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Effect of L-carnitine supplementation on lipid accumulation product and cardiovascular indices in women with overweight/obesity who have knee osteoarthritis: a randomized controlled trial

BMC Rheumatology volume 6, Article number: 53 (2022) Cite this article

Abstract

Background

Osteoarthritis is associated with obesity, dyslipidemia and cardiovascular diseases. It has been hypothesized that L-carnitine can improve cardiovascular risk factors. We aimed to investigate the effect of L-carnitine supplementation on lipid accumulation product (LAP) and atherogenic indices in women with overweight/obesity who have knee osteoarthritis.

Methods

In this double-blind randomized controlled trial, seventy-six women with overweight/obesity who had knee osteoarthritis were assigned into the intervention group and control group for 12 weeks. The intervention group received 1000 mg/day L-carnitine as capsule, and the control group received placebo. The primary outcomes were LAP, atherogenic index of plasma (AIP), atherogenic coefficient (AC) and Castelli risk index II (CRI-II).

Results

We found no significant difference between the groups in baseline values of LAP, AIP, AC and CRI-II. After the intervention, a significant reduction in LAP was observed in intervention group compared to the control group (− 11.05 (− 28.24 to 0.40) vs. − 5.82 (− 24.44 to 2.68); P = 0.03). However, there was no significant difference between two groups in AIP (− 0.05 ± 0.16 vs. − 0.01 ± 0.13; P = 0.19), AC (− 0.40 ± 0.81 vs. − 0.30 ± 0.67; P = 0.67) and CRI-II (− 0.20 ± 0.76 vs. − 0.21 ± 0.47; P = 0.11).

Conclusions

L-carnitine supplementation for 12 weeks can improve LAP, but it has no effect on cardiovascular outcomes. To reach a definitive conclusion, further clinical trials with larger sample sizes and higher dosages of L-carnitine are needed.

Trial registration

Registered on 27/4/2017 at Iranian Registry of Clinical Trials IRCT2017011932026N2.

Peer Review reports

Background

The prevalence of osteoarthritis is increasing and has become a serious healthcare problem [1, 2]. Patients with osteoarthritis are suffering from pain, stiffness, deformity, and loss of functional capacity [1, 3, 4]. Knee osteoarthritis is a chronic musculoskeletal disease [3, 5]. Obesity, gender (female), advanced age and genetic contributed to the development of knee osteoarthritis [2,3,4,5]. Oxidative stress, obesity and dyslipidemia are involved in the pathogenesis of osteoarthritis [6,7,8]. On the other hand, the prevalence of cardiovascular disease (CVD) risk factors such as dyslipidemia, obesity and hypertension is higher in individuals with osteoarthritis compared to the subjects without osteoarthritis [9]. Atherogenic indices such as atherogenic index of plasma (AIP), atherogenic coefficient (AC) and Castelli risk index II (CRI-II) are used to estimate the cardiovascular [10, 11]. The equations of these indices are based on lipid profile [11]. It has been suggested that atherogenic indices can predict cardiovascular risk better than low density lipoprotein-cholesterol (LDL-c), triglyceride (TG) or total cholesterol (TC) alone [10, 11]. In addition, lipid accumulation product (LAP) as a novel and available index can predict visceral obesity and cardiometabolic risk [12,13,14,15]. The LAP is based on TG and waist circumference (WC) [13].

L-carnitine (4-N-trimethylammonium-3-hydroxybutyric acid) is synthesized from amino acids lysine and methionine [16]. L-carnitine regulates the metabolism of fatty acids as well as ATP synthesis [16,17,18]. The dietary sources of L-carnitine are meat, fishes and dairy products [16, 17]. Some studies investigated the effect of L-carnitine in obesity, insulin resistance and oxidative stress [19,20,21,22,23]. The recent evidence suggested the beneficial effects of L-carnitine on risk factors of knee osteoarthritis such as obesity and dyslipidemia [20, 21, 23,24,25]. The studies that evaluated the effect of L-carnitine in patients with osteoarthritis are scarce [19, 26, 27]. In addition, only one study examined the effect of L-carnitine supplementation on LAP and atherogenic indices in women with polycystic ovary syndrome (PCOS) [28]. Therefore, we designed a clinical trial to investigate the effect of L-carnitine supplementation on LAP and cardiovascular indices in women with overweight/obesity who have knee osteoarthritis.

Methods

Recruitment and eligibility screening

A total of one hundred women with knee osteoarthritis were screened at the Khatam Al-Anbia clinic of Rheumatology Department affiliated with Shahid Sadoughi University of Medical Sciences, Yazd, Iran. The inclusion criteria were as follows: subjects with knee osteoarthritis based on clinical criteria, aged more than 45 years, and body mass index (BMI) between 25–35 kg/m2. The exclusion criteria were as follows: former or planned knee-joint replacement, other rheumatic diseases, severe liver or kidney diseases, thyroid diseases, severe heart diseases, pregnancy, taking pharmacological treatments for obesity, lipid lowering medications and nonsteroidal anti-inflammatory drug (NSAID), taking multivitamin, minerals, or other nutritional supplements. Unwillingness to continue the trial, and poor compliance (consuming L-carnitine and placebo less than 80% of the expected amount) were considered as drop-out criteria.

Trial design

We conducted a 12-week double-blind randomized controlled trial (RCT) from September 2018 to December 2018. The study protocol was confirmed by the ethical committee of Shahid Sadoughi University of Medical Sciences and Health Services in Yazd, Iran (IR.SSU.SPH.REC.1395.45). In addition, the protocol was registered at the Iranian clinical trials website on 27/4/2017 (IRCT2017011932026N2) with URL: https://www.irct.ir/trial/25050. A trained person assigned the subjects into the intervention and control groups through simple randomization using random number table (random allocation software) [29]. Allocation concealment was conducted using opaque sealed envelopes to prevent selection bias by concealing the allocation sequence from those assigning participants to the intervention groups. Subjects and investigators were blinded to the intervention assignment.

Intervention

The intervention group received 1000 mg/d L-carnitine as capsule and the control group received the same amount of placebo (cellulose). Every 2 weeks, the subjects received capsules. To estimate the compliance rate, the empty sachets of capsules were collected at the end of each month. The capsules of L-carnitine and placebo had similar appearance. All capsules were produced by Karen Pharmaceuticals Co., Yazd, Iran. In addition, all subjects followed a low-calorie diet. A registered dietitian estimated the energy expenditure of each patient through Harris-Benedict formula [30]. The composition of the diet was as follows: 50% to 60% carbohydrates, 15% to 20% proteins, and less than 30% total fat.

Dietary intake and physical activity assessments

Energy and macronutrients intakes were assessed by a 3-day (1 weekend day and 2 nonconsecutive weekdays) 24-h recall questionnaire at the baseline and week 12. Analysis of the dietary intakes was performed using a Nutritionist IV software (Warrington, United Kingdom).

In addition, physical activity was assessed at the baseline and after intervention using a long form of International Physical Activity Questionnaire (IPAQ) [31].

Laboratory and anthropometric evaluations

Laboratory and anthropometric assessments were performed at the baseline and after intervention. To measure the serum concentrations of TC, TG and high density lipoprotein-cholesterol (HDL-c), 5 ml blood was collected after 8 h fasting. The samples were centrifuged and immediately frozen and stored at − 70 °C. Using an autoanalyzer (AVIDA 1800 chemistry system; Siemens, United Kingdom) and Pars Azmoon kits, the serum concentrations of TC, TG and HDL-c were measured. In addition, estimating LDL-c was performed by the Friedewald’s equation [32].

Anthropometric measurements were performed at the baseline and after intervention. The weight was measured using a portable digital scale (Omeron BF511, Japan) with an accuracy of 100 g. Assessment of height was performed utilizing a stadiometer with an accuracy of 0.1 cm. Measuring WC was performed under the standard protocol by a measuring tape. We calculated body mass index (BMI) using the following formula: weight (kg)/height squared (m2).

Indices

Calculating LAP [13], AIP [10], AC [33] and CRI-II [34] was performed at baseline and after intervention using the following equations:

  • LAPwomen = (WC − 58) × TG [13].

  • AIP = log (TG/HDL-c) [10].

  • AC = (TC-HDL-c)/HDL-c [33].

  • CRI-II = LDL-c/HDL-c [34].

Sample size and statistical analysis

Our previous article reported the results of clinical symptoms, lipid profile, C-reactive protein and malondialdehyde [26], and the optimal sample size was estimated to be 38 for each group, by assuming confidence interval, α = 0.05, and power = 80%. In addition, power analysis was performed and power = 80% was obtained for AC. To analyze the data, a statistical package for social science (SPSS) software (Chicago, Illinois, USA) version 24 was used. An intention-to-treat (ITT) approach using last observation carried forward (LOCF) analysis method was carried out. In this method, a missing follow-up visit value is replaced by the last observed value. ITT analysis includes every subject who is randomized according to randomized treatment assignment. It ignores noncompliance, protocol deviations, withdrawal, and anything that happens after randomization. Assessment of normal distributions was performed by Kolmogorov–Smirnov test. We used an independent t-test (for parametric variables), and Mann–Whitney U test (for non-parametric variables) to compare the variables between groups. In addition, analyzing parametric and non-parametric data within each group was performed using paired t-test and Wilcoxon signed rank test, respectively. To identify the differences between groups after adjusting for covariates, univariate analysis of covariance (ANCOVA) was carried out. P ≤ 0.05 was significant.

Results

Characteristics and anthropometric variables

Six participants were excluded from the trial due to lost to follow-up. Finally, a total of 70 participants completed the trial (Fig. 1). The percentage of adherence to the study protocol was 92.1% (89.4% in intervention group and 94.7% in placebo group). We found no significant difference between groups in baseline parameters including age, education, occupational status, physical activity, energy intake, macronutrients intake, anthropometric variables and lipid profile (P > 0.05) (Table 1). After intervention, there was no difference between groups in weight, BMI, WC and energy intake (P > 0.05) (Table 2). In addition, no serious adverse effect was reported during the trial.

Fig. 1
figure 1

Flowchart of participant eligibility, screening, and follow-up

Full size image
Table 1 Baseline characteristics in women with knee osteoarthritis
Full size table
Table 2 Anthropometric parameters and energy intake in women with knee osteoarthritis
Full size table

Outcomes

There was no significant difference between groups in terms of LAP (P = 0.28), AIP (P = 0.93), AC (P = 0.11) and CRI-II (P = 0.15) at the baseline (Table 3). At the end of the intervention, a significant difference was found between groups in terms of LAP (P = 0.05) and CRI-II (P = 0.03); however, there was no significant difference between groups in AIP (P = 0.37) and AC (P = 0.22) (Table 3).

Table 3 Effect of L-carnitine on indices in women with knee osteoarthritis*
Full size table

A significant reduction in LAP was observed in the L-carnitine group compared to the placebo group (− 11.05 (− 28.24 to 0.40) vs. − 5.82 (− 24.44 to 2.68); P = 0.03). However, there was no significant difference between groups in AIP (mean changes: − 0.05 ± 0.16 vs. − 0.01 ± 0.13; P = 0.19), AC (mean changes: − 0.40 ± 0.81 vs. − 0.30 ± 0.67; P = 0.67) and CRI-II (mean changes: − 0.20 ± 0.76 vs. − 0.21 ± 0.47; P = 0.11) (Table 3).

Discussion

To the best of our knowledge, the present study is the first RCT that examined the effect of L-carnitine on LAP, AIP, AC and CRI-II in women with knee osteoarthritis. We demonstrated that L-carnitine supplementation for 12 weeks can reduce LAP. However, L-carnitine supplementation had no impact on AIP, AC and CRI-II.

The LAP index is known as an available and accurate scoring system to estimate cardiometabolic risk and visceral obesity [12,13,14,15]. A RCT evaluated the effect of 12-week L-carnitine supplementation (1000 mg/day) on LAP, and reported that L-carnitine has no effect on LAP among women with PCOS [28]. The crude results of our study was similar to the study of Sangouni et al. [28]; however, we found a significant reduction of LAP after adjusting for education of participants. WC and TG are used in the equation of LAP [13]. The study of Malaguarnera et al. [22] demonstrated that 2000 mg/day L-carnitine supplementation can improve the levels of TG in patients with T2DM. In addition, Lee et al. [35] found a slight reduction in TG after 12-week L-carnitine supplementation in patients coronary artery disease. However, the study of Malek Mahdavi et al. [19] reported that 750 mg/day L-carnitine has no effect on TG in women with osteoarthritis. In addition, Samimi et al. [23] conducted a study among women with PCOS, and showed that 250 mg/day L-carnitine supplementation for 12 weeks has no effect on TG. It seems, higher dosages of L-carnitine can improve the levels of TG. On the other hand, a RCT found a significant reduction of WC in patients with PCOS who received L-carnitine supplementation for 12 weeks [36]. However, the RCT of Samimi et al. [23] reported that L-carnitine supplementation (250 mg/day) for 12 weeks has no effect on WC in women with PCOS. Probably, high dosage of L-carnitine supplementation has a beneficial effect on body composition. A meta-analysis of RCTs revealed that L-carnitine supplementation between 1800 and 4000 mg/day can improve some anthropometric variables [37]. However, further RCTs with larger sample sizes are needed to determine the long-term effects of L-carnitine supplementation and subsequently reach a reliable conclusion. It has been suggested that L-carnitine can reduce lipid accumulation through inducing lipid beta-oxidation, regulating hormone-sensitive lipase, acyl-coenzyme A oxidase and peroxisome proliferator-activated receptor-gamma (the main factors involved in the lipid catabolism or adipogenesis), regulating appetite control, decreasing energy intake and increasing energy expenditure [20, 21].

We demonstrated that AIP, AC and CRI-II did not change after 12-week L-carnitine supplementation. Consistent with our findings, a RCT showed that L-carnitine supplementation (1000 mg/day) for 12 weeks could not improve AIP, AC and CRI-II in patients with PCOS [28]. AIP, AC and CRI-II are based on lipid profile [10, 33, 34]. The study of Baghban et al. [26] demonstrated that L-carnitine supplementation (1000 mg/day) has no significant effect on TG, TC, LDL-c and HDL-c in women with knee osteoarthritis. In addition, the RCT of Samimi et al. [23] reported that 250 mg/day L-carnitine supplementation for 12 weeks could not improve TG, TC, LDL-c and HDL-c in women with PCOS. Moreover, a RCT found that L-carnitine supplementation for 12 weeks with dose of 1000 mg/day has no impact on lipid profile in patients with PCOS [38]. However, the study of Malaguarnera et al. [22] demonstrated a significant reduction of TG, LDL-c and oxidized LDL-c in patients with T2DM who received 2000 mg/day L-carnitine supplementation for 12 weeks. According to evidence, the main reason of some inconsistencies in this field can be the difference in dosage of L-carnitine. It seems, high dosage of L-carnitine has some beneficial effect on lipid profile. A meta-analysis reported that L-carnitine intake more than 2000 mg/day can improve the blood lipid parameters [39]. High dose of L-carnitine can stimulate apolipoprotein-A1 production, decrease synthesis of TG and esterification toward acetylcarnitines formation, increase lipid beta-oxidation, regulate hormone-sensitive lipase and induce lipid catabolism [25, 40, 41].

We declare that our research group reported the findings of clinical symptoms, anthropometric parameters, lipid profile, C-reactive protein and malondialdehyde [26], and we used the same data for the present article. To follow the principals of ethics in research, we clarify that Fig. 1 and some important information of the mentioned article [26] were added to the present article.

As an important strength, the present study was the first RCT that investigated the effect of L-carnitine supplementation on indices such as LAP, AIP, AC and CRI-II in women with knee osteoarthritis. However, the present study had some important limitations. The dosage of L-carnitine that we used for this study was low. In addition, the sample size of this study was small. A small sample size may make it difficult to reach a firm conclusion.

Conclusions

In conclusion, L-carnitine supplementation (1000 mg/day) for 12 weeks improved LAP, but it has no effect on atherogenic indices. Studies with larger sample sizes as well as higher dosages of L-carnitine are required to demonstrate the real efficacy of L-carnitine.

Availability of data and materials

The datasets generated and analyzed during the current study are not publicly available due to their containing information that could compromise the privacy of research participants, but are available from the corresponding author, Mahdieh Hosseinzadeh, on reasonable request.

Abbreviations

ANCOVA:

Analysis of covariance

CVD:

Cardiovascular disease

HDL-c:

High density lipoprotein-cholesterol

IPAQ:

International physical activity questionnaire

ITT:

Intention-to-treat

LAP:

Lipid accumulation product

LDL-c:

Low density lipoprotein-cholesterol

LOCF:

Last observation carried forward

NAFLD:

Non-alcoholic fatty liver disease

PCOS:

Polycystic ovary syndrome

RCT:

Randomized controlled trial

SPSS:

Statistical package for social science

T2DM:

Type 2 diabetes mellitus

TC:

Total cholesterol

TG:

Triglyceride

VAI:

Visceral adiposity index

WC:

Waist circumference

References

  1. Palazzo C, Nguyen C, Lefevre-Colau MM, Rannou F, Poiraudeau S. Risk factors and burden of osteoarthritis. Ann Phys Rehabil Med. 2016;59(3):134–8.

    Article  Google Scholar 

  2. Bortoluzzi A, Furini F, Scirè CA. Osteoarthritis and its management - Epidemiology, nutritional aspects and environmental factors. Autoimmun Rev. 2018;17(11):1097–104.

    CAS  Article  Google Scholar 

  3. Mora JC, Przkora R, Cruz-Almeida Y. Knee osteoarthritis: Pathophysiology and current treatment modalities. J Pain Res. 2018;11:2189–96.

    CAS  Article  Google Scholar 

  4. Abramoff B, Caldera FE. Osteoarthritis: pathology, diagnosis, and treatment options. Med Clin North Am. 2020;104(2):293–311.

    Article  Google Scholar 

  5. Heidari B. Knee osteoarthritis prevalence, risk factors, pathogenesis and features: Part I. Casp J Intern Med. 2011;2(2):205–12.

    Google Scholar 

  6. Brouwers H, Von Hegedus J, Toes R, Kloppenburg M, Ioan-Facsinay A. Lipid mediators of inflammation in rheumatoid arthritis and osteoarthritis. Best Pract Res Clin Rheumatol. 2015;29(6):741–55.

    Article  Google Scholar 

  7. Lepetsos P, Papavassiliou AG. ROS/oxidative stress signaling in osteoarthritis. Biochim Biophys Acta Mol Basis Dis. 2016;1862(4):576–91.

    CAS  Article  Google Scholar 

  8. Bliddal H, Leeds AR, Christensen R. Osteoarthritis, obesity and weight loss: evidence, hypotheses and horizons—a scoping review. Obes Rev. 2014;15(7):578–86.

    CAS  Article  Google Scholar 

  9. Huang X, Wilkie R, Mamas MA, Yu D. Prevalence of cardiovascular risk factors in osteoarthritis patients derived from primary care records: a systematic review of observational studies. J Diabetes Clin Res. 2021;3(3):68–77.

    Google Scholar 

  10. Fernández-Macías JC, Ochoa-Martínez AC, Varela-Silva JA, Pérez-Maldonado IN. Atherogenic index of plasma: novel predictive biomarker for cardiovascular illnesses. Arch Med Res. 2019;50(5):285–94.

    Article  Google Scholar 

  11. Koca TT, Tugan CB, Seyithanoglu M, Kocyigit BF. The clinical importance of the plasma atherogenic index, other lipid indexes, and urinary sodium and potassium excretion in patients with stroke. Eurasian J Med. 2019;51(2):171–5.

    Article  Google Scholar 

  12. Sangouni AA, Sangsefidi ZS, Yarhosseini F, Hosseinzadeh M, Akhondi-Meybodi M, Ranjbar A, et al. Effect of Cornus mas L fruit extract on lipid accumulation product and cardiovascular indices in patients with non-alcoholic fatty liver disease: a double-blind randomized controlled trial. Clin Nutr ESPEN. 2021. https://doi.org/10.1016/j.clnesp.2021.11.023.

    Article  PubMed  Google Scholar 

  13. Kahn HS. The “lipid accumulation product” performs better than the body mass index for recognizing cardiovascular risk: a population-based comparison. BMC Cardiovasc Disord. 2005;5:26.

    Article  Google Scholar 

  14. Dai H, Wang W, Chen R, Chen Z, Lu Y, Yuan H. Lipid accumulation product is a powerful tool to predict non-alcoholic fatty liver disease in Chinese adults. Nutr Metab. 2017;14(1):1–9.

    Article  Google Scholar 

  15. Sangouni AA, Orang Z, Mozaffari-Khosravi H. Effect of omega-3 supplementation on fatty liver and visceral adiposity indices in diabetic patients with non-alcoholic fatty liver disease: a randomized controlled trial. Clin Nutr ESPEN. 2021;44:130–5.

    Article  Google Scholar 

  16. Steiber A, Kerner J, Hoppel CL. Carnitine: a nutritional, biosynthetic, and functional perspective. Mol Aspects Med. 2004;25(5–6):455–73.

    CAS  Article  Google Scholar 

  17. El-Hattab AW, Scaglia F. Disorders of carnitine biosynthesis and transport. Mol Genet Metab. 2015;116(3):107–12.

    CAS  Article  Google Scholar 

  18. Stephens FB, Constantin-teodosiu D, Greenhaff PL. New insights concerning the role of carnitine in the regulation of fuel metabolism in skeletal muscle. J Physiol. 2007;581(Pt 2):431–44.

    Article  Google Scholar 

  19. Malek Mahdavi A, Mahdavi R, Kolahi S, Zemestani M, Vatankhah AM. L-Carnitine supplementation improved clinical status without changing oxidative stress and lipid profile in women with knee osteoarthritis. Nutr Res. 2015;35(8):707–15.

    CAS  Article  Google Scholar 

  20. Kim JH, Pan JH, Lee ES, Kim YJ. L-Carnitine enhances exercise endurance capacity by promoting muscle oxidative metabolism in mice. Biochem Biophys Res Commun. 2015;464(2):568–73.

    CAS  Article  Google Scholar 

  21. Lee MS, Lee HJ, Lee HS, Kim Y. L-carnitine stimulates lipolysis via induction of the lipolytic gene expression and suppression of the adipogenic gene expression in 3T3-L1 adipocytes. J Med Food. 2006;9(4):468–73.

    CAS  Article  Google Scholar 

  22. Malaguarnera M, Vacante M, Avitabile T, Malaguarnera M, Cammalleri L, Motta M. L-Carnitine supplementation reduces oxidized LDL cholesterol in patients with diabetes. Am J Clin Nutr. 2009;89(1):71–6.

    CAS  Article  Google Scholar 

  23. Samimi M, Jamilian M, Ebrahimi FA, Rahimi M, Tajbakhsh B, Asemi Z. Oral carnitine supplementation reduces body weight and insulin resistance in women with polycystic ovary syndrome: a randomized, double-blind, placebo-controlled trial. Clin Endocrinol (Oxf). 2016;84(6):851–7.

    CAS  Article  Google Scholar 

  24. Müller DM, Seim H, Kiess W, Löster H, Richter T. Effects of oral L-carnitine supplementation on in vivo long-chain fatty acid oxidation in healthy adults. Metabolism. 2002;51(11):1389–91.

    Article  Google Scholar 

  25. Hoppel C. The role of carnitine in normal and altered fatty acid metabolism. Am J Kidney Dis. 2003;41(4 Suppl 4):S4-12.

    CAS  Article  Google Scholar 

  26. Baghban F, Hosseinzadeh M, Mozaffari-khosravi H, Dehghan A. The effect of L-Carnitine supplementation on clinical symptoms, C-reactive protein and malondialdehyde in obese women with knee osteoarthritis : a double blind randomized controlled trial. BMC Musculoskelet Disord. 2021;22:195.

    CAS  Article  Google Scholar 

  27. Malek Mahdavi A, Mahdavi R, Kolahi S. Effects of l-carnitine supplementation on serum inflammatory factors and matrix metalloproteinase enzymes in females with knee osteoarthritis: a randomized, double-blind, placebo-controlled pilot study. J Am Coll Nutr. 2016;35(7):597–603.

    CAS  Article  Google Scholar 

  28. Sangouni AA, Sasanfar B, Ghadiri-Anari A, Hosseinzadeh M. Effect of L-carnitine supplementation on liver fat content and cardiometabolic indices in overweight/obese women with polycystic ovary syndrome: a randomized controlled trial. Clin Nutr ESPEN. 2021;46:54–9.

    Article  Google Scholar 

  29. Saghaei M. Random allocation software for parallel group randomized trials. BMC Med Res Methodol. 2004;4:26.

    Article  Google Scholar 

  30. Frankenfield DC, Muth ER, Rowe WA. The Harris-Benedict studies of human basal metabolism: history and limitations. J Am Diet Assoc. 1998;98(4):439–45.

    CAS  Article  Google Scholar 

  31. Pehrsson PR, Haytowitz DB, Holden JM, Perry CR, Beckler DG. USDA’s national food and nutrient analysis program: Food sampling. J Food Compos Anal. 2000;13(4):379–89.

    CAS  Article  Google Scholar 

  32. Atabi F, Mohammadi R. Clinical validation of eleven formulas for calculating LDL-C in Iran. Iran J Pathol. 2020;15(4):261–7.

    Article  Google Scholar 

  33. Singh M, Pathak MS, Paul A. A study on atherogenic indices of pregnancy induced hypertension patients as compared to normal pregnant women. J Clin Diagnostic Res. 2015;9(7):BC05-8.

    Google Scholar 

  34. Sujatha R, Kavitha S. Atherogenic indices in stroke patients: a retrospective study. Iran J Neurol. 2017;16(2):78–82.

    PubMed  PubMed Central  Google Scholar 

  35. Lee BJ, Lin JS, Lin YC, Lin PT. Effects of L-carnitine supplementation on lipid profiles in patients with coronary artery disease. Lipids Health Dis. 2016;15:107.

    Article  Google Scholar 

  36. Hosseinzadeh M, Pakravanfar F, Ghadiri-Anari A, Fallahzadeh H. The effect of L-carnitine supplementation on weight and body composition in women with polycystic ovary syndrome: a double-blind randomized clinical trial. J Nutr Food Secur. 2020;5(3):282–9.

    Google Scholar 

  37. Pooyandjoo M, Nouhi M, Shab-Bidar S, Djafarian K, Olyaeemanesh A. The effect of (L-)carnitine on weight loss in adults: a systematic review and meta-analysis of randomized controlled trials. Obes Rev. 2016;17(10):970–6.

    CAS  Article  Google Scholar 

  38. Sangouni AA, Pakravanfar F, Ghadiri-Anari A, Nadjarzadeh A, Fallahzadeh H, Hosseinzadeh M. The effect of L-carnitine supplementation on insulin resistance, sex hormone-binding globulin and lipid profile in overweight/obese women with polycystic ovary syndrome: a randomized clinical trial. Eur J Nutr. 2021. https://doi.org/10.1007/s00394-021-02659-0.

    Article  PubMed  Google Scholar 

  39. Askarpour M, Hadi A, Symonds ME, Miraghajani M, Sadeghi O, Sheikhi A, et al. Efficacy of L-carnitine supplementation for management of blood lipids: a systematic review and dose-response meta-analysis of randomized controlled trials. Nutr Metab Cardiovasc Dis. 2019;29(11):1151–67.

    CAS  Article  Google Scholar 

  40. Longo N, Frigeni M, Pasquali M. Carnitine transport and fatty acid oxidation. Biochim Biophys Acta. 2016;1863(10):2422–35.

    CAS  Article  Google Scholar 

  41. Montjean D, Entezami F, Lichtblau I, Belloc S, Gurgan T, Menezo Y. Carnitine content in the follicular fluid and expression of the enzymes involved in beta oxidation in oocytes and cumulus cells. J Assist Reprod Genet. 2012;29(11):1221–5.

    Article  Google Scholar 

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Acknowledgements

We acknowledge the contribution of the patients and co-researchers.

Funding

Shahid Sadoughi University of Medical Sciences and Health Services, Yazd, Iran supported this study. This was a financial support for student thesis process including laboratory works and providing supplements.

Author information

Authors and Affiliations

  1. Nutrition and Food Security Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

    Abbas Ali Sangouni, Farnaz Baghban, Hassan Mozaffari-Khosravi & Mahdieh Hosseinzadeh

  2. Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

    Abbas Ali Sangouni, Farnaz Baghban, Hassan Mozaffari-Khosravi & Mahdieh Hosseinzadeh

  3. Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

    Maryam Khosravi

  4. Department of Internal Medicine, Shahid Sadoughi Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

    Ali Dehghan

Authors
  1. Abbas Ali Sangouni
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  2. Farnaz Baghban
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  3. Maryam Khosravi
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  4. Hassan Mozaffari-Khosravi
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  6. Mahdieh Hosseinzadeh
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Contributions

MH, HM-Kh and FBconducted the study, ADprovided material and technical support, AS carried out the statistical analysis, AS and MKh interpreted the findings and drafted the manuscript, MH critically revised the manuscript, and MH supervised the study. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Mahdieh Hosseinzadeh.

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The research council of Nutrition and Food Security Research Center, Shahid Sadoughi University of Medical Sciences and Health Services approved the study protocol. The ethical committee of Shahid Sadoughi University of Medical Sciences and Health Services in Yazd approved the written informed consent (code number: IR.SSU.SPH.REC.1395.45). The written informed consent was obtained from all participants before the data collection. All methods were performed in accordance with the Helsinki Declaration.

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Sangouni, A.A., Baghban, F., Khosravi, M. et al. Effect of L-carnitine supplementation on lipid accumulation product and cardiovascular indices in women with overweight/obesity who have knee osteoarthritis: a randomized controlled trial. BMC Rheumatol 6, 53 (2022). https://doi.org/10.1186/s41927-022-00286-8

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  • DOI: https://doi.org/10.1186/s41927-022-00286-8

Keywords

  • Knee osteoarthritis
  • L-carnitine
  • Lipid accumulation product
  • Cardiovascular risk

BMC Rheumatology

ISSN: 2520-1026

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