Skip to main content

Weight loss therapy for clinical management of patients with some atherosclerotic diseases: a randomized clinical trial



The prevalence and burden of atherosclerotic (AS) diseases are increasing during the last twenty years. Some studies show a close relationship between overweight and AS, but influence on AS diseases of different weight loss methods are still studying. The purpose of the research was to study the effectiveness of a weight loss program in AS patients in randomized controlled trial, and to develop a conception of evolution of AS.


A randomized controlled prospective clinical trial including 97 people, from them 71 patients with various AS manifestations. Patients were divided in 2 subgroups for non-drug weight loss program, and conventional drug therapy. The weight loss program included calorie restriction with 100–150 kcal/day, fat-free vegetables, salt diet, and optimum physical activity. Statistical analysis was performed using SPSS for Windows version 17.0.


The weight loss subgroup lost ranging between 7-20 % from an initial weight (P = 0.016). Weight loss was achieved due to fatty mass reduction only (P = 0.005). Hemoglobin levels (P < 0.001), bone mineral density (P < 0.001), percentages of water (P = 0.006) and muscle masses (P = 0.0038) were increased in weight loss subgroup. Ejection fraction (P < 0.0001), systolic output (P < 0.0001) were increased in patients with coronary artery disease. The weight loss program led to a decrease in symptomatic drugs doses up to total abolition. A conception of AS was developed.


The weight loss program treated the AS diseases; improved laboratory and instrumental parameters, decreased symptomatic drugs doses. AS development is a logical way of ontogenetic ageing of body fat.

Trial international registration NCT01700075.

Trial national registration

State registration is # 0109RK000079, code is O.0475 at the National Center for Scientific and Technical Information of the Republic of Kazakhstan.

Peer Review reports


The prevalence and disease burden of Atherosclerosis (AS) are increasing. During the last twenty years morbidity and mortality form AS is globally increasing [1]. AS is a disease affecting the blood vessels, arteries of heart, brain and other internal organs [2]. Atherosclerotic fat, atheroma and lipid deposits develops not only in the inner and medial vascular layers, but also it affects the adventitial layer that could be the cause of vasoconstriction worsening the intravascular lumen [3].

Many "Civilization Diseases" such as metabolic syndrome, coronary artery disease (CAD), hypertension, diabetes mellitus (DM), allergic diseases, non-alcoholic fatty liver disease, psoriasis, gout, etc., have similar metabolic disorders such as hyperlipidemia/dyslipidemia, hyperglycemia, hyperinsulinemia, hypercortisolemia, hyperuricemia, microalbuminuria, which can be signs of AS [4, 5]. In this case, the problem of clinical solution AS and its clinical species are socially significant [6]. Pathogenesis of AS is sophisticated integrative process of interaction of endothelial cells of arterial wall, hormonal and metabolic abnormalities, blood components, telomere length, etc. [7].

However, none of them has been universally recognized and proved in practice up to date [8]. Last studies show intimate relationship between obesity/overweight and AS diseases [9]. Increased caloric intake and obesity are recognized to shorten the lifespan [10]. Recent studies indicate that calorie restriction and intense exercise decrease of cardiovascular disease, metabolic disease, oxidative stress, inflammation [11, 12]. Purpose of the research was to study the results of a weight loss program in AS patients in randomized controlled trial. A secondary aim of the study was to develop a conception of evolution of AS.

Methods and participants

Study design

Open randomized controlled prospective clinical trial with subsequent development of a conception of evolution of AS based on systematic review of scientific databases.


We enrolled a total of 97 adult people of Asian and European ethnicities, from them 71 were patients (34 females) with various clinical manifestation of AS aged 46.5 ± 2.3 years with body mass index (BMI) 29.7 ± 0.8 kg/m2 (patient group), and 26 healthy volunteers (12 females) aged 48.5 ± 3.7 years (healthy control group).

The patient group was divided in two subgroups. The weight loss patient subgroup consisted from 31 patients (16 females, aged 42–82 years, mean 47.5 ± 1.9 years, BMI 30.1 ± 1.4 kg/m2) with various AS diseases were randomly recruited for the weight loss program (19 Asian, Kazakh and 12 European, Russian). The weight loss patient subgroup included next types of AS diseases: Leriche disease (atherosclerosis of the coxofemoral artery) in 4 patients, CAD with family history more than 10 years was present in 12 patients, CAD with postinfarction cardiosclerosis (PICS) in 6 patients, cerebral stroke in 7 patients, and Alzheimer's disease in 2 patients. All the 31 patients had hypertension, from them 19 patients had DM and the rest 12 patients had an impaired glucose tolerance. All enrolled AS patients had abdominal obesity and before weight loss they took a conventional drug therapy.

The second subgroup for comparison included 40 patients with AS (18 females, aged 26–70 years, mean 45.7 ± 2.2 years, BMI 29.3 ± 1.4 kg/m2) who were receiving a conventional drug therapy including hypoglycemic (metformin 500–1500 mg per day, exenatide 5–10 μg per day), lipid lowering (atorvastatin 40 mg per day), antihypertensive (lisinopril 20 mg per day, calcium channel blockers referring to benzodiazepines 90 mg per day), anti-inflammatory (acetylsalicylate acid up to 2 g per day and/or thienopyridine class antiplatelet agent 75 mg per day), and symptomatic therapy.

The study was carried out between October 2009 and April 2012 at Scientific research institute of cardiology and internal diseases (Almaty, the Republic of Kazakhstan) and at Republic scientific center for emergency medicine at National medical holding (Astana, the Republic of Kazakhstan).

Inclusion criteria: written informed consent form for participation in the study; dyslipidemia (blood serum high-density lipoprotein < 1.0 mmol/l, or triglycerides ≥ 1.7 mmol/l or cholesterol ≥ 5.6 mmol/l or both); body fat% > 21; waist circumference in male > 94.0 cm or in female > 80.0 cm; blood pressure (BP) > 140 mmHg of systolic blood pressure (SBP) and > 95 mmHg of diastolic blood pressure (DBP), or ongoing treatment with antihypertensive drugs, fasting glucose > 6.1 mmol/l or treatment with glucose-reducing drugs; absence of contraindications to weight loss; the possibility of treatment for 6 months and dynamic observation for 1 year.

Outcome measures

The primary efficacy endpoint of the study was the complete recovery from AS diseases. The secondary efficacy endpoint of the study was data imaging methods (doppler-ultrasound, computed tomography scans) and measurement of clinical status presence.


An independent statistician unconnected with clinical practice used computer generated random numbers (SPSS for Windows version 17.0: An IBM Company, Armunk, NY) to prepare randomization lists. The block randomization was two (one on conventional drug therapy, another on weight loss therapy) with stratification by sex, age (47.5 ± 1.9 and 45.7 ± 2.2; P = 0.199) and baseline BMI (30.1 ± 1.4 and 29.3 ± 1.4; P = 0.34).


We diagnosed CAD and PICS in patient according to their case history and electrocardiographic changes of ischemia. We diagnosed hypertension by blood pressure readings and from medical records. Abdominal obesity was assessed waist circumference using the standards for the Asian nationality by the International Diabetes Federation (2005). The weight loss intervention study period was between 2–6 months duration depending on individual patient clinical situation, severity and stages of disease. Physical activity was assessed as the number of steps taken by patients, as determined by the individual pedometer from Hoffmann-La Roche, Ltd (Basel, Switzerland). Mental status was defined by the test of numbers binding by Reitano [13].

We defined anthropometrical indicators including age (years), weight (kg), BMI (kg/m2). We also evaluated body composition parameters including as fat mass (in % of total body weight and total kg), visceral fat rating (units), fat free mass (kg), total body water (in % and kg), muscle mass (in % and kg), bone mass (in % and kg), metabolic age (years), basal metabolic rate (kcal per day), and bioimpedance (Ohms) by using Tanita-SC330S Body Composition Analyzer (Tanita Corp., Tokyo, Japan). General clinical study of blood and urine chemistry, liver and kidneys function tests, and imaging methods (GE Vivid 7 Ultrasound; GE Healthcare Worldwide USA, Michigan), bone densitometry (Lunar Achilles Express Ultrasound; GE Healthcare USA, Madison), and computed tomography scans (AG Siemens Somatom Emotion 6, Germany, Muenchen) were performed.

For weight loss we used the weight loss program based on calorie restriction, fat-free vegetables, salt diet (5–6 gr a day), and optimum physical activity [14, 15]. The caloric restriction included 100–150 kcal per day. There was demanded walking with no less of 10,000 steps per day. The exercise model is used for increase of blood circulation and decrease of endogen metabolic intoxication. Doses of previous symptomatic conventional drugs have been competently decreased by the 2–3 day after the treatment start, and came up to full abolition by the 7–10 day as soon as clinical symptoms were improved. A combination of in-person conversations and telephone calls were conducted during the 6-month study period. Weight loss results were assessed by BMI and the Body Composition Analyzer.


Ethical Committee of the Scientific research institute of cardiology and internal diseases (Phone: +7-727-2796751, +7-727-2676851. Email:, approved the study. Approval Number is in the protocol #9 from 06.02.2009. Board Affiliation: Health Ministry of the Republic of Kazakhstan.


The two-sample Student’s t-test and Odds ratios (ORs) with 95 % Confidence intervals (CIs) were used. The study data were tested on the normal distribution. The study data are presented in Tables as Mean ± Standard Error of the Mean (M ± SE). The correlation analysis (r) and multinomial logistic regression model ORs with CIs were used. P-values of < 0.05 was set as significant. Statistical analysis was performed using SPSS for Windows version 17.0 (SPSS: An IBM Company, Armunk, NY) and Microsoft Excel-2013. Databases of WEB OF SCIENCE, SCOPUS, PUDMED, MEDSCAPE, GOOGLE SCOLAR were used for systematic review analysis of scientific data for working out of development conception of AS.


We compared the patients and control (healthy) groups concerning metabolic age, basal metabolic rate, anthropometrical data, and body composition (Table 1).

Table 1 Anthropometrical data, metabolic data, body composition in the comparing groups

As seen in Table 1, there were no significant differences between the patient group and the control group regarding passport age and height. The patient group had a significantly higher BMI for ≈ 3.5 kg/m2 compared with the control group. Fat mass was a significantly higher in the patient group compared with the control group for ≈ 12.1 % or ≈ 10.0 kg. Table 1 clearly makes the inverse relationship between Fat mass percentage and Muscle mass percentage: the greater Fat mass percentage the lower Muscle mass percentage (r = − 066; P = 0.0023).

The healthy group displayed significantly greater percentages of Total body water +8 % (P = 0.0004), Muscle mass +11.5 % (P < 0.0001), and bone mass +0.3 % (P = 0.04) than the patient group. The regression linear analysis strongly inverse correlated the relationships between fat mass and muscle/water/bone masses in the patient group (n = 71) (Fig. 1).

Fig. 1
figure 1

The regression correlation between fat mass (in %) and muscle mass (in %), total body water (in %), and bone mass (in %) in the patient group (n = 71). In a) x = fat mass (in %), y1 = muscle mass (in %), y2 = total body water (in %); in b) x = fat mass (in %), y = bone mass (in %)

The patient group also have significantly raised visceral fat rating (t = 3.6; P = 0.0003), metabolic age (t = 2.1; P = 0.018), basal metabolic rate (t = 3.4; P = 0.0004), and bioimpedance (t = 2.5; P = 0.0067) than the control group have. Increased body fat mass is associated with accordingly increased bioimpedance of the body.

As seen in Fig. 1, there are significant inverse regression correlations between Fat mass in percent and Muscle, Total body water, Bone masses in percent (Р < 0.0001). This data analysis can provide evidence that Fat mass could be the main risk factor for AS patients.

We studied the regression correlation between the level of obesity (fat mass in % and visceral fat level in units) and the metabolic age in the patient group (n = 71) (Fig. 2). As seen here, the increased parameters of obesity (fat mass in %, and visceral fat level in units) significantly correlates with the increased metabolic age (Р < 0.0001).

Fig. 2
figure 2

Correlation between metabolic age and fat mass, and visceral fat level in the patient group (n = 71). In a) x = fat mass (in %), y = metabolic age (years); in b) x = visceral fat level (units), y = metabolic age (years)

We began the weight loss program in the patient group (n = 31) who were randomly assigned into this category. As a result of the treatment average weight lost varied from 6 to 18 kg (or 7-20 %). No differences in weight loss were found between patients with Asian and European ethnicities. The weight loss led to positive changes of the cardiovascular diseases symptoms: SBP and DBP decreased in 94.4 % of patients (P < 0.001) for more than 19 % from the initial status (Table 2).

Table 2 Blood pressure/hemoglobin/glucose and Lipids profile, and Bone mineral density before/after treatment in the comparative groups

Table 2 shows that in the conventional drug therapy subgroup such parameters as SBP, glucose, cholesterol and triglyceride serum levels were improved significantly (P < 0.001). However, the conventional treatment in AS patients did not lead to significant improvement in DBP (P = 0.29), Blood hemoglobin levels (P = 0.28), and Bone mineral density (P = 0.4). Noteworthy, in the weight loss subgroup we observed more significant declines in SBP, DBP, glucose, cholesterol, and triglyceride levels (P < 0.001). There were a significant increase in Hemoglobin levels (P < 0.001) and Bone mineral density (P < 0.001).

The weight loss program led to weight loss ranging between 7-20 % from an initial weight (P = 0.016). Importantly, all of the 31 patients weight lost due to reduction of fat mass only (before 26.7 ± 2.9 kg, and after 15.7 ± 2.9 kg, P = 0.005; Table 3).

Table 3 Parameters in the weight loss patient group before and after treatment (n = 31)

The data shown in the Table 3 proves that the weight loss in AS patients was due to significant fat loss (P = 0.005). The percentages of total body water and muscle masses had also significant tendency to increase in the study endpoint (P = 0.006 and = 0.0038, respectively). Lean body mass did not significantly change with fat mass loss (P = 0.36).

During the first 2–3 days of the treatment the most of the patients complained of an intense feeling of hunger, slight dizziness, weakness, lower extremity and abdominal muscle tremor, a feeling of warm in the umbilical and/or solar plexus area, and psychogenic fear due to changed eating behavior. All of these uncomfortable feelings were disappearing on subsequent days.

On the 3–5 day after start of the weight loss program the urine of the patients was getting more turbid, muddy and intensively colored (dark) which were not marked before. The urine symptoms were persisted for several days. Microscopy of the urine revealed the turbidity and muddiness were due to the organic salts mainly, such as oxalates, urates, phosphates, and carbonates of calcium and magnesium. An increase in erythrocyte sedimentation rate, leukocyte count in blood samples, and body temperature were observed between 4–10 days after start of the weight loss program.

Regression of AS symptoms were also gradually observed in the weight loss patient subgroup. The patients noticed a physical relief, and an increase in physical and mental workability. Doppler-ultrasound imaging data revealed that blood flow in the lower extremities was restored and the affected gastrocnemius muscle sizes were also restored in all of the 4 patients with the Leriche disease. In CAD patients including with PICS disappeared the angina pectoris (1.52, 95 % CI: 1.24–1.81; P = 0.034), improved an exercise tolerance, improved objective electrocardiography indicators of cardiovascular function, increased in ejection fraction from 56.3 ± 1.1 % to 72.1 ± 1.3 % (P < 0.0001), and increased in systolic output from 65.4 ± 1.8 ml to 89.6 ± 1.7 ml (P < 0.0001). All patients with cerebral stroke and with Alzheimer's disease noticed a decrease in mental fatigue and improvement of memory (1.47, 95 % CI: 1.18–1.77; P = 0.039).

As clinical symptoms were improved, as the doses of previous symptomatic drugs were adequately decreased by the 2–3 day after the treatment started. By the 7–10 day after the beginning of the treatment the drugs were abolished. The observational period for the patients was up to 1 year, and there was no recurrence of clinical symptoms of the AS diseases. The weight usually was not regained during the time period. If a person regained overweight again, the clinical symptoms of AS diseases have been gradually manifesting. However, these clinical symptoms were reversed if the weight has been lost again.


Obesity/Overweight is a global public health problem. Overweight is widely acknowledged to be a risk factor for a wide spectrum of cardiovascular, metabolic, neoplastic and musculoskeletal disorders and is estimated to reduce life expectancy by as much as 10 years [16]. The impact of overweight on the risk of AS diseases occurrence evidenced in many of the last cohort studies [17].

One of the first theories of AS development was gerontological, and many researchers consider AS of vessels as one of the determining factors of the ageing process [10, 11]. The "oxidative stress" theory where free radicals can affect intro intima media of arteries could become the cause of one or other undesirable changes in the intima [11, 18]. The inflammatory theory of AS has also place to be that inflammatory process can be cause of lesions of vessel intima [17, 18].

Hyperinsulinemia [19], dyslipidemia, insulin resistance are the way to damage of vascular structures, endothelial function, glucose metabolism with development of AS processes [20, 21]. Intake of excess fats and carbohydrates leads to the overloading of blood transport system. Postprandial hyperlipidemia and long-term storage of fat leads to AS diseases [22, 23]. The hyperlipidemia usually develops after each food intake and lasts for 6 h or more [24, 25]. The body has a limit for storing of fat. If the store is in “overstock” stage, then further hyperlipidemia leads to lipid intolerance.

Bays H. calls the unused adipose tissue as Adiposopathy or "sick fat" which contributes to the emergence of general metabolic disorders and CVD accidents [26]. Adiposopathy can be the main cause of the most cases of adiposity-related metabolic diseases.

Due to “super-nutrient” meal regime a contemporary human begins to accumulate more fat than he is able to use it [27]. Permanent overnutrition changes a balance towards lipid accumulation and deposition. The unused lipids can transform to the body.

The more overweight the more metabolic burden for the body’s organs and systems is [28, 29]. Overweight causes the biological load on the body, and it requires additional thermoregulation, synthetic, trophic, immunological, antitoxic functions, excretion of metabolic products from the tissue [30]. The overweight increases the metabolic burden for the body [31, 32].

Our weight loss program is directed to metabolize of “old lipids” [14, 15]. Weight loss led to significant improvements of cardiovascular symptoms, objective electrocardiography indicators, ejection fraction, systolic output, exercise tolerance and memory, decrease in mental fatigue, etc. Our results are similar to other studies [11, 12]. The weight loss affected fatty mass only whereas lean mass was not significantly changed. One of the problem during weight loss is endogen metabolic intoxication [33]. The exercise model was important part of the weight loss program for cure of endogen metabolic intoxication. During the first few days of the weight loss treatment patients noticed adverse effects related to the symptoms of endogen metabolic intoxication [33]. Strategies related to exercise training improvement the endothelial nitric oxide and prostaglandins pathways [34].

Gender and race can influence for intention to lose weight [35], but our study does not find any differences in weight loss dynamic between Asian (Kazakh) and European (Russian) ethnic groups.

In last decade the importance role of adipose tissue in storing of organic pollutants was considered and highlighted [36]. Adipose tissue can absorb different persistent organic pollutants [37, 38]. Therefore, during weight loss therapy an excretion of organic pollutants from adipose tissue in blood should observe. Consequently, we have developed a method to control an endogen metabolic intoxication during weight loss program.

Hypertension, hyperthermia, insulin resistance, inflammation, allergy can be directed on the maintenance of metabolic rate in the body of patients with overweight/ obesity [39, 40]. Perhaps, the process of atherosclerotic development is a logical output of ontogenetic transformation of lipids [41].

Ability to accumulate of adipose tissue is one of the most important adaptive mechanism for survive. However, nowadays, we are eyewitnesses of another side of the survival mechanism when obesity-related diseases increase steadily [42]. "Since people learned to cook food, they getting hungry twice than nature requires" (B.Franklin, 1706–1790).

As represented in the Fig. 3 the schematic conception of evolution of AS is related to the ontogenetic ageing of the body fat. The main chain of the suggested conception is: Overnutrition = > Overweight = > Limit of deposition = > Compensatory hyperinsulinemia = > Endogen metabolic intoxication = > Activation of protective mechanisms = > Sealing fat and Ageing fat = > AS processes. Adipose tissue in patients with overweight absorbs of organic metabolic pollutants. Compensatory hyperinsulinemia leads to metabolic abnormality (impaired glucose and fat tolerances, dyslipidemia, etc.). Metabolites overload of the blood transport system and lead to endogen metabolic intoxication. Activation of protective mechanisms (hypertension, hyperthermia, inflammation, allergic, etc.) against of further deposition of fat is images of chronic AS diseases. Long term storing fat in the body leads to ageing of the fat.

Fig. 3
figure 3

The conception of ontogenetic evolution of Atherosclerosis because of ageing of body fat. Abbreviations: DM, diabetes mellitus; HI, hyperinsulinemia; IFT, Impaired fat tolerance; IGT, Impaired glucose tolerance; IR, insulin resistance

Study limitation

Published studies about possible role of overweight in cause of AS are limited in scope and number. We acknowledge that the randomized clinical trial had a small sample size, and data of comparative or control groups are not completely shown. The clinical results were validated by our usual scientific methods. We should perform the prospective randomized controlled clinical trial with a numbers of patients for more statistical power.


Thus, the more fat mass is in the body the less muscle, bone, and water masses are. Increased fat mass leads to the increase of bioimpedance and metabolic age. We have developed the weight loss program including a caloric restriction, fat-free vegetables and salt diet with optimum physical activity is effectual treatment method of the AS diseases. The physical activity model was important part for cure of endogen metabolic intoxication of the weight loss program. The program leads to positive change of disease symptoms, improvement in laboratory and instrumental parameters, and competent reduction of previous symptomatic drugs doses up to total abolition. The main conclusion of the study is AS development is a logical output of ontogenetic ageing of body fat. The “ageing lipids” could be used during the weight loss program. The conception of evolution of AS is developed.





Body mass index


Coronary artery disease


Confidence intervals


Diastolic blood pressure


Diabetes mellitus


Odds ratios


Postinfarction cardiosclerosis


Systolic blood pressure


Standard error of the mean


  1. Nordestgaard BG, Chapman MJ, Humphries SE, Ginsberg HN, Masana L, Descamps OS, et al. European Atherosclerosis Society Consensus Panel. Familial hypercholesterolaemia is underdiagnosed and undertreated in the general population: guidance for clinicians to prevent coronary heart disease: consensus statement of the European Atherosclerosis Society. Eur Heart J. 2013;34:3478–90.

    Article  CAS  Google Scholar 

  2. Gouveia A, Sargento-Freitas J, Penetra J, Silva F, Machado C, Cordeiro G, et al. Recurrence in intracranial atherosclerotic disease: a stenosis-based analysis. J Stroke Cerebrovasc Dis. 2014;23:2080–4.

    Article  Google Scholar 

  3. Sun Z. Atherosclerosis and atheroma plaque rupture: normal anatomy of vasa vasorum and their role associated with atherosclerosis. Sci World J. 2014;285058.

  4. Almeida AL, Teixido-Tura G, Choi EY, Opdahl A, Fernandes VR, Wu CO, et al. Metabolic syndrome, strain, and reduced myocardial function: multi-ethnic study of atherosclerosis. Arq Bras Cardiol. 2014;102:327–35.

    Google Scholar 

  5. Zhong J, Chen J, Zhao ZG, He HB, Yan ZC, Liu DY, et al. Diabetes mellitus is associated with early chronic venous disorder of the lower extremities in Chinese patients with cardiometabolic risk factors. Diabetes Metab Res Rev. 2014;30:505–12.

    Article  CAS  Google Scholar 

  6. The Emerging Risk Factors Collaboration, Di Angelantonio E, Sarwar N, Perry P, Kaptoge S, Ray KK, et al. Major lipids, apolipoproteins, and risk of vascular disease. JAMA. 2009;302:1993–2000.

    Article  Google Scholar 

  7. Yudkin JS, Kumari M, Humphries SE, Mohamed-Ali V. Inflammation, obesity, stress and coronary heart disease: is interleukin-6 the link? Atherosclerosis. 2000;148:209–14.

    Article  CAS  Google Scholar 

  8. Bjorge T, Engeland A, Tverdal A, Smith GD. Body mass index in adolescence in relation to cause-specific mortality: a follow-up of 230,000 Norwegian adolescents. Am J Epidemiol. 2008;168:30–7.

    Article  Google Scholar 

  9. Mao X, Ait-Aissa K, Lagrange J, Youcef G, Louis H. Hypertension, hypercoagulability and the metabolic syndrome: A cluster of risk factors for cardiovascular disease. Biomed Mater Eng. 2012;22:35–48.

    Google Scholar 

  10. Khan S, Chuturgoon AA, Naidoo DP. Telomeres and atherosclerosis. Cardiovasc J Afr. 2012;23:563–71.

    Article  CAS  Google Scholar 

  11. Meydani M, Das S, Band M, Epstein S, Roberts S. The effect of caloric restriction and glycemic load on measures of oxidative stress and antioxidants in human results from the CALERIE Trial of Human Caloric Restriction. J Nutr Health Aging. 2011;15(6):456–60.

    Article  CAS  Google Scholar 

  12. Ahmadi N, Eshaghian S, Huizenga R, Sosnin K, Ebrahimi R, Siegel R. Effects of intense exercise and moderate caloric restriction on cardiovascular risk factors and inflammation. Am J Med. 2011;124:978–82.

    Article  Google Scholar 

  13. Reitano R, Urso G, Barbagallo F, Giustolisi V. Cerebral hypoxia as a pathogenetic component in the acute exacerbation of hepatic cirrhosis encephalopathy. Recenti Prog Med. 1985;76:424.

    CAS  Google Scholar 

  14. Ошакбаев К.П. Клинический менеджмент метаболического синдрома. Практическое руководство. Под редакцией профессора Ж. Абылайулы. Алматы: Зият Пресс; 2007: 326с. (the book was published in Russian).

  15. Ошакбаев КП, Изатуллаев ЕА, Боборыкин ВМ. Способ немедикаментозного лечения атеросклероза. Евразийский Патент на изобретение № 020034 от 29.08.2014. Заявка №201000276 от 01.03.2010. (the invention was published in Russian).

  16. Whitlock G, Lewington S, Sherliker P, Clarke R, Emberson J, Halsey J, et al. Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies. Prospective Studies Collaboration. Lancet. 2009;373:1083–96.

    Article  Google Scholar 

  17. Jellinger PS, Smith DA, Mehta AE, Ganda O, Handelsman Y, Rodbard HW, et al. American Association of Clinical Endocrinologists' Guidelines for Management of Dyslipidemia and Prevention of Atherosclerosis. Endocr Pract. 2012;18:1–78.

    Article  Google Scholar 

  18. Alexopoulos N, Katritsis D, Raggi P. Visceral adipose tissue as a source of inflammation and promoter of atherosclerosis. Atherosclerosis. 2014;233:104–12.

    Article  CAS  Google Scholar 

  19. Cao JJ, Arnold AM, Manolio TA, Polak JF, Psaty BM, Hirsch CH, et al. Association of carotid artery intima-media thickness, plaques, and C-reactive protein with future cardiovascular disease and all-cause mortality: the Cardiovascular Health Study. Circulation. 2007;116:32–8.

    Article  Google Scholar 

  20. Mihalcea C, Pandele GI. Correlation between atherosclerosis - coronary disease and insulin resistance, regarded as the basis of metabolic syndrome. Rev Med Chir Soc Med Nat Iasi. 2010;114:59–68.

    Google Scholar 

  21. Ma Y, Wang W, Zhang J, Lu Y, Wu W, Yan H, et al. Hyperlipidemia and atherosclerotic lesion development in Ldlr-deficient mice on a long-term high-fat diet. PLoS One. 2012;7, e35835.

    Article  CAS  Google Scholar 

  22. Bal SS, Khurana D, Sharma A, Lal V, Bhansali A, Prabhakar S. Association of metabolic syndrome with carotid atherosclerosis in the young North Indian population. Diab Met Syndr. 2011;5:153–7.

    Article  Google Scholar 

  23. Borén J, Matikainen N, Adiels M, Taskinen MR. Postprandial hypertriglyceridemia as a coronary risk factor. Clin Chim Acta. 2014;431:131–42.

    Article  Google Scholar 

  24. Cruz-Teno C, Perez-Martinez P, Delgado-Lista J, Yubero-Serrano EM, Garcia-Rios A, Marin C, et al. Dietary fat modifies the postprandial inflammatory state in subjects with metabolic syndrome: the LIPGENE study. Mol Nutr Food Res. 2012;56:854–65.

    Article  CAS  Google Scholar 

  25. Meneses ME, Camargo A, Perez-Martinez P, Delgado-Lista J, Cruz-Teno C, Jimenez-Gomez Y, et al. Postprandial inflammatory response in adipose tissue of patients with metabolic syndrome after the intake of different dietary models. Mol Nutr Food Res. 2011;55:1759–70.

    Article  CAS  Google Scholar 

  26. Bays H. Adiposopathy, "sick fat," Ockham's razor, and resolution of the obesity paradox. Curr Atheroscler Rep. 2014;16:409.

    Article  Google Scholar 

  27. Bays H. Central obesity as a clinical marker of adiposopathy; increased visceral adiposity as a surrogate marker for global fat dysfunction. Curr Opin Endocrinol Diabetes Obes. 2014;16:409.

    Google Scholar 

  28. Bradshaw PT, Monda KL, Stevens J. Metabolic syndrome in healthy obese, overweight and normal weight individuals: the atherosclerosis risk in communities study. Obesity(Silv Spr). 2013;21:203–9.

    Google Scholar 

  29. Lewis GF. Devastating metabolic consequences of a life of plenty: focus on the dyslipidemia of overnutrition. Clin Invest Med. 2013;36:E242–7. Review.

    CAS  Google Scholar 

  30. Bluher M. Adipose tissue dysfunction in obesity. Exp Clin Endocr Diabetes. 2009;117:241–50.

    Article  CAS  Google Scholar 

  31. Boren J, Taskinen MR, Olofsson SO, Levin M. Ectopic lipid storage and insulin resistance: a harmful relationship. J Intern Med. 2013;274:25–40.

    Article  CAS  Google Scholar 

  32. Oshakbayev KP, Alibek K, Ponomarev IO, Uderbayev NN, Dukenbayeva BA, Gazaliyeva M. Body fats accumulate metabolic products: physical and chemical analysis in vitro. Am J Med Biol Res. 2014;2:5–11.

    Article  Google Scholar 

  33. Oshakbayev KP, Dukenbayeva BA, Idrisov AS, Oshakbayev P. Endogen metabolic intoxication at Weight loss therapy in patients with metabolic syndrome. Diabet Med. 2013;30:257.

    Google Scholar 

  34. Bruder-Nascimento T, Silva ST, Boer PA, Cordellini S. Effects of exercise training on stress-induced vascular reactivity alterations: role of nitric oxide and prostanoids. Braz J Phys Ther. 2015;19(3):177–85.

    Article  Google Scholar 

  35. Assari S, Lankarani MM. The Association between Obesity and Weight Loss Intention Weaker among Blacks and Men than Whites and Women. J Racial Ethnic Health Dispar. 2015;2(2):414–20.

    Article  Google Scholar 

  36. Pestana D, Faria G, Sa C, Fernandes VC, Teixeira D, Norberto S, et al. Persistent organic pollutant levels in human visceral and subcutaneous adipose tissue in obese individuals-depot differences and dysmetabolism implications. Environ Res. 2014;133:170–7.

    Article  CAS  Google Scholar 

  37. La Merrill M, Emond C, Kim MJ, Antignac JP, Le Bizec B, Clement K, et al. Toxicological function of adipose tissue: focus on persistent organic pollutants. Environ Health Perspect. 2013;121:162–9.

    Google Scholar 

  38. Dirinck EL, Dirtu AC, Govindan M, Covaci A, Van Gaal LF, Jorens PG. Exposure to persistent organic pollutants: relationship with abnormal glucose metabolism and visceral adiposity. Diabetes Care. 2014;37:1951–8.

    Article  CAS  Google Scholar 

  39. Saltiel AR. Insulin resistance in the defense against obesity. Cell Metab. 2012;15(6):798–804.

    Article  CAS  Google Scholar 

  40. Sarzani R, Bordicchia M, Spannella F, Dessì-Fulgheri P, Fedecostante M. Hypertensive heart disease and obesity: a complex interaction between hemodynamic and not hemodynamic factors. High Blood Press Cardiovasc Prev. 2014;21:81–7.

    Article  CAS  Google Scholar 

  41. Ошакбаев К.П. Роль избыточной массы тела в развитии атеросклероза. Алматы: Казах университет; 2010: 343с. (the book was published in Russian).

  42. Neeland IJ, Ayers CR, Rohatgi AK, Turer AT, Berry JD, Das SR, et al. Associations of visceral and abdominal subcutaneous adipose tissue with markers of cardiac and metabolic risk in obese adults. Obesity (Silver Spring). 2013;21:E439–47.

    CAS  Google Scholar 

Download references


We are grateful to scientific staff of "Institute of Chemical Sciences named A. Bekturov" PhD, DSc, Espenbetov AA; PhD, DSc Kurmankulov NB; and PhD Daurenbekov KN. We are also grateful to staff of Almaty Center of Forensic Medicine, director Erezhepov NM; experts Ismailov N and Abdraimov M. Special thanks Abdul Sabir, MD, and Dana Oshakbayeva for language and logistic support and for technical assistance.


Foundation Grant "Fund of the First President of the Republic of Kazakhstan" for 2009–2010, Grant # 69–09 from 23.06.2009, and Order # 28 from 06.05.2009.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Kuat Oshakbayev.

Additional information

Competing interests

Conflicts of interest were not declared by any author. Physicians using pharmacological treatment in their medical practice can be against of the study results. Pharmaceutical companies also could have conflict interests with the study results. Therefore, we ask of editor (−s) of the journal to look for reviewers for our study who do not use pharmacological therapy in treatment of atherosclerotic diseases.

Authors’ contributions

Kuat Oshakbayev: writing the paper, design and performance, scientific executor, collection of the clinical material, treatment and diagnosis of the patients, invention patent fulfillment, bibliography review, scientific analysis, statistical advancing.

Bibazhar Dukenbayeva: writing the paper, design and performance, scientific executor, invention patent fulfillment, paper review.

Gulnar Togizbayeva and Nurzhan Otarbayev: design and performance, scientific executor, treatment and diagnosis of the patients, invention patent fulfillment, scientific analysis, review.

Meruyert Gazaliyeva: preparation e-version statistical data in Excel, collection of the clinical material, references search and review, scientific analysis, statistical advancing, writing the methods.

Nariman Tabynbayev: study design, scientific analysis, manuscript review, scientific analysis, writing the methods.

Alisher Idrisov: collect of the clinical material, preparation e-version statistical data in Excel, diagnosis of the patients, invention patent fulfillment, bibliography search and review, paper print.

Pernekul Oshakbayev: design, bibliography search and review, scientific analysis, writing the methods.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Oshakbayev, K., Dukenbayeva, B., Otarbayev, N. et al. Weight loss therapy for clinical management of patients with some atherosclerotic diseases: a randomized clinical trial. Nutr J 14, 120 (2015).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Atherosclerosis
  • Overweight
  • Weight loss
  • Endogen metabolic intoxication
  • Ageing