Skip to main content

Evaluation of the effect of Lactobacillus reuteri V3401 on biomarkers of inflammation, cardiovascular risk and liver steatosis in obese adults with metabolic syndrome: a randomized clinical trial (PROSIR)

Abstract

Background

Obesity is characterized by increased fat mass and is associated with the development of insulin resistance syndrome (IRS), usually known as metabolic syndrome. The alteration of the intestinal microbiota composition has a role in the development of IRS associated with obesity, and probiotics, which are live microorganisms that confer a health benefit to the host, contribute to restore intestinal microbiota homeostasis and lower peripheral tissue insulin resistance. We aim to evaluate the effects of the probiotic strain Lactobacillus reuteri (L. reuteri) V3401 on the composition of intestinal microbiota, markers of insulin resistance and biomarkers of inflammation, cardiovascular risk, and hepatic steatosis in patients with overweight and obesity exhibiting IRS.

Methods/design

We describe a randomized, double-blind, crossover, placebo-controlled, and single-centre trial. Sixty participants (aged 18 to 65 years) diagnosed with IRS will be randomized in a 1:1 ratio to receive either a daily dose of placebo or 5 × 109 colony-forming units of L. reuteri V3401. The study will consist of two intervention periods of 12 weeks separated by a washout period of 6 weeks and preceded by another washout period of 2 weeks. The primary outcome will be the change in plasma lipopolysaccharide (LPS) levels at 12 weeks. Secondary outcomes will include anthropometric parameters, lipid profile, glucose metabolism, microbiota composition, hepatic steatosis, and inflammatory and cardiovascular biomarkers. Blood and stool samples will be collected at baseline, at the midpoint (only stool samples) and immediately after each intervention period. Luminex technology will be used to measure interleukins. For statistical analysis, a mixed ANOVA model will be employed to calculate changes in the outcome variables.

Discussion

This is the first time that L. reuteri V3401 will be evaluated in patients with IRS. Therefore, this study will provide valuable scientific information about the effects of this strain in metabolic syndrome patients.

Trial registration

The trial has been retrospectively registered in ClinicalTrials.gov on the 23rd November 2016 (ID: NCT02972567), during the recruitment phase.

Peer Review reports

Trial status

Currently, the trial is ongoing and the analyses of the data and biomarkers continuing.

Background

Obesity is a chronic, low-grade systemic inflammatory disease that is complex and multifactorial, with both genetic and environmental factors involved. This condition and its comorbidities have reached epidemic proportions, both in developed and developing countries [1]. Obesity is associated with the development of insulin resistance syndrome (IRS), commonly referred to as metabolic syndrome. IRS is defined by the presence of impaired glucose metabolism, hypertriglyceridemia, low concentrations of serum high-density lipoprotein (HDL) and other alterations associated with an increased risk of cardiovascular disease (CVD). IRS is a key factor in the development of type 2 diabetes mellitus (DM2), CVD and non-alcoholic fatty liver disease (NAFLD) [2]. Clinical management of IRS remains a public health challenge. Indeed, current treatment is based on changes in lifestyle through hygienic-dietary measures (diet and exercise) combined with medical therapy, if necessary, to treat the components of IRS separately and not as a whole entity.

In recent years, it has become clear that the alteration of the intestinal microbiota composition can contribute to the development of insulin resistance associated with obesity [3,4,5]. In this sense, a decreased Bacteroidetes/Firmicutes ratio has been described in obese compared to lean individuals [6]. Furthermore, an aberrant intestinal microbiota is able to promote a state of low-grade systemic inflammation, insulin resistance and increased CVD risk through mechanisms that include exposure to bacterial products. In particular, lipopolysaccharide (LPS) produces metabolic endotoxaemia capable of modulating pro-inflammatory cytokines and altering glucose and lipid metabolism in the liver and adipose tissue [7, 8]. In addition, it has been reported that high concentrations of serum LPS-binding protein (LBP) are associated with obesity, IRS and DM2 [9].

Probiotics are live microorganisms that confer a health benefit on the host when administered in adequate amounts. They can modulate the gut microbiota and the immune system. The strains most frequently used as probiotics belong to the Bifidobacterium and Lactobacillus genera [10]. In this regard, our group has reported that the administration of 9 × 109 cfu (colony-forming units)/day of three probiotics strains (Lactobacillus paracasei CNCM I-4034, Lactobacillus rhamnosus CNCM I-4036 and Bifidobacterium breve CNCM I-4035) to healthy subjects during 30 days induced significant colon microbiota modifications [11].

This fact opens the possibility of a new approach in the treatment of IRS, not with drugs but with functional foods containing probiotics [12]. Intervention studies to determine the effect of probiotics on the components of IRS are limited and often contradictory, mainly due to differences in the design of the study protocol and in the selection of the probiotic strain because the effects observed are strain dependent.

In this sense, it has been described that Lactobacillus reuteri (L. reuteri) V3401 (CECT 8605) successfully reduces the absorption of cholesterol by intestinal epithelial cells in in vitro and in vivo assays. This cholesterol-absorbing capacity may be induced through an increase in lytic activity specific to L. reuteri V3401 [13]. In an animal model, mice fed a hypercholesterolemic diet supplemented with 2 × 109 cfu of L. reuteri V3401/day for 57 days exhibited reduced serum cholesterol levels compared to hypercholesterolemic mice that did not receive the probiotic supplement. Moreover, the animals supplemented with the probiotic strain showed glycemic values similar to those of normocholesterolemic mice [13]. These results suggest that this strain might be adequate for the treatment of dyslipidaemia [13]. We therefore hypothesize that L. reuteri V3401 may provide a beneficial effect on IRS treatment, and we aim to study L. reuteri V3401 effects in a crossover clinical double-blind, randomized, placebo-controlled trial in IRS patients.

Method/design

Aim of the study

The main objective is to evaluate the effects of L. reuteri V3401 on the composition of intestinal microbiota, anthropometric parameters, and biomarkers of insulin resistance (inflammation, cardiovascular risk, and hepatic steatosis) in IRS patients.

Lactobacillus reuteri V3401 characteristics

Lyophilized L. reuteri V3401 capsules will be specially prepared for the trial. The capsules will contain 5 × 109 cfu, in agreement with previous data obtained from studies in animals [13]. The placebo will contain maltodextrin and will also be supplied in capsules. Capsules for the probiotic and placebo will be indistinguishable in shape, colour, and organoleptic conditions, and will be provided by Biosearch Life.

Study design

The study is a randomized, double-blind, crossover, controlled, and single-center trial. The trial will be conducted by members of both the Endocrinology and Nutrition Department and the Gastroenterology Department of Complejo Hospitalario de Jaén (Spain). Participants will be instructed to follow a prebiotic- and probiotic-free diet two weeks before the beginning of the intervention and during the study. The study will be performed as shown in Fig. 1. Blood samples, as well as the food and physical activity questionnaire will be analysed by the members of the University of Granada at the University facilities. Microbial DNA isolated from faecal samples will be sequenced in the facilities of the Hospital Universitario San Cecilio (Granada, Spain).

Fig. 1
figure 1

Flow-chart of the study

The protocol (PROSIR version 2) will be approved by the local Ethics Committee of Granada and Jaen (CEI-Granada and CEI Jaén with references CEI- Jaen 25,022,016 and CEI-Granada 28,022,016, respectively), and conducted according to the standards given in the Declaration of Helsinki and the Good Clinical Practice Guidelines [14]. All investigators participating in the trial are appropriately qualified.

The Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) guidelines for this study protocol has been included as an Additional file 1.

Participants, interventions, and outcomes

Inclusion criteria

Individuals aged 18 to 65 years newly-diagnosed with IRS, according to the criteria of the International Diabetes Federation (IDF), and without any previous treatment for the metabolic syndrome, will participate in the study. The prescription of any treatment not allowed during the course of the study, according to exclusion criteria, will be considered a reason for dropping out. Before starting the trial, written informed consent will be provided by all patients.

Exclusion criteria

The use of hypoglycaemic treatment, lipid-lowering medications and treatment with drugs that increase liver enzymes, treatment with specific anti-hypertensives (beta-blockers, angiotensin 2 receptor antagonists, angiotensin-converting enzyme inhibitors) will be considered as an exclusion criteria. Moreover, the exclusion criteria include the presence of kidney disease; diabetes; acute liver injury or severe cirrhosis; immune deficiency conditions; elevated values of C-reactive protein; pregnancy or breastfeeding; history of drug or alcohol abuse; or participation in a study of an investigational medication within the past 30 days.

Recruitment

A total of 60 subjects are expected to be recruited from the Endocrine and Nutrition Clinic at Complejo Hospitalario de Jaén (Spain) by the physician responsible, through the local newspaper and using advertisement posts at different locations at the hospital facilities.

Randomization, allocation, and blinding

Patients will be randomly allocated in a 1:1 ratio to receive a capsule containing either lyophilized L. reuteri V3401 or placebo once daily with food for 12 weeks. A stratified block-randomization method of a software program for sequence generation will be used. After a 6-week washout, participants will crossover to receive the alternative intervention for another 12 weeks. Subjects and investigators will be blinded to the treatment allocation during the course of the intervention. The blind will be broken following consultation with the sponsor.

The capsules will be prepared in special containers with the random number label. Capsules will be delivered at the beginning of each intervention and six weeks later to ensure probiotic viability.

Intervention

We will conduct a standard semi-structured clinical interview with clinical assessment. Subsequently, we will audit the clinical reports to extract relevant information (Additional file 2). In addition, a physical examination, and a complete blood test will be also conducted prior to inclusion in the study. Participants meeting the inclusion criteria will be randomly assigned to the probiotic or placebo group. During the intervention, participants will be asked to ingest a capsule per day with food. Capsules will be administered over two periods of 12 weeks. During the washout period, participants will not receive dietary recommendations. Clinical follow-up visits will be scheduled at the beginning, midpoint, and end of each interventional period. At each visit, anthropometric parameters will be registered, and possible adverse effects will be recorded (Table 1).

Table 1 Detailed study procedures

The data and samples will be collected in the Complejo Hospitalario de Jaén by qualified personal, and will be codified according to the biobank of the Public Health System of Andalusia (BSSPA) guidelines. All samples will be managed and processed in accordance with BSSPA protocols. All samples will be centralized at the BSSPA facilities.

Dietary and physical activity control

Participants will be provided with a list of local foods to avoid due to their potential probiotic or prebiotic content. Subjects will be asked to complete a three-day dietary record at the beginning, midpoint, and end of each intervention period. Energy and dietary intakes will be assessed from the 3-day records using the EvalFINUT software (http://www.finut.org/evalfinut/). Additionally, subjects will complete the Food Frequency Questionnaire (FFQ) at the beginning of each intervention period. Participants will receive nutritional counselling on a healthy Mediterranean diet providing approximately 25 kcal/kg/ day to achieve and maintain 7% loss of initial body weight and increase moderate-intensity physical activity (such as brisk walking) for at least 150 min/week following the guidelines of the American Diabetes Association for the prevention or delay of DM2 [15]. Likewise, physical activity will be monitored through the International Physical Activity Questionnaire (IPAQ) at the beginning, midpoint, and end of each intervention period. In the following visits, an intensive lifestyle intervention programme will be carried out to reinforce the behaviour.

Outcome measures

Clinical and anthropometric parameters (weight, height, waist circumference and blood pressure) will be recorded. A hepatic ultrasound (US) test will also be performed at the beginning of the two intervention periods, as well as at the end of the intervention periods. US diagnostic criteria for diagnosis and grading of hepatic steatosis will be used [16]. Smoking habits and anxiolytic and antihistaminic drug intake will also be recorded.

Blood samples will be collected after 12 h of fasting at the beginning and at the end of each intervention period (t0, t12, t18 and t30). Stool samples will also be taken at baseline and at 6, 12, 18, 24, and 30 weeks (t0, t6, t12, t18, t24, and t30, respectively). Serum will be collected by centrifugation of blood samples for the determination of biochemical and inflammation biomarkers. Faecal samples will be collected and kept at − 80 °C until analysis. All samples will remain frozen at − 80 °C in the BSSPA Platform.

Primary outcome

The primary outcome will be the change in plasma lipopolysaccharide (LPS) concentration. The determination of LPS concentration and LPS-binding lipoprotein (LBP) will be performed by a simple ELISA (Cloud-Clone Corp., Houston, USA).

Secondary outcomes

Body Mass Index (BMI) and waist circumference will be registered at the beginning, midpoint, and end of each intervention period by qualified staff. Systolic and diastolic blood pressures will be determined three times at 5-min intervals while volunteers are seated using a standardized mercury sphygmomanometer; the final two measurements will be averaged for the analysis.

Serum glucose, insulin, Homeostasis Model Assessment (HOMA) index, cholesterol, LDL, HDL, triacylglycerols, glutamate-pyruvate transaminase (GPT), glutamate-oxaloacetate transaminase (GOT), gamma-glutamyltransferase (γ-GT), glycated haemoglobin, and C-reactive protein will be determined before and at the end of each intervention period by standard methods.

Inflammatory and CDV biomarkers, including adiponectin, resistin, myeloperoxidase (MPO), plasminogen activator inhibitor-1 (PAI-1), tumour necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), interleukin-8 (IL-8), soluble intercellular adhesion molecule-1 (sICAM-1) and soluble vascular adhesion molecule-1 (sVCAM-1), will be measured using MILLIPLEXMAP test kits (Milliplex Map Kit, Millipore Corp, Billerica, MA). Arginase, prolidase and retinol binding protein-4 will be measured as hepatic steatosis markers. The arginase and prolidase activity will be measured according to Palomero-Rodriguez et al. [17] and Kayadibi et al. [18], respectively, whereas RBP-4 will be determined by ELISA technology (AdipoGen Inc).

For the study of intestinal microbiota composition, a 16S metagenomics sequencing will be performed. In brief, faecal DNA will be extracted using a commercial isolation kit (QIAamp DNA Stool Mimi Kit, Qiagen). The variable V3 and V4 regions of the 16S rRNA gene will be PCR-amplified and sequenced on an Illumina MiSeq platform at Hospital Universitario San Cecilio, Spain, following the Illumina recommendations.

Withdrawal, dropout, discontinuation, and compliance

Withdrawal will be allowed at any time during the trial. Participants may be advised to discontinue the trial if there is no compliance or if a severe adverse event occurs. Women will be advised not to become pregnant during the study. Participants will be instructed to return the unconsumed capsules when collecting the follow-up doses. Participants whose compliance with treatments or placebo is ≤80% of the total, those who become pregnant and those who develop diabetes will be considered dropouts.

Adverse events and safety monitoring

All Lactobacillus strains are considered safe by the EFSA (European Food Safety Authority). However, each participant will be monitored for abdominal discomfort, diarrhoea, bloating, constipation and nausea/vomiting, among other possible effects, during each visit, and all unexpected adverse events will be reported by participants and written on the individual case report form by the investigator.

Sample size and power analysis

Based on the range and median value of LPS [8] and assuming a power of 80% and a significance level of 5%, the minimum number of subjects will be 21 per arm. To avoid possible bias caused by gender and taking into account withdrawal, we will be recruiting a total of 60 subjects. Missing data will be considered as unavailable data.

Statistical analysis

Data analyses will be performed at the end of the intervention, therefore, a replacement or substitution of a withdrawal subject is not planned; therefore, the missing data will be considered unavailable data.

The normality of variables will be assessed. Variables not following a normal distribution will be transformed. Normal variables will be expressed as the mean and standard error of the mean. An intention-to-treat analysis will be performed for the analysis of efficacy. In order to determine differences in basal characteristics, a paired t-test will be used. Carryover effects will be assessed by three-way ANOVA. A general lineal model for repeated measurements will be performed to evaluate differences between variables at the beginning, midpoint, and end of each intervention period. Two-way ANOVA will be used to determine the influence of treatment (probiotic or placebo) and time on the continuous dependent variables. Statistical analyses will be performed using IBM SPSS statistics v22.

Discussion

The present study has been designed to demonstrate whether a probiotic strain, L. reuteri V3401, is capable of reducing the IRS components together with healthy lifestyle recommendations (hypocaloric diet and physical activity).

Currently, altered intestinal microbiota is considered a new player in IRS based on its capacity to promote a state of low-grade systemic inflammation, insulin resistance and increased cardiovascular risk through mechanisms that include exposure to bacterial products such as LPS, a component of the outer membrane of gram-negative bacteria. It is currently accepted that the increase in serum levels of LPS produces a metabolic endotoxaemia capable of modulating pro-inflammatory cytokines, as well as glucose and lipid metabolism in the liver and adipose tissue. There is scientific evidence to support the contribution of LPS in DM2 and obesity [7]. Additionally, on the basis of studies in both animals and humans, dietary intake appears to be a major regulator of the structure and function of the gut microbiota [19]. Therefore, promoting changes in the gut microbiota combined with an adequate Mediterranean diet might play an important role in ensuring the efficacy and success of reducing IRS components and avoiding DM2 development.

However, a relatively small number of randomized, clinically controlled studies assessing the beneficial effects of probiotics on metabolic syndrome parameters have been reported. When looking for a specific clinical response, special care must be taken when selecting the strain because probiotic effects are strain specific [12]. The effects of probiotics are explained by their contribution to the intestinal microbiota composition, maintenance of gut barrier function and their immunomodulation capacity [10, 12].

As mentioned above, the most commonly used strains of probiotics are Bifidobacterium and Lactobacillus spp. The consumption of L. acidophilus NCFM has been described to preserve insulin sensitivity without affecting systemic inflammation [20]. Furthermore, L. reuteri LR6 has been shown to decrease total cholesterol values and increase HDL-cholesterol levels in the plasma of rats fed a hypercholesterolemic diet [21]. In humans, enrichment of gut microbiota with L. reuteri SD5865 has been reported to increase insulin secretion, possibly due to augmented incretin release, although this strain does not seem to affect insulin sensitivity or body fat distribution [22]. However, in a correlation study, Million et al. detected L. reuteri in 20% of their study population, with occurrence increasing along with BMI values (7, 8, 34 and 22% for anorexic, lean, overweight and obese individuals, respectively) [23].

To the best of our knowledge, no studies have tested the possible beneficial effect of L. reuteri V3401 in patients with IRS. Based on the background provided above, we propose to study the L. reuteri V3401 strain by means of an intervention study in subjects with IRS who will follow a healthy lifestyle (hypocaloric diet and physical activity).

Abbreviations

BMI:

Body Mass Index

Cfu:

Colony forming units

CVD:

Cardiovascular disease

DM2:

Diabetes mellitus 2

EFSA:

European Food Safety Authority

FFQ:

Food Frequency Questionnaire

GOT:

Glutamate-oxalacetate transaminase

GPT:

Glutamate-pyruvate transaminase

HDL:

Serum high-density lipoprotein

HOMA:

Homeostasis Model Assessment

IDF:

International Diabetes Federation

IL-6:

Interleukin-6

IL-8:

Interleukin-8

IPAQ:

International Physical Activity Questionnaire

IRS:

Insulin resistance syndrome

LBP:

Serum LPS binding protein

LPS:

Lipopolysaccharide

MPO:

Myeloperoxidase

NAFLD:

Non-alcoholic fatty liver disease

PAI-1:

Plasminogen activator inhibitor-1

sICAM-1:

Soluble intracellular adhesion molecule-1

sVCAM-1:

Vascular adhesion molecule-1

TNF-α:

Tumor necrosis factor-alpha

US:

Ultrasound

γ-GT:

Gamma-glutamyltransferase

References

  1. Kushner RF, Kahan S. Introduction: the state of obesity in 2017. Med Clin North Am. 2018;102(1):1–11.

    PubMed  Google Scholar 

  2. Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart JC, James WP, Loria CM, Smith SC Jr. Harmonizing the metabolic syndrome: a joint interim statement of the international diabetes federation task force on epidemiology and prevention; National Heart, Lung, and Blood Institute; American Heart Association; world heart federation; international atherosclerosis society; and International Association for the Study of obesity. Circulation. 2009;120(16):1640–5.

    Article  CAS  Google Scholar 

  3. Bäckhed F, Ding H, Wang T, Hooper LV, Koh GY, Nagy A, et al. The gut microbiota as an environmental factor that regulates fat storage. Proc Natl Acad Sci U S A. 2004;101(44):15718–23.

    Article  Google Scholar 

  4. Bäckhed F, Manchester JK, Semenkovich CF, Gordon JI. Mechanisms underlying the resistance to diet-induced obesity in germ-free mice. Proc Natl Acad Sci. 2007;104(3):979–84.

    Article  Google Scholar 

  5. Turnbaugh PJ, Ley RE, Mahowald MA, Magrini V, Mardis ER, Gordon JI. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature. 2006;444(7122):1027–131.

    Article  Google Scholar 

  6. Turnbaugh PJ, Hamady M, Yatsunenko T, Cantarel BL, Duncan A, Ley RE, Sogin ML, Jones WJ, Roe BA, Affourtit JP, Egholm M, Henrissat B, Heath AC, Knight R, Gordon JI. A core gut microbiome in obese and lean twins. Nature. 2009;457(7228):480–4.

    Article  CAS  Google Scholar 

  7. Cani PD, Amar J, Iglesias MA, Poggi M, Knauf C, Bastelica D, Neyrinck AM, Fava F, Tuohy KM, Chabo C, Waget A, Delmée E, Cousin B, Sulpice T, Chamontin B, Ferrières J, Tanti JF, Gibson GR, Casteilla L, Delzenne NM, Alessi MC, Burcelin R. Metabolic Endotoxemia initiates obesity and insulin resistance. Diabetes. 2007;56(7):1761–72.

    Article  CAS  Google Scholar 

  8. Lassenius MI, Pietiläinen KH, Pussinen PJ, Syrjänen J, Forsblom C, Pörsti I, Rissanen A, Kaprio J, Mustonen J, Groop PH, Lehto M. Bacterial endotoxin activity in human serum is associated with dyslipidemia insulin resistance, obesity, and chronic inflammation. Diabetes Care. 2011;34:1809–15.

    Article  CAS  Google Scholar 

  9. Sun L, Yu Z, Ye X, Zou S, Li H, Yu D, Wu H, Chen Y, Dore J, Clément K, Hu FB, Lin X. A marker of endotoxemia is associated with obesity and related metabolic disorders in apparently healthy Chinese. Diabetes Care. 2010;33(9):1925–32.

    Article  CAS  Google Scholar 

  10. Bermudez-Brito M, Plaza-Díaz J, Muñoz-Quezada S, Gómez-Llorente C, Gil A. Probiotic mechanisms of action. Ann Nutr Metab. 2012;61(2):160–74.

    Article  CAS  Google Scholar 

  11. Plaza-Díaz J, Fernández-Caballero JÁ, Chueca N, García F, Gómez-Llorente C, Sáez-Lara MJ, Fontana L, Gil Á. Pyrosequencing analysis reveals changes in intestinal microbiota of healthy adults who received a daily dose of immunomodulatory probiotic strains. Nutrients. 2015;7(6):3999–4015.

    Article  Google Scholar 

  12. Miglioranza Scavuzzi B, Miglioranza LH d S, Henrique FC, Pitelli Paroschi T, Lozovoy MAB, Simão ANC, Dichi I. The role of probiotics on each component of the metabolic syndrome and other cardiovascular risks. Expert Opin Ther Targets. 2015;19(8):1127–38.

    Article  CAS  Google Scholar 

  13. Sañudo Otero AI, Criado García R, Rodríguez Nogales A, Garach Domech A, Olivares Martín M, Gálvez Peralta JJ, De La Escalera Hueso S, Duarte Pérez JM, Zarzuelo Zurita A, Bañuelos Hortigüela O. Probiotic strains having cholesterol absorbing capacity, methods and uses thereof. Google Patents; 2016. https://encrypted.google.com/patents/EP3031930A1?cl=en&hl=es Accessed 14 Jan 2018.

  14. Vijayananthan A, Nawawi O. The importance of good clinical practice guidelines and its role in clinical trials. Biomed Imaging Interv J. 2008;4(1):e5.

    Article  CAS  Google Scholar 

  15. American Diabetes Association. 5. Prevention or Delay of Type 2 Diabetes: Standards of Medical Care in Diabetes-2018. Diabetes Care. 2018;41 Suppl 1:51–4.

    Article  Google Scholar 

  16. Csendes P, Paolinelli P, Busel D, Venturelli V, Rodríguez J. Higado graso: Ultrasonido y correlación anatomopatológica. Rev Chil Radiol. 2004;10:50–2.

    Google Scholar 

  17. Palomero Rodríguez MA, García Navas R, Laporta Báez Y, Al Kassam Martínez D, de Vicente Sánchez J, Cacharro Moras LM, Sánchez Conde P, Mollinedo F, Muriel Villoria C. Relationship between arginase activity and the storage time of packed red blood cells. Rev Esp Anestesiol Reanim. 2012;59(6):315–20.

    Article  Google Scholar 

  18. Kayadibi H, Gültepe M, Yasar B, Ince AT, Ozcan O, Ipcioglu OM, Kurdas OO, Bolat B, Benek YZ, Guveli H, Atalay S, Ozkara S, Keskin O. Diagnostic value of serum prolidase enzyme activity to predict the liver histological lesions in non-alcoholic fatty liver disease: a surrogate marker to distinguish steatohepatitis from simple steatosis. Dig Dis Sci. 2009;54(8):1764–71.

    Article  CAS  Google Scholar 

  19. Lynch SV, Pedersen O. The human intestinal microbiome in health and disease. N Engl J Med. 2016;375(24):2369–79.

    Article  CAS  Google Scholar 

  20. Andreasen AS, Larsen N, Pedersen-Skovsgaard T, Berg RM, Møller K, Svendsen KD, Jakobsen M, Pedersen BK. Effects of lactobacillus acidophilus NCFM on insulin sensitivity and the systemic inflammatory response in human subjects. Br J Nutr. 2010;104(12):1831–8.

    Article  CAS  Google Scholar 

  21. Singh TP, Malik RK, Katkamwar SG, Kaur G. Hypocholesterolemic effects of Lactobacillus reuteri LR6 in rats fed on high-cholesterol diet. Int J Food Sci Nutr. 2015;66(1):71–5.

    Article  CAS  Google Scholar 

  22. Simon MC, Strassburger K, Nowotny B, Kolb H, Nowotny P, Burkart V, Zivehe F, Hwang JH, Stehle P, Pacini G, Hartmann B, Holst JJ, MacKenzie C, Bindels LB, Martinez I, Walter J, Henrich B, Schloot NC, Roden M. Intake of lactobacillus reuteri improves incretin and insulin secretion in glucose-tolerant humans: a proof of concept. Diabetes Care. 2015;38(10):1827–34.

    Article  CAS  Google Scholar 

  23. Million M, Angelakis E, Maraninchi M, Henry M, Giorgi R, Valero R, Vialettes B, Raoult D. Correlation between body mass index and gut concentrations of lactobacillus reuteri, Bifidobacterium animalis, Methanobrevibacter smithii and Escherichia coli. Int J Obes Nat. 2013;37(11):1460–6.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This paper will be part of Carmen Tenorio Jimenez’s doctorate, which is being completed as part of Programa de Doctorado en Seguridad de los Alimentos at the University of Jaén, Spain.

Funding

This study is part of the project titled “Guía para la sustanciación de declaraciones de salud en alimentos: funciones inmune, cognitiva y síndrome metabólico”. The PROSIR study has been supported by the company Biosearch life, Spain, through grant #3006 managed by Fundación General Empresa-Universidad de Granada, Spain.

Availability of data and materials

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

CTJ, MJMR (physician responsible for the intervention), LF, AG, MO and CGLL contributed to the conception and design the study. MTL, CAI, IDC will participate in the clinical study as a part of the medical team. JHM will be responsible for the IPAQ analysis. All authors have read and approved the final version of the manuscript. All the authors will have access to the final database for analysing results. CGLL, AG, JO, JPD will be responsible for the data analysis and the statistical analysis. CTJ and CGLL wrote the manuscript. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Carolina Gomez-Llorente.

Ethics declarations

Ethics approval and consent to participate

The study protocol and written informed consent were approved by the Institutional Review Board of the Jaén Hospitals (Comité de Ética de la Investigación de Jaén, Ref. 25/02/2016) and from the Review Board of the Granada Hospitals (Comité de Ética de la Investigación Biomédica de la Provincia de Granada, CEI-GRANADA, Ref.28/01/2016). Written informed consent will be obtained from each patient, according to the BSSPA procedures. Data anonymity will be used during the entire process. Finally, the clinical data of the subjects will be kept in the Complejo Hospitalario de Jaén facilities.

Consent for publication

Not applicable.

Competing interests

MO who participated in study is the Research Director of the Department of Research and Development at Biosearch life. The funding has no role in the recruitment, biological sample analysis, statistical analysis, data interpretation. None of the authors has any conflict of interest.

Publisher’s Note

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

Additional files

Additional file 1:

SPIRIT 2013 Checklist: Recommended items to address in a clinical trial protocol and related documents. (DOC 120 kb)

Additional file 2:

Clinical interview guide. (DOC 27 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), 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 (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tenorio-Jiménez, C., Martínez-Ramírez, M.J., Tercero-Lozano, M. et al. Evaluation of the effect of Lactobacillus reuteri V3401 on biomarkers of inflammation, cardiovascular risk and liver steatosis in obese adults with metabolic syndrome: a randomized clinical trial (PROSIR). BMC Complement Altern Med 18, 306 (2018). https://doi.org/10.1186/s12906-018-2371-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12906-018-2371-x

Keywords