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Article

Randomized Clinical Trial to Evaluate the Morphological Changes in the Adventitial Vasa Vasorum Density and Biological Markers of Endothelial Dysfunction in Subjects with Moderate Obesity Undergoing a Very Low-Calorie Ketogenic Diet

1
Obesity, Diabetes and Metabolism (ODIM) Research Group, IRBLleida, University of Lleida, 25198 Lleida, Spain
2
Endocrinology and Nutrition Department, Arnau de Vilanova University Hospital, 25198 Lleida, Spain
3
Pronokal Group, 08009 Barcelona, Spain
4
Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Nutrients 2022, 14(1), 33; https://doi.org/10.3390/nu14010033
Submission received: 26 November 2021 / Revised: 18 December 2021 / Accepted: 20 December 2021 / Published: 23 December 2021
(This article belongs to the Special Issue The Role of Ketogenic Diet in Human Health and Diseases)

Abstract

:
Weight loss after bariatric surgery decreases the earlier expansion of the adventitial vasa vasorum (VV), a biomarker of early atheromatous disease. However, no data are available regarding weight loss achieved by very low calorie ketogenic diets (VLCKD) on VV and lipid-based atherogenic indices. A randomized clinical trial was performed to examine changes in adventitial VV density in 20 patients with moderate obesity who underwent a 6-month very low calorie ketogenic diet (VLCKD, 600–800 kcal/day), and 10 participants with hypocaloric diet based on the Mediterranean Diet (MedDiet, estimated reduction of 500 kcal on the usual intake). Contrast-enhanced carotid ultrasound was used to assess the VV. Body composition analysis was also used. The atherogenic index of plasma (log (triglycerides to high-density lipoprotein cholesterol ratio)) and the triglyceride-glucose index were calculated. Serum concentrations of soluble intercellular adhesion molecule 1 (sICAM-1), and soluble vascular cell adhesion molecule 1 (sVCAM-1) were measured. The impact of weight on quality of life-lite (IWQOL-Lite) questionnaire was administered. Participants of intervention groups displayed a similar VV values. Significant improvements of BMI (−5.3 [−6.9 to −3.6] kg/m2, p < 0.001), total body fat (−7.0 [−10.7 to −3.3] %, p = 0.003), and IWQOL-Lite score (−41.4 [−75.2 to −7.6], p = 0.027) were observed in VLCKD group in comparison with MedDiet group. Although after a 6-months follow-up period VV density (mean, right and left sides) did not change significantly in any group, participants in the VLCKD exhibited a significantly decrease both in their atherogenic index of plasma and serum concentration of sICAM-1. A 6-month intervention with VLCKD do not impact in the density of the adventitial VV in subjects with moderate obesity, but induces significant changes in markers of endothelial dysfunction and CV risk.

1. Introduction

The prevalence of obesity is increasing worldwide [1]. In the United States, 34.9% of adults have obesity [2]. In Spain, the prevalence reaches 21.6%, and it is more common in women and with increasing age [3]. Obesity is one of the world’s deadliest diseases, with more than 2.8 million deaths annually, and it has a marked impact on cardiovascular (CV) morbidity and mortality [4,5,6]. It has been reported that CV disease tends to occur at an earlier age in patients with obesity [7]. Therefore, the early diagnosis of asymptomatic atherosclerosis may be key to preventing CV events and reducing mortality in persons with obesity.
The vasa vasorum (VV) form a microvascular network situated in the adventitial layer of medium and large arteries. Their function is to supply nutrients and oxygen to the cells of the vessel wall [8]. Proliferation of the VV is the earliest defensive response to endothelial damage by potential stressors, such as hypoxia, inflammation, and hyperglycemia [9,10,11]. There is an association between VV proliferation and inflammation, intraplaque hemorrhage, and thin-cap fibroatheromas [12]. Thus, patients with morbid obesity show an increased VV density compared with subjects with a normal weight and overweight [13]. Our group has demonstrated how weight loss after bariatric surgery has a favorable impact on the carotid wall, reducing VV density [13]. However, today there is still no information on changes in VV density after weight loss through lifestyle modification.
Although ketogenic diets restrict carbohydrate intake, the specific daily calorie intake, macronutrient composition and duration vary between each intervention [14]. Very low calorie ketogenic diets (VLCKD) are characterized by a low carbohydrate content (<50 g/day), 1–1.5 g of protein/kg ideal body weight, less than 10 g of fat/day, and a daily intake of between 500 and 800 kcal. VLCKDs have been proposed as an effective weight loss method for patients with obesity [15,16]. Although this nutritional intervention is widely accepted, there are some potential negative cardiovascular effects still under discussion [17]. No previous research has been done on the effect of VLCKDs on VV. To study this relationship and further investigate VV dynamics, we designed a randomized clinical trial to evaluate the morphological changes of the carotid arterial wall in subjects with moderate obesity who underwent weight loss treatment with a commercial VLCKD weight-loss program (PNK Method®).

2. Materials and Methods

2.1. Ethics Approval

The protocol was accepted by the University Hospital Arnau de Vilanova ethics committee (CEIC-1966L) and previously registered in the ClinicalTrials.gov (Identifier: NCT01865448; last access date: 19 December 2021). The clinical trial was carried out in accordance with the ethical guidelines of the Helsinki Declaration and Spanish legislation regarding the protection of personal information. Written informed consent was obtained from all participants before their entry into the study. Reporting has followed the CONSORT guideline for randomized trials [18].

2.2. Study Design and Participants

Randomized, controlled, single-center clinical trial that analyzed changes in adventitial VV density and in the biological markers of endothelial dysfunction in patients with moderate obesity undergoing a multidisciplinary, structured program for weight loss using a VLCKD over a 6-month period. The study was performed in the Arnau de Vilanova University Hospital in Lleida, Spain. This hospital is a Center of Obesity Management accredited by the European Association for the Study of Obesity. The study was open for recruitment from May 2019 to December 2019, when the target sample size was reached.
The study flow chart is displayed in Figure 1. Eligible participants included men and women aged 18–65 years, with a body mass index (BMI) between 35.0 and 39.9 kg/m2. All patients provided written consent confirming their willingness to participate in the study and had to agree to participate in a designed weight loss program. The following exclusion criteria were applied: (i) previous bariatric surgical procedure; (ii) any type of diabetes mellitus at any phase of the study (using the American Diabetes Association criteria); (iii) drug addiction or psychological disturbances including eating disorders or alcoholism; (iv) chronic kidney disease (estimated glomerular filtration rate <60 mL/min/1.73 m2) or liver cirrhosis; (v) history of CV or cerebrovascular disease; (vi) pregnant or breast-feeding women; and (vii) individuals with a known allergy to sulfur hexafluoride ultrasound contrast.

2.3. Interventions

Using the standard deviation of adventitial VV from a previous study, we determined that the minimum necessary sample size was 30 subjects [19]. Therefore, patients were randomized 2:1 into two groups to receive either a commercially available VLCKD (n = 20) or a standard-of-care approach based on the Mediterranean diet (MedDiet, n = 10) for weight loss purposes. Random allocation was done by an external company using a computer-generated randomization list. All individuals underwent clinical assessment by a specialist endocrinologist and dietitian each month throughout the course of the study. Aiming for congruency between both groups, adequate dietary habits, and intense physical activity indications (140 to 280 min weekly) were provided by expert support staff.
The VLCKD group completed a diet according to the PNK® Method, a commercial weight loss program based on a high biological value protein preparation [20]. Each protein preparation contained 15 g protein, 4 g carbohydrates, 3 g fat, and provided 90–100 kcal. The VLCKD arm was supplemented with 500 mg/day docosahexaenoic acid (DHA) [20]. During the firsts three months of the treatment period patients were kept in ketosis (“active stage”) of the method. This stage consists of a very low carbohydrate (<50 g daily from vegetables with a low glycemic index), very low calorie (600–800 kcal/day), and very low fat (only 10 g of extra virgin olive oil per day) diet. The quantity of high-biological-value proteins was between 0.8 and 1.2 g per kilogram ideal body weight, to cover minimum body requirements and to avoid the loss of fat-free mass. Supplements of vitamins and minerals, including potassium, sodium, magnesium, and calcium, and DHA (docosahexaenoic acid) were provided according to international recommendations [21]. This active stage was followed by a 2-month VLCKD in which one of the protein servings was substituted with a natural protein (e.g., meat or fish). Finally, a 1-month controlled diet in which a second serving of low-fat natural protein was substituted for the second serving of biological protein preparation. These timings were personalized for each patient.
Participants allocated to the standard hypocaloric diet (estimated reduction of 500 kcal on the usual intake) based on the Mediterranean diet (MedDiet) followed the same monthly visits as the VLCKD group. MedDiet consisted of 50% carbohydrates (including whole grains and vegetables), approximately 15% protein, and 35% fat (including extra virgin olive oil and nuts).
Finally, 20 subjects with normal weight or overweight (BMI 24.2 ± 2.0 kg/m2) were used as a baseline control group only for the evaluation of the adventitial VV density. Those individuals were matched for sex and age (±2 years) with the global interventional group.

2.4. Contrast-Enhanced Carotid Ultrasound

Contrast-enhanced carotid ultrasound was performed using the Siemens Sequoia 512 ultrasound system, equipped with a 15L8W linear array probe and with ultrasound contrast software (Cadence contrast Pulse Sequencing technology). A phospholipidic shell containing sulfur hexafluoride (Sonovue, Bracco Spa, Milan, Italy) was used as the contrast agent. Full technical details have been described previously [13,22]. Results are displayed for the right and left sides, and the mean VV signal was calculated for the 2 sides. All ultrasound studies were stored digitally for retrospective analysis and were quantified by a blinded investigator. Baseline evaluation was followed by a repeat evaluation 6 months after the nutritional intervention.

2.5. Body Composition, Anthropometric Data, and Quality-of-Life Evaluation

Body composition at baseline and after 6 months of follow-up was analyzed using a segmental body composition device (Tanita MC-580, Amsterdam, The Netherlands). Weight and height were estimated in light clothing and without shoes using standard equipment, to the nearest 0.5 kg and 1.0 cm, respectively. BMI was defined as the body weight (kg) divided by the square of the body height (m). Waist circumference was measured with the participant in a standing position, using a non-elastic tape with an accuracy of 0.1 cm places in the horizontal plane between the iliac crest and the lowest rib. To avoid inter-observer and inter-device variability, all measurements were taken by a single experienced investigator using the same devices.
The Impact of Weight on Quality of Life-Lite (IWQOL-Lite) was administered to quantitatively assess the individual’s perception of how weight affected their day-to-day life [23]. This questionnaire comprises 31 items grouped into 5 dimensions: physical functioning, self-esteem, sexual life, public distress, and work. The measure provides scores for each dimension and a total score.

2.6. Laboratory Assessment

Blood samples were taken by direct puncture of the antecubital vein after an overnight fast of 8 h and just before administration of the contrast agent. Blood samples were separated by centrifugation (2.000× g at 4 °C for 20 min) and analyzed in the clinical laboratory of our hospital using standard methods. The atherogenic index of plasma (AIP), which is considered a significant predictor of CV risk, was calculated as the logarithmically transformed ratio of molar concentrations of triglycerides to HDL-cholesterol [24]. The triglyceride-glucose index, a novel biomarker that has been associated with morphological characteristics of the atheroma plaque and CV events, was also measured [25]. Finally, serum concentrations of soluble intercellular adhesion molecule 1 (sICAM-1) and soluble vascular cell adhesion molecule 1 (sVCAM-1) were measured on serum samples. All measurements were made in duplicate using an enzyme-linked immunosorbent assay (ELISA) kit, following the instructions of manufacturer (Abcam, Cambridge, UK).

2.7. Statistical Analysis

A normal distribution of the variables was established using the Kolmogorov–Smirnov test, and data were expressed as the mean ± SD or as percentages. The main clinical data across the three groups were compared using Student’s t-test or the ANOVA test for continuous variables. Pearson’s chi-squared test was used for categorical data. In addition, the relationship between continuous variables was assessed using the Pearson correlation test. Changes in the biomarkers and other parameters were evaluated using a paired t-test. For this exploratory pilot study to prove a concept, we did not perform a power analysis to estimate sample sizes.
All p values were based on a 2-sided test for statistical significance. Significance was accepted as a p value less than 0.05. Statistical analyses were performed using the SPSS software (IBM SPSS Statistics for Windows, Version 27, Armonk, NY, USA).

3. Results

At baseline, no significant differences were observed between the intervention groups (VLCKD and MedDiet) regarding age, sex, anthropometry, clinical and metabolic parameters, and quality of life (Table 1).
Although adventitial VV density was significantly lower in subjects with normal weight or overweight in comparison with participants with moderate obesity, no differences were observed (mean, left and right sides) between the VLCKD and MedDiet groups at baseline (Table 1, Figure 2). Similarly, at baseline, no intergroup differences were observed in the biological markers of endothelial dysfunction (Table 1).
After a follow-up period of 6 months, participants allocated to the VLCKD group, in comparison with the MedDiet group, experienced a significant decrease in their BMI (−5.2 kg/m2 [95% confidence interval (CI) −8.3 to −2.0 kg/m2], p = 0.003) and total body fat (−5.7% [95% CI −10.4% to −1.0%], p = 0.022), without differences in lean body mass (−5.2% [95% CI 7.0% to −17.4%], p = 0.370), and a significant improvement in their quality of life (−31.7 [95% CI −66.7 to 3.4], p = 0.041) (Table 2, Figure 3). Participants in the VLCKD group experienced improvements in physical functioning (−21.3 [95% CI −34.7 to −7.9], p = 0.009), self-esteem (−14.3 [95% CI −20.9 to −7.7], p = 0.003), sexual life (−4.8 (95% CI −8.3 to 1.2), p = 0.020], and public distress [−6.4 [95% CI −12.2 to −0.6], p = 0.037). Only the work dimension remained unaffected.
No differences were detected in the mean adventitial VV density between the 2 intervention groups at the end of the follow-up period (Table 3, Figure 4). Right and left VV densities were also similar in the 2 groups after the follow-up period (Table 3). However, at the end of the follow-up period, participants in the VLCKD group showed a significant fall in the serum concentration of ICAM-1 in comparison with the MedDiet group (−60.9 [95% CI −115.0 to −6.8] ng/mL, p = 0.029). In addition, there was a significant decrease in the AIP between baseline and the end of the study in the VLCKD group (Table 4). sVCAM-1 showed no treatment effect in either group.
Finally, two patients in the VLCKD group reported adverse events, mainly affecting gastrointestinal system. Both patients were finally excluded from the study. Furthermore, one patient in the MedDiet group reported a serious adverse event. This event was a non-fatal episode of heart failure that required hospitalization for 3 days, and which resolved after treatment with beta-blockers.

4. Discussion

The link between obesity and CV diseases is well recognized and is predominantly related to increased adiposity. However, the pathophysiological mechanisms have not been fully elucidated. This study was therefore designed to investigate the morphological changes in the carotid arterial wall induced by different weight-loss interventions in subjects with moderate obesity. Our data support the hypothesis that a short period of 6 months is insufficient to induce morphological changes in the carotid wall, but that such interventions can produce improvements in the serological markers of endothelial dysfunction, such as ICAM-1, and in the lipid-based atherogenic indices. These positive findings may be related to a 5-point reduction in the BMI and an almost 6% reduction in total body fat. The VLCKD, as a part of a multicomponent strategy and under strict medical supervision, is an effective plan for the treatment of obesity [15,16] and type 2 diabetes [26,27]. Although some reports suggest that ketogenic diets have been associated with higher CV risk [17], our data do not support this hypothesis and show a positive safety profile with this weight loss approach.
The VV nourish the wall of medium and large arteries [28]. However, their proliferation is seen in the initial stages of atherosclerosis. In pigs fed with a high-fat diet, VV proliferation was detected before the development of intimal thickening and even before the onset of endothelial dysfunction [29]. This discovery suggests that factors other than intimal hypoxia, such as a dysfunctional perivascular adipose tissue, may promote VV proliferation in the atheromatous process [30,31]. In obesity, adipocytokines from the perivascular adipose tissue promote adventitial inflammation, neovascularization, and neointima formation, playing a key role in the pathogenesis of atheromatous changes; the VV may transport inflammatory cells between the neointima and the perivascular adipose tissue [32]. Previous research by our group showed that neovascularization, measured by adventitial VV density, was higher in patients with morbid obesity than in normal weight subjects [13]. This increase in VV density was especially high among subjects with sleep apnea-hypopnea syndrome, reinforcing the role of nocturnal hypoxia in the genesis of atheromatous disease [33]. It has been also shown that adventitial VV density decreases significantly 6 and 12 months after bariatric surgery [13,22]. However, the present study found no effect on VV density after a 6-month weight-loss intervention with a VLCKD or MedDiet. This lack of effect may be due in part to the short follow-up period, the lower baseline BMI, and the smaller reduction in BMI than occurred in the studies with bariatric surgery [13,22].
VLCKD has been proposed as an effective weight loss method for patients with obesity [15,16], including its use in the preoperative setting for bariatric surgery [34]; it has even been included in the preoperative consensus statement from the Italian Society of Endocrinology [27]. Our results agree with previous studies comparing the VLCKD with a hypocaloric diet based on the MedDiet, showing VLCKD to be associated with marked reductions not only in BMI, but also in total body fat and waist circumference, all of which are related to the incidence of CV disease [35,36,37]. It has been suggested that nutritional ketosis and DHA supplementation may be added to the greater weight loss as responsible for these beneficial effects [15,20,38]. Dietary carbohydrate restriction increases the production of the ketone body ß-hydroxybutyrate, shifting tissue cross-talk from a proinflammatory to an anti-atherogenic environment, addressing the residual inflammatory risk and reducing most of the atherosclerotic CV disease biomarkers [39]. The nutraceutical supplementation of VLCKD with commercially available DHA produces both vaso- and cardioprotective responses that have been widely demonstrated both in vitro and in vivo [40]. In addition, VLCKDs have also been associated with reductions in visceral adiposity, at a rate of 505 g/week [41]. It must be highlighted that the loss of weight and fat mass in our study were achieved without changes in fat-free mass, avoiding the risk of sarcopenia-related physical disability, frailty, poor quality of life, and mortality [42,43,44]. In point of fact, a significant improvement in quality of life was reported by participants in the VLCKD group in our study. Similar data have previously been reported in the physical function and self-esteem scores [45]. We also observed improvements in sexual life and public distress.
Finally, we observed a marked fall in the serum concentration of sICAM-1, though not of sVCAM-1, in the VLCKD group in our study, as well as a significant decrease in the AIP. These effects are consistent with the findings in other studies [46]. sICAM-1 appears to be an earlier marker of endothelial injury than sVCAM-1 [47]. This information has been clearly established by prospective studies with several years of follow-up [48,49]. Consequently, we suggest that 6 months of a VLCKD in subjects with moderate obesity and without previous CV disease is sufficient to ameliorate endothelial dysfunction associated with obesity. Further studies are needed to determine whether a longer period of time or greater weight loss could provoke positive changes in the adventitial VV density.
This study has certain limitations. The number of participants in each arm of the study was small for which our conclusions need to be replicated in the future in larger studies. Other relevant information that could influence the results, such as menopausal status, was not available in our study [50]. The gold standards for the assessment of body adiposity are dual-energy X-ray absorptiometry and magnetic resonance imaging [51,52]. However, previous studies have reported similar results using dual-energy X-ray absorptiometry, multifrequency bioelectrical impedance, and air displacement plethysmography [15]. In addition, a longer follow-up period would improve our data. Finally, the two interventions were not compared in an iso-caloric manner.

5. Conclusions

In conclusion, a 6-month intervention with a VLCKD did not impact the density of the adventitial VV in subjects with moderate obesity, though it did produce a reduction in markers of endothelial dysfunction and of atheromatous disease. These results are associated with a marked decrease in body weight and total body fat, without affecting fat-free mass, compared with hypocaloric diets based on the MedDiet. VV measurement is complex and time-consuming. We recommend monitoring sICAM-1 levels in subjects with obesity to achieve a better classification of CV risk.

Author Contributions

Conceptualization, E.S., M.-D.S.; Data curation, E.S., M.-D.S.; Formal analysis, E.S., M.-D.S.; Funding acquisition, A.L.; Investigation, M.N.-G., M.B.; Methodology, I.S., A.Y.; Project administration, I.S., A.Y.; Resources, A.L.; Supervision, A.L.; Visualization, M.N.-G., M.B.; Writing—original draft, E.S., M.-D.S.; Writing—review and editing, A.L. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by a grant (PNK-VV-01) from Pronokal Spain. The diet products under study were supplied by Pronokal Spain at the request of the sponsor of the study expressly for the clinical trial, taking responsibility for the manufacture, packaging and labeling. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the University Hospital Arnau de Vilanova Ethics Committee (CEIC-1966L).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author, [A.L.]. The data is not publicly available as it could compromise the privacy of research participants.

Acknowledgments

The authors would like to thank to the patients. The funders had no role in study design, the collection, analysis and interpretation of data, report writing, or the decision to submit the article for publication. We want to particularly acknowledge the IRBLleida (B.0000682) Biobank integrated in the Spanish National Biobanks Network of Instituto de Salud Carlos III (PT17/0015/0045 and PT17/0015/0027, respectively), and Tumour Bank Network of Catalonia for its collaboration.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Inoue, Y.; Qin, B.; Poti, J.; Sokol, R.; Gordon-Larsen, P. Epidemiology of Obesity in Adults: Latest Trends. Curr. Obes. Rep. 2018, 7, 276–288. [Google Scholar] [CrossRef]
  2. Ogden, C.L.; Carroll, M.D.; Kit, B.K.; Flegal, K.M. Prevalence of childhood and adult obesity in the United States, 2011–2012. JAMA 2014, 26, 806–814. [Google Scholar] [CrossRef] [Green Version]
  3. Aranceta-Bartrina, J.; Bartrina, J.A.; Alberdi-Aresti, G.; Ramos-Carrera, N.; Lázaro-Masedo, S. Prevalence of General Obesity and Abdominal Obesity in the Spanish Adult Population (Aged 25–64 Years) 2014–2015: The ENPE Study. Rev. Española Cardiol. 2016, 69, 579–587. [Google Scholar] [CrossRef]
  4. World Health Organization (WHO). Global Health Observatory Data Repository. Available online: https://www.who.int/features/factfiles/obesity/en/ (accessed on 19 December 2021).
  5. Nyberg, S.T.; Batty, G.D.; Pentti, J.; Virtanen, M.; Alfredsson, L.; Fransson, E.I. Obesity and loss of disease-free years owing to major non-communicable diseases: A multicohort study. Lancet Public Health 2018, 3, e490–e497. [Google Scholar] [CrossRef] [Green Version]
  6. NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19·2 million participants. Lancet 2016, 2, 1377–1396. [Google Scholar]
  7. Garcia-Labbé, D.; Ruka, E.; Bertrand, O.F.; Voisine, P.; Costerousse, O.; Poirier, P. Obesity and coronary artery disease: Evaluation and treatment. Can. J. Cardiol. 2015, 31, 184–194. [Google Scholar] [CrossRef] [PubMed]
  8. Kawabe, J.; Hasebe, N. Role of the vasa vasorum and vascular resident stem cells in atherosclerosis. Biomed. Res. Int. 2014, 2014, 701571. [Google Scholar] [CrossRef]
  9. Subbotin, V.M. Excessive intimal hyperplasia in human coronary arteries before intimal lipid depositions is the initiation of coronary atherosclerosis and constitutes a therapeutic target. Drug Discov. Today 2016, 21, 1578–1595. [Google Scholar] [CrossRef] [Green Version]
  10. Sedding, D.G.; Boyle, E.C.; Demandt, J.A.F.; Sluimer, J.C.; Dutzmann, J.; Haverich, A.; Bauersachs, J. Vasa Vasorum Angiogenesis: Key Player in the Initiation and Progression of Atherosclerosis and Potential Target for the Treatment of Cardiovascular Disease. Front. Immunol. 2018, 9, 706. [Google Scholar] [CrossRef] [Green Version]
  11. Ferns, G.A.A.; Heikal, L. Hypoxia in Atherogenesis. Angiology 2017, 68, 472–493. [Google Scholar] [CrossRef] [PubMed]
  12. Moreno, P.R.; Purushothaman, K.R.; Fuster, V.; Echeverri, D.; Truszczynska, H.; Sharma, S.K. Plaque neovascularization is increased in ruptured atherosclerotic lesions of human aorta: Implications for plaque vulnerability. Circulation 2004, 110, 2032–2038. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Rius, F.; Sánchez, E.; Betriu, À.; Baena-Fustegueras, J.A.; Yeramian, A.; Vidal, T.; Hernández, M.; López-Cano, C.; Bueno, M.; Gutiérrez-Carrasquilla, L.; et al. Influence of Morbid Obesity and Bariatric Surgery Impact on the Carotid Adventitial Vasa Vasorum Signal. Obes. Surg. 2018, 28, 3935–3942. [Google Scholar] [CrossRef]
  14. Trimboli, P.; Castellana, M.; Bellido, D.; Casanueva, F.F. Confusion in the nomenclature of ketogenic diets blurs evidence. Rev. Endocr. Metab. Disord. 2020, 21, 1–3. [Google Scholar] [CrossRef] [PubMed]
  15. Gomez-Arbelaez, D.; Bellido, D.; Castro, A.I.; Mayan, L.O.; Carreira, J.; Galban, C.; Olmos, M.; Ángel, M.; Crujeiras, A.B.; Sajoux, I.; et al. Body Composition Changes After Very-Low-Calorie Ketogenic Diet in Obesity Evaluated by 3 Standardized Methods. J. Clin. Endocrinol. Metab. 2017, 102, 488–498. [Google Scholar] [CrossRef] [PubMed]
  16. Muscogiuri, G.; El Ghoch, M.; Colao, A.; Hassapidou, M.; Yumuk, V.; Busetto, L.; Obesity Management Task Force (OMTF) of the European Association for the Study of Obesity (EASO). European Guidelines for Obesity Management in Adults with a Very Low-Calorie Ketogenic Diet: A Systematic Review and Meta-Analysis. Obes. Facts 2021, 14, 222–245. [Google Scholar] [CrossRef]
  17. Crosby, L.; Davis, B.; Joshi, S.; Jardine, M.; Paul, J.; Neola, M.; Barnard, N.D. Ketogenic Diets and Chronic Disease: Weighing the Benefits Against the Risks. Front. Nutr. 2021, 8, 702802. [Google Scholar] [CrossRef]
  18. Schulz, K.F.; Altman, D.G.; Moher, D. CONSORT 2010 Statement: Updated guidelines for reporting parallel group randomised trials. BMJ Med. 2010, 8, 18. [Google Scholar]
  19. Arcidiacono, M.V.; Rubinat, E.; Borràs, M.; Betriu, A.; Trujillano, J.; Vidal, T.; Mauricio, D.; Fernández, E. Left carotid adventitial vasa vasorum signal correlates directly with age and with left carotid intima-media thickness in individuals without atheromatous risk factors. Cardiovasc. Ultrasound 2015, 13, 20. [Google Scholar] [CrossRef] [Green Version]
  20. de Luis, D.; Domingo, J.C.; Izaola, O.; Casanueva, F.F.; Bellido, D.; Sajoux, I. Effect of DHA supplementation in a very low-calorie ketogenic diet in the treatment of obesity: A randomized clinical trial. Endocrine 2016, 54, 111–122. [Google Scholar] [CrossRef]
  21. SCOOP-VLCD TASK. Reports on Tasks for Scientific Cooperation. Collection of Data on Products Intendend for Use in Very-Low-Calorie-Diets. Report Brussels European Comission. 2002. Available online: http://www.foodedsoc.org/scoop.pdf (accessed on 18 December 2021).
  22. Carmona-Maurici, J.; Cuello, E.; Sánchez, E.; Miñarro, A.; Rius, F.; Bueno, M.; de la Fuente, M.C.; Kissler, J.J.O.; Vidal, T.; Maria, V.; et al. Impact of bariatric surgery on subclinical atherosclerosis in patients with morbid obesity. Surg. Obes. Relat. Dis. 2020, 16, 1419–1428. [Google Scholar] [CrossRef]
  23. Kolotkin, R.L.; Crosby, R.D. Psychometric evaluation of the impact of weight on quality of life-lite questionnaire (IWQOL-lite) in a community sample. Qual. Life Res. 2002, 11, 157–171. [Google Scholar] [CrossRef] [PubMed]
  24. Fernández-Macías, J.C.; Ochoa-Martínez, A.C.; Varela-Silva, J.A.; Pérez-Maldonado, I.N. Atherogenic Index of Plasma: Novel Predictive Biomarker for Cardiovascular Illnesses. Arch. Med. Res. 2019, 50, 285–294. [Google Scholar] [CrossRef]
  25. Jin, J.-L.; Cao, Y.-X.; Wu, L.-G.; You, X.-D.; Guo, Y.-L.; Wu, N.-Q.; Zhu, C.-G.; Gao, Y.; Dong, Q.-T.; Zhang, H.-W.; et al. Triglyceride glucose index for predicting cardiovascular outcomes in patients with coronary artery disease. J. Thorac. Dis. 2018, 10, 6137–6146. [Google Scholar] [CrossRef] [PubMed]
  26. Casanueva, F.F.; Castellana, M.; Bellido, D.; Trimboli, P.; Castro, A.I.; Sajoux, I.; Carnero, M.G.R.; Gomez-Arbelaez, D.; Crujeiras, A.B.; Olmos, M.; et al. Ketogenic diets as treatment of obesity and type 2 diabetes mellitus. Rev. Endocr. Metab. Disord. 2020, 21, 381–397. [Google Scholar] [CrossRef]
  27. Caprio, M.; Infante, M.; Moriconi, E.; Armani, A.; Fabbri, A.; Mantovani, G.; Mariani, S.; Lubrano, C.; Poggiogalle, E.; Migliaccio, S.; et al. Very-low-calorie ketogenic diet (VLCKD) in the management of metabolic diseases: Systematic review and consensus statement from the Italian Society of Endocrinology (SIE). J. Endocrinol. Investig. 2019, 42, 1365–1386. [Google Scholar] [CrossRef]
  28. Heistad, D.D.; Marcus, M.L.; Larsen, G.E.; Armstrong, M.L. Role of vasa vasorum in nourishment of the aortic wall. Am. J. Physiol. 1981, 240, H781–H787. [Google Scholar] [CrossRef]
  29. Xu, J.; Lu, X.; Shi, G.P. Vasa vasorum in atherosclerosis and clinical significance. Int. J. Mol. Sci. 2015, 16, 11574–11608. [Google Scholar] [CrossRef] [Green Version]
  30. Chatterjee, T.K.; Aronow, B.J.; Tong, W.S.; Manka, D.; Tang, Y.; Bogdanov, V.; Unruh, D.; Blomkalns, A.L.; Piegore, M.G.; Weintraub, D.S.; et al. Human coronary artery perivascular adipocytes overexpress genes responsible for regulating vascular morphology, inflammation, and hemostasis. Physiol. Genom. 2013, 45, 697–709. [Google Scholar] [CrossRef] [Green Version]
  31. Manka, D.; Chatterjee, T.K.; Stoll, L.L.; Basford, J.E.; Konaniah, E.S.; Srinivasan, R.; Bogdanov, V.Y.; Tang, Y.; Blomkalns, A.L.; Hui, D.Y.; et al. Transplanted perivascular adipose tissue accelerates injury-induced neointimal hyperplasia: Role of monocyte chemoattractant protein-1. Arterioscler. Thromb. Vasc. Biol. 2014, 34, 1723–1730. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Kim, H.W.; Shi, H.; Winkler, M.A.; Lee, R.; Weintraub, N.L. Perivascular Adipose Tissue and Vascular Perturbation/Atherosclerosis. Arterioscler. Thromb. Vasc. Biol. 2020, 40, 2569–2576. [Google Scholar] [CrossRef]
  33. López-Cano, C.; Rius, F.; Sánchez, E.; Gaeta, A.M.; Betriu, À.; Fernández, E.; Yeramian, A.; Hernández, M.; Bueno, M.; Gutiérrez-Carrasquilla, L.; et al. The influence of sleep apnea syndrome and intermittent hypoxia in carotid adventitial vasa vasorum. PLoS ONE 2019, 14, e0211742. [Google Scholar] [CrossRef]
  34. Castellana, M.; Biacchi, E.; Procino, F.; Casanueva, F.F.; Trimboli, P. Very-low-calorie ketogenic diet for the management of obesity, overweight and related disorders. Minerva Endocrinol. 2020, 46, 161–167. [Google Scholar] [CrossRef]
  35. Castellana, M.; Conte, E.; Cignarelli, A.; Perrini, S.; Giustina, A.; Giovanella, L.; Giorgino, F.; Trimboli, P. Efficacy and safety of very low calorie ketogenic diet (VLCKD) in patients with overweight and obesity: A systematic review and meta-analysis. Rev. Endocr. Metab. Disord. 2020, 21, 5–16. [Google Scholar] [CrossRef]
  36. Sánchez, M.; Sánchez, E.; Hernández, M.; González, J.; Purroy, F.; Rius, F.; Pamplona, R.; Farràs-Sallés, C.; Gutiérrez-Carrasquilla, L.; Fernández, E.; et al. Dissimilar Impact of a Mediterranean Diet and Physical Activity on Anthropometric Indices: A Cross-Sectional Study from the ILERVAS Project. Nutrients 2019, 11, 1359. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Cunha, G.M.; Guzman, G.; De Mello, L.L.C.; Trein, B.; Spina, L.; Bussade, I.; Prata, J.M.; Sajoux, I.; Countinho, W. Efficacy of a 2-Month Very Low-Calorie Ketogenic Diet (VLCKD) Compared to a Standard Low-Calorie Diet in Reducing Visceral and Liver Fat Accumulation in Patients with Obesity. Front. Endocrinol. 2020, 11, 607. [Google Scholar] [CrossRef]
  38. Arnold, N.; Lechner, K.; Waldeyer, C.; Shapiro, M.D.; Koenig, W. Inflammation and Cardiovascular Disease: The Future. Eur. Cardiol. 2021, 16, e20. [Google Scholar] [CrossRef] [PubMed]
  39. Bhanpuri, N.H.; Hallberg, S.J.; Williams, P.T.; McKenzie, A.L.; Ballard, K.D.; Campbell, W.W.; McCarter, J.P.; Phinney, S.D.; Volek, J.S. Cardiovascular disease risk factor responses to a type 2 diabetes care model including nutritional ketosis induced by sustained carbohydrate restriction at 1 year: An open label, non-randomized, controlled study. Cardiovasc. Diabetol. 2018, 17, 56. [Google Scholar] [CrossRef] [Green Version]
  40. Oppedisano, F.; Macrì, R.; Gliozzi, M.; Musolino, V.; Carresi, C.; Maiuolo, J.; Bosco, F.; Nucera, S.; Zito, M.C.; Guarnieri, L.; et al. The Anti-Inflammatory and Antioxidant Properties of n-3 PUFAs: Their Role in Cardiovascular Protection. Biomedicines 2020, 8, 306. [Google Scholar] [CrossRef]
  41. Volek, J.S.; Sharman, M.J. Cardiovascular and hormonal aspects of very-low-carbohydrate ketogenic diets. Obes. Res. 2004, 12 (Suppl. S2), 115S–123S. [Google Scholar] [CrossRef]
  42. Merra, G.; Miranda, R.; Barrucco, S.; Gualtieri, P.; Mazza, M.; Moriconi, E.; Marchetti, M.; Chang, T.F.M.; De Lorenzo, A.; Di Renzo, L. Very-low-calorie ketogenic diet with aminoacid supplement versus very low restricted-calorie diet for preserving muscle mass during weight loss: A pilot double-blind study. Eur. Rev. Med. Pharmacol. Sci. 2016, 20, 2613–2621. [Google Scholar] [PubMed]
  43. Muscaritoli, M.; Anker, S.D.; Argiles, J.; Aversa, Z.; Bauer, J.M.; Biolo, G.I.; Boirie, Y.; Bosaeus, I.; Cederholm, T.; Costelli, P.; et al. Consensus definition of sarcopenia, cachexia and pre-cachexia: Joint document elaborated by special interest groups (SIG) “cachexia-anorexia in chronic wasting diseases” and “nutrition in geriatrics”. Clin. Nutr. 2010, 29, 154–159. [Google Scholar] [CrossRef] [PubMed]
  44. Santilli, V.; Bernetti, A.; Mangone, M.; Paoloni, M. Clinical definition of sarcopenia. Clin. Cases Miner. Bone Metab. 2014, 11, 177–180. [Google Scholar] [CrossRef] [PubMed]
  45. Castro, A.I.; Gomez-Arbelaez, D.; Crujeiras, A.B.; Granero, R.; Aguera, Z.; Jimenez-Murcia, S.; Sajoux, I.; Lopez-Jaramillo, P.; Fernandez-Aranda, F.; Casanueva, F.F. Effect of A Very Low-Calorie Ketogenic Diet on Food and Alcohol Cravings, Physical and Sexual Activity, Sleep Disturbances, and Quality of Life in Obese Patients. Nutrients 2018, 10, 1348. [Google Scholar] [CrossRef] [Green Version]
  46. Forsythe, C.E.; Phinney, S.; Fernandez, M.L.; Quann, E.E.; Wood, R.J.; Bibus, D.M.; Kraemer, W.J.; Feinman, R.D.; Volek, J.S. Comparison of Low Fat and Low Carbohydrate Diets on Circulating Fatty Acid Composition and Markers of Inflammation. Lipids 2007, 43, 65–77. [Google Scholar] [CrossRef] [PubMed]
  47. Fu, Z.; Zhou, E.; Wang, X.; Tian, M.; Kong, J.; Lingyun, Z.; Jian, K.; Niu, C.; Shen, H.; Dong, S.; et al. Oxidized low-density lipoprotein-induced microparticles promote endothelial monocyte adhesion via intercellular adhesion molecule 1. Am. J. Physiol. Physiol. 2017, 313, C567–C574. [Google Scholar] [CrossRef] [PubMed]
  48. Tzoulaki, I.; Murray, G.D.; Lee, A.J.; Rumley, A.; Lowe, G.D.O.; Fowkes, F.G.R. C-reactive protein, interleukin- 6, and soluble adhesion molecules as predictors of progressive peripheral atherosclerosis in the general population: Edinburgh artery study. Circulation 2005, 112, 976–983. [Google Scholar] [CrossRef] [PubMed]
  49. Pradhan, A.D.; Rifai, N.; Ridker, P.M. Soluble intercellular adhesion molecule-1, soluble vascular adhesion molecule-1, and the development of symptomatic peripheral arterial disease in men. Circulation 2002, 106, 820–825. [Google Scholar] [CrossRef] [Green Version]
  50. D’Abbondanza, M.; Ministrini, S.; Pucci, G.; Migliola, E.N.; Martorelli, E.-E.; Gandolfo, V.; Siepi, D.; Lupattelli, G.; Vaudo, G. Very Low-Carbohydrate Ketogenic Diet for the Treatment of Severe Obesity and Associated Non-Alcoholic Fatty Liver Disease: The Role of Sex Differences. Nutrients 2020, 12, 2748. [Google Scholar] [CrossRef] [PubMed]
  51. Fielding, R.A.; Vellas, B.; Evans, W.J.; Bhasin, S.; Morley, J.E.; Newman, A.B.; van Kan, G.A.; Andrieu, S.; Bauer, J.; Breuille, D.; et al. Sarcopenia: An undiagnosed condition in older adults—Current consensus definition: Prevalence, etiology, and consequences. International Working Group on Sarcopenia. J. Am. Med. Dir. Assoc. 2011, 12, 249–256. [Google Scholar] [CrossRef] [Green Version]
  52. Cruz-Jentoft, A.J.; Bahat, G.; Bauer, J.; Boirie, Y.; Bruyère, O.; Cederholm, T.; Cooper, C.; Landi, F.; Rolland, Y.; Sayer, A.A.; et al. Sarcopenia: Revised European consensus on definition and diagnosis. Age Ageing 2019, 48, 601. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. CONSORT 2010 flow diagram for the study.
Figure 1. CONSORT 2010 flow diagram for the study.
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Figure 2. Adventitial vasa-vasorum density at baseline in the 3 groups (mean and 95% CI). Control group comprised 20 subjects with normal weight or overweight (BMI 24.2 ± 2.0 kg/m2) matched by sex and age to the participants with moderate obesity.
Figure 2. Adventitial vasa-vasorum density at baseline in the 3 groups (mean and 95% CI). Control group comprised 20 subjects with normal weight or overweight (BMI 24.2 ± 2.0 kg/m2) matched by sex and age to the participants with moderate obesity.
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Figure 3. Plot displaying dynamics of body mass index values at baseline and during the 6-month follow-up period in the study population. Black line: very low calorie ketogenic diet; grey line: Mediterranean diet; M: month.
Figure 3. Plot displaying dynamics of body mass index values at baseline and during the 6-month follow-up period in the study population. Black line: very low calorie ketogenic diet; grey line: Mediterranean diet; M: month.
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Figure 4. Plot displaying dynamics of vasa-vasorum results at baseline and after the 6-month follow-up period in the intervention groups.
Figure 4. Plot displaying dynamics of vasa-vasorum results at baseline and after the 6-month follow-up period in the intervention groups.
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Table 1. Baseline characteristics of the participants in the study according to diet.
Table 1. Baseline characteristics of the participants in the study according to diet.
VLCKD (n = 20)MedDiet (n = 10)p Value
Age (years)40.7 ± 9.639.7 ± 9.00.985
Women, n (%)14 (70.0)8 (80.0)0.834
BMI (kg/m2)38.1 ± 1.637.5 ± 2.50.284
WC (cm)112.4 ± 7.2111.3 ± 10.10.631
TBF (%)42.4 ± 2.942.0 ± 4.10.790
FFM (%)55.0 ± 5.656.1 ± 7.50.572
SBP (mmHg)130.1 ± 15.9134.8 ± 17.30.394
FPG (mmol/L)107.0 ± 38.399.5 ± 14.30.579
HbA1c (%)5.6 ± 1.25.3 ± 0.30.504
Total cholesterol (mg/dL)192.1 ± 32.2179.8 ± 30.50.356
c-LDL (mg/dL)120.9 ± 30.6110.5 ± 23.00.387
c-HDL (mg/dL)47.5 ± 12.746.9 ± 14.60.922
Triglycerides (mg/dL)138.7 ± 68.8144.4 ± 72.40.839
AIP0.5 ± 0.20.7 ± 0.20.667
TyG index8.8 ± 0.49.1 ± 0.30.682
Creatinine (mg/dL)0.67 ± 0.10.67 ± 0.20.964
IWQOL-Lite79.0 ± 27.578.3 ± 35.90.539
Baseline mean VV1.02 ± 0.21.06 ± 0.20.557
Baseline right side VV1.07 ± 0.21.15 ± 0.20.770
Baseline left side VV1.00 ± 0.31.06 ± 0.40.292
sICAM-1 (ng/mL)416.4 ± 110.3385.7 ± 159.30.527
sVCAM-1 (ng/mL)1508.9 ± 201.31576.8 ± 321.40.499
Data are mean ± SD or n (percentage). BMI: body mass index; WC: waist circumference; TBF: total body fat; FFM: fat-free mass; AIP: atherogenic index of plasma; TyG index: triglyceride-glucose index; SBP: systolic blood pressure; FPG: fasting plasma glucose; HbA1c: glycated hemoglobin; c-LDL: low-density lipoproteins cholesterol; c-HDL: high-density lipoproteins cholesterol; IWQOL-Lite: Impact of weight on quality of life-lite; VV: vasa vasorum; sICAM-1: soluble intercellular adhesion molecule 1; sVCAM-1: and soluble vascular cell adhesion molecule 1.
Table 2. Changes in the anthropometric parameters, body composition, and quality of life between baseline and the 6-month follow-up, according to study group, and an analysis of treatment effect.
Table 2. Changes in the anthropometric parameters, body composition, and quality of life between baseline and the 6-month follow-up, according to study group, and an analysis of treatment effect.
Baseline6 MonthsMean Difference
(95% CI)
p Value
BMI (kg/m2) VLCKD38.1 ± 1.632.8 ± 3.4−5.3 (−6.9 to −3.6)<0.001
BMI (kg/m2) MedDiet37.5 ± 2.537.3 ± 5.5−0.1 (−3.8 to 3.5)0.932
ΔBMI (kg/m2)--−5.2 (−2.0 to −8.3)0.003
WC (cm) VLCKD112.4 ± 7.293.4 ± 24.8−19.0 (−36.6 to −1.4)0.037
WC (cm) MedDiet111.3 ± 10.1112.2 ± 10.90.9 (−6.4 to 8.2)0.762
ΔWC (cm)--−19.9 (−41.0 to 1.1)0.061
TBF (%) VLCKD42.4 ± 2.935.4 ± 4.8−7.0 (−10.7 to −3.3)0.003
TBF (%) MedDiet42.0 ± 4.140.7 ± 3.4−1.3 (−3.9 to 1.3)0.242
ΔTBF (%)--−5.7 (−10.4 to 1.0)0.022
FFM (%) VLCKD55.0 ± 5.651.9 ± 10.5−3.1 (−12.0 to 5.8)0.438
FFM (%) MedDiet56.1 ± 7.558.2 ± 13.52.1 (−7.6 to 11.8)0.584
ΔFFM (%)--5.2 (−7.0 to 17.4)0.370
SBP (mmHg) VLCKD130.1 ± 15.9125.7 ± 19.9−4.4 (−14.1 to 5.2)0.304
SBP (mmHg) MedDiet134.8 ± 17.3127.5 ± 21.2−7.2 (−21.5 to 7.1)0.205
ΔSBP (mmHg)--−2.8 (−11.3 to 16.9)0.662
IWQOL-Lite total score VLCKD79.0 ± 27.537.6 ± 4.3−41.4 (−75.2 to −7.6)0.027
IWQOL-Lite total score MedDiet78.3 ± 35.968.5 ± 29.9−9.8 (−29.3 to 9.8)0.210
ΔIWQOL-Lite total score--−31.7 (−66.7 to 3.4)0.041
Data are mean ± SD. VLCKD: very low calorie ketogenic diet; MedDiet: Mediterranean diet; WC: Waist circumference; TBF: total body fat; FFM: fat-free mass; SBP: systolic blood pressure; IWQOL-Lite: Impact of weight on quality of life-lite.
Table 3. Changes in adventitial vasa vasorum density and parameters related to endothelial dysfunction between baseline and the 6-month follow-up, according to treatment group, and an analysis of the treatment effect.
Table 3. Changes in adventitial vasa vasorum density and parameters related to endothelial dysfunction between baseline and the 6-month follow-up, according to treatment group, and an analysis of the treatment effect.
Baseline6 MonthsMean Difference
(95% CI)
p Value
Mean VV VLCKD1.02 ± 0.21.10 ± 0.30.1 (−0.1 to 0.2)0.306
Mean VV MedDiet1.06 ± 0.21.18 ± 0.20.1 (−0.1 to 0.2)0.204
ΔMean VV--0.0 (−0.3 to 0.2)0.963
Right VV VLCKD1.07 ± 0.21.12 ± 0.40.1 (−0.2 to 0.3)0.691
Right VV MedDiet1.15 ± 0.21.34 ± 0.30.2 (−0.2 to 0.5)0.207
ΔRight VV--0.1 (−0.5 to 0.2)0.461
Left VV VLCKD1.00 ± 0.31.01 ± 0.30.1 (0.1 to −0.3)0.259
Left VV MedDiet1.06 ± 0.41.02 ± 0.4−0.1 (−0.4 to 0.3)0.736
ΔLeft VV--0.2 (−0.5 to −0.2)0.359
AIP VLCKD0.1 ± 0.2−0.0 ± 0.20.2 (−0.3 to −0.0)0.029
AIP MedDiet0.7 ± 0.20.5 ± 0.30.2 (−0.4 to 0.7)0.375
ΔAIP--0.0 (−0.4 to 0.5)0.824
TyG index VLCKD8.8 ± 0.48.4 ± 0.50.4 (−0.0 to 0.8)0.060
TyG index MedDiet9.1 ± 0.38.8 ± 0.60.3 (−0.7 to 1.4)0.395
ΔTyG index--0.1 (−0.7 to 0.8)0.886
sICAM-1 (ng/mL) VLCKD389.7 ± 117.9315.3 ± 74.2−74.3 (−108.9 to −36.6)<0.001
sICAM-1 (ng/mL) MedDiet354.8 ± 146.4341.4 ± 111.9−13.3 (−53.9 to 27.1)0.460
ΔsICAM-1 (ng/mL)--−60.9 (−115.0 to −6.8)0.029
sVCAM-1 (ng/mL) VLCKD1457.9 ± 190.71520.0 ± 178.262.1 (−41.2 to 165.5)0.213
sVCAM-1 (ng/mL) MedDiet1651.0 ± 367.61625.0 ± 332.8−26 (−301.6 to 249.6)0.818
ΔsVCAM-1 (ng/mL)--−88.2 (−123.1 to 299.5)0.390
Data are mean ± SD. VV: vasa vasorum; VLCKD: very low calorie ketogenic diet; MedDiet: Mediterranean diet; AIP: Atherogenic index of plasma; TyG index: Triglyceride-glucose index; sICAM-1: soluble intercellular adhesion molecule 1; sVCAM-1: soluble vascular cell adhesion molecule 1.
Table 4. Changes in the newly proposed lipid-based atherogenic scores between baseline and the 6-month follow-up, according to treatment group, together with an analysis of treatment effect.
Table 4. Changes in the newly proposed lipid-based atherogenic scores between baseline and the 6-month follow-up, according to treatment group, together with an analysis of treatment effect.
Baseline6 MonthsMean Difference
(95% CI)
p Value
CRI, VLCKD4.2 ± 1.03.6 ± 0.9−0.6 (−1.5 to 0.3)0.161
CRI, MedDiet4.3 ± 0.44.0 ± 0.7−0.3 (−1.3 to 0.6)0.329
ΔCRI--−0.2 (−1.5 to 1.0)0.437
AI, VLCKD0.4 ± 0.20.2 ± 0.2−0.2 (−0.5 to 0.0)0.073
AI, MedDiet0.7 ± 0.20.5 ± 0.3−0.2 (−0.7 to 0.3)0.375
ΔAI--0.0 (−0.4 to 0.3)0.824
VLDL VLCKD29.3 ± 12.221.5 ± 7.6−7.8 (−14.6 to 0.9)0.028
VLDL MedDiet39.5 ± 12.030.4 ± 18.7−9.1 (−50.7 to 32.0)0.537
ΔVLDL--1.2 (−17.4 to 20.0)0.887
Data are mean ± SD. CRI: coronary risk index; VLCKD: very low calorie ketogenic diet; MedDiet: Mediterranean diet; AI: atherogenic index; VLDL: very low density lipoproteins.
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Sánchez, E.; Santos, M.-D.; Nuñez-Garcia, M.; Bueno, M.; Sajoux, I.; Yeramian, A.; Lecube, A. Randomized Clinical Trial to Evaluate the Morphological Changes in the Adventitial Vasa Vasorum Density and Biological Markers of Endothelial Dysfunction in Subjects with Moderate Obesity Undergoing a Very Low-Calorie Ketogenic Diet. Nutrients 2022, 14, 33. https://doi.org/10.3390/nu14010033

AMA Style

Sánchez E, Santos M-D, Nuñez-Garcia M, Bueno M, Sajoux I, Yeramian A, Lecube A. Randomized Clinical Trial to Evaluate the Morphological Changes in the Adventitial Vasa Vasorum Density and Biological Markers of Endothelial Dysfunction in Subjects with Moderate Obesity Undergoing a Very Low-Calorie Ketogenic Diet. Nutrients. 2022; 14(1):33. https://doi.org/10.3390/nu14010033

Chicago/Turabian Style

Sánchez, Enric, Maria-Dolores Santos, Maitane Nuñez-Garcia, Marta Bueno, Ignacio Sajoux, Andree Yeramian, and Albert Lecube. 2022. "Randomized Clinical Trial to Evaluate the Morphological Changes in the Adventitial Vasa Vasorum Density and Biological Markers of Endothelial Dysfunction in Subjects with Moderate Obesity Undergoing a Very Low-Calorie Ketogenic Diet" Nutrients 14, no. 1: 33. https://doi.org/10.3390/nu14010033

APA Style

Sánchez, E., Santos, M. -D., Nuñez-Garcia, M., Bueno, M., Sajoux, I., Yeramian, A., & Lecube, A. (2022). Randomized Clinical Trial to Evaluate the Morphological Changes in the Adventitial Vasa Vasorum Density and Biological Markers of Endothelial Dysfunction in Subjects with Moderate Obesity Undergoing a Very Low-Calorie Ketogenic Diet. Nutrients, 14(1), 33. https://doi.org/10.3390/nu14010033

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