Abstract
Multiple sclerosis (MS) is a demyelinating and neurodegenerative disease due to an autoimmune chronic inflammatory response, yet the etiology is currently not completely understood. It is already known that physical activity plays an essential role in improving quality of life, especially in neuropathological conditions. The study was aimed to investigate the possible benefits of high-intensity interval training (HIIT) in bone and lipid metabolism markers, and neuromotor abilities in MS patients. 130 participants were recruited; 16 subjects with MS met the inclusion criteria and were included in the data analysis. The patients were randomly assigned to two groups: a Control group (CG) (34.88 ± 4.45 yrs) that didn’t perform any physical activity and the Exercise group (EG) (36.20 ± 7.80 yrs) that performed HIIT protocol. The training program was conducted remotely by a kinesiologist. It was performed three times a week for 8 weeks. At the beginning (T0) and the end of the study (T1) physical function tests, bone remodelling markers, and lipid markers analyses were performed. After 8 weeks of training the wall squat (s) (T0 = 27.18 ± 4.21; T1 = 41.68 ± 5.38, p ≤ 0.01) and Time Up and Go test (s) (T0 = 7.65 ± 0.43; T1 = 6.34 ± 0.38 p ≤ 0.01) performances improved; lipid markers analysis showed a decrease in Total (mg/dl) (T0 = 187.22 ± 15.73; T1 = 173.44 ± 13.03, p ≤ 0.05) and LDL (mg/dl) (T0 = 108 ± 21.08; T1 = 95.02 ± 17.99, p < 0.05) cholesterol levels. Additionally, the levels of osteocalcin (µg/L), a marker of bone formation increased (T0 = 20.88 ± 4.22; T1 = 23.66 ± 6.24, p < 0.05), 25-OH Vitamin D (µg/L) improved after 8 weeks (T0 = 21.11 ± 7.11; T1 = 27.66 ± 7.59, p < 0.05). HIIT had an effect on lower limb strength and gait control, improved bone formation, and lipid management, in MS patients.
Similar content being viewed by others
Introduction
Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system. Its cause is currently complex and has an autoimmune background1. This condition mainly occurs in people aged 20 to 40 years old. The cause is not fully understood. However, two main factors, genetic and environmental, are known2.
Among the symptoms that characterize the disease, there are physical function disorders, such as walking and balance, systemic lipid metabolism alteration, and secondary osteoporosis. Previous studies showed a correlation between adverse clinical outcomes and increased serum cholesterol levels in MS3. Cholesterol levels have been indicated as biomarkers for disease progression4. In addition, pathologies characterized by motor dysfunction are related to changes in the balance of the bone resorption-formation process5.
The balance between the resorptive activity of osteoclasts and the production of new bone matrix by osteoblasts is known as bone remodeling6. It is controlled by mechanical stimuli and endocrine signals from calcium regulatory hormones such as parathyroid, calcitonin, and Vitamin D7. Bone mineral density (BMD) is affected in MS subjects8 who can often develop secondary osteoporosis9,10 due to reduced mechanical stimulation, deficiency in Vitamin D levels, and a secondary increase in intact parathyroid hormone (PTH)8,11 but also due to the use of certain drugs, e.g. during glucocorticoid therapy12. Exercise has a beneficial effect on metabolic processes. It can activate adaptive mechanisms based on the regulation of tissue plasticity processes, influencing the regulation of intracellular pathways13. Indeed, physical activity is a safe and recommended intervention for MS patients14, who have been shown to tolerate it15 and have benefits such as an increase in upper limb strength16. It also acts as a neuroprotective factor such as by increasing the brain-derived neurotrophic factor levels after 12 weeks of lactate threshold resistance exercise1. In addition, eight weeks of upper- and lower-body interval training using ergometers have been validated to help MS patients maintain normal blood–brain permeability17. Therefore, physical activity potentially plays an essential role in MS symptom management. However, there is no uniformity on what characteristics training protocols should have to be most suitable, safe, and effective for individuals with MS to achieve the predetermined goal. Various interventional studies have been published and there is an increase in interest in High-intensity interval training (HIIT) for MS18. It has been suggested that HIIT may be a beneficial treatment for MS patients, since it enables them to exercise more intensely without experiencing thermosensitive symptoms19 and in a shorter time. However, to our best knowledge, no one has tested the effect of this protocol on bone metabolism in MS participants.
It has already been shown that the most effective exercises in terms of load to stimulate the formation or maintenance of BMD are weight-bearing exercises, high-impact exercises (such as jumping), plyometric training, and weightlifting20,21. Aerobic training, such as cycling, walking, yoga, and swimming, although having a positive effect in maintaining homeostasis, seems not to have the same osteogenic effects. Moreover, long-duration endurance training, not supported by proper caloric intake, might have the opposite effect: promoting BMD decrease22,23. Therfore, we hypothesized that our HIIT protocol has good potential to be osteogenic because it involves resistance exercise and impact exercises with intermittent stimulus. In addition, several studies demonstrated the effect of HIIT on lipid profile management24,25,26. However, to date, there are conflicting studies on which protocol is most effective in managing the lipid profile27,28.
Different protocols are also able to improve motor function in neurodegenerative disease such as 11 weeks of resistance training improves motor function in subjects with Parkinson's disease6 and Lactate Threshold Training does the same in MS1. However, if HITT is compared with moderate continuous aerobic training and resistance training it induced the largest gains in physical function in healthy people29. Therefore, HIIT training has nearly the same potential effect as aerobic training on lipid profile management but it seems to have the largest effect on physical function and because of the characteristics of this stimulus it is potentially more functional for bone health.
Indeed, HIIT is typically achieved through the use of intervals30 and can be broadly defined as repeated bouts of exercise of short to moderate duration, which can range from 10 s to 5 min, completed at an intensity above the anaerobic threshold. Exercise bouts are interspersed with short periods of low-intensity work or inactivity that allow for partial but often incomplete recovery30. The goal of HIIT is to significantly increase the physiological systems that will be employed in comparison to what is necessary during the activity during a specific exercise of the endurance type31 to a significant extent compared to that required during the activity. Thus, the primary aim of our study is to investigate, for the first time, the effects of HIIT on bone remodeling. The second objective is to confirm or disprove the positive effects of a HIIT protocol on lipid management and physical function to understand the overall effectiveness of this protocol in symptom management of Relapsing–remitting MS patients with a minimal sign to Mild disability in a functional system.
Materials and methods
Study design
This study was a randomized controlled trial. It was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of The Palermo 1, decree N 7/2016 Policlinico Giaccone Hospital, Palermo, Italy. Written informed consent was obtained from participants before starting the study. Participants were recruited from the patient’s list of the Multiple Sclerosis Center of the Neurology Unit of the "Paolo Giaccone" University Hospital, which included a cohort of 130 subjects with a diagnosis of MS in observance of the McDonald's criteria revisions32. Only 30 patients from the patient’s list met the inclusion criteria. Of the 30 subjects who met the inclusion criteria, 16 subjects were available to participate in the study. The neurological and physical functions were performed on two different days and repeated at the end of the study after 8 weeks, always on two different days. After the first neurological analysis, the 16 participants were randomly assigned to two groups: 8 participants constituted the control group (CG) and 8 participants—the exercise group (EG). A Stratified Randomization33 with the sex of the participants considered as a stratification factor was used for randomization process. Breifly, the numbers indicating the order in the patient list by the 16 participants included represented the identifying number for each participant; they were written on separate pieces of paper and folded. The women's numbers (10) and the men's numbers (6) were placed inside two different boxes. After all participants have been assigned into blocks, simple randomization occurs: the first 5 numbers drawn from the women's group and the first 3 from the men's group would be part of the EG. The remaining numbers for both stratified groups would have been part of the CG. All participants performed the assessments before and after 8 weeks of the study. Figure 1 graphically describes the study design.
Participants
The participants included in the study met the following inclusion criteria:
-
Age range 20–55 years;
-
Absence of clinical relapses in the 12 months preceding the study;
-
Total Expanded Disability Status Scale (EDSS) score ranged between 1.5 and 3.5;
-
Absence of concomitant diseases;
-
MS diagnosed according to the McDonald criteria.
The participants were excluded from both the EG and the CG, if during the 8 weeks they had suffered relapses; if during the same period they had encountered comorbidities such as pathologies of the cardiovascular system, epilepsy, carcinomas, bone or muscle injuries; if they had changed their daily habits in diet or physical or work activity. Furthermore, to be included in the data analysis, the participants of the EG had to be present at more than 60% of the scheduled training sessions. An attendance register was filled in for the duration of the study. Regarding the clinical conditions, all patients had a relapsing–remitting MS with minimal to mild disability in a functional system. All subjects walked independently and were able to perform all proposed motor tests without the aid of any support. The EG performed the HIIT protocol during the 8-week training period and they had a mean score on the EDSS scale of 1.19 ± 0.59. The CG didn’t change their daily life habits (e.g. no scheduled exercise, no specific diet, etc.) during the same 8 weeks and they had a mean score on the EDSS scale of 1.75 ± 0.60. All participants didn’t perform any type of scheduled workout for at least one year before the study.
Physical function and anthropometry characteristics assessments
Physical function and anthropometry assessments were performed at the Sport and Exercise Unit laboratory of the University of Palermo (via Giovanni Pascoli, 6, 90,144, Palermo, Italy) between 8 and 10 in the morning. The subjects were asked to fast for at least three hours to adequately detect their weight and standardize the caloric intake available to perform the tests. Before starting the Physical function assessment, personal information was requested, including age, and the weight was measured using the body composition analyzer “InBody320” (InBodyUSA, Cerritos, CA) scale and the height was measured using a wall-mounted stadiometer. All assessments were performed before the start of the exercise period protocol (T0) and at the end of the 8 weeks of training (T1). At of the T0 assessment, EG participants received a heart rate monitor (“Polar Vantage V2”; Polar Electro Oy, Kempele, Finland) to record the HR variation during the workout the . The EG participants were instructed how to record the data and were reminded to do it at the beginning of each workout. In addition, at the end of the physical function evaluation session, all subjects were showed the exercises of the three weekly sessions and emphasized any frequent errors.
Physical function was assessed through the following standardized tests:
-
Timed up-and-go test (TUG): standardized test that allows to measure the level of functional mobility of the lower limbs and dynamic balance34. It has been shown that this test is indicative of neuromotor alterations as elderly subjects or those with neurodegenerative diseases appear to have scores below average35. The time in seconds (s) and tenths taken by the participant to get up from a chair without the aid of the upper limbs, walk 3 m, turn around, return to the chair, and sit down again was recorded with a digital stopwatch for each participant. After the explanation, the subject carried out a familiarization test immediately after the actual test during which the time was measured and used for the statistical analysis.
-
Eye-hand reaction test: allows to evaluate reaction times as it records the time interval between the presentation of a visual stimulus and the execution of the response36. The participant was seated in a chair with the dominant limb positioned on the table in front where the computer was positioned. The arm and forearm had a 90° angle and the index finger rested on the response button located in the center of the computer. The subject had to press the button with the dominant limb once the light on the screen changed from red to green. The test involves the response to five stimuli, the software (https://faculty.washington.edu/chudler/java/redgreen.html) automatically shows the 5 results in s and calculates the average. The average value for each subject was taken into consideration for data analysis.
-
Flamingo test: allows to measure the static monopodal balance. Participants were asked to stand on one leg, with the other leg flexed at knee height with the sole resting in the medial side of the knee of the weight-bearing leg. The arms should be at the sides. Participants must maintain the position for 60 s without shoes. The times the subject touches the ground with the non-weight-bearing foot are counted and the data used for statistical analysis is performed37. The test was performed one time on each side.
-
Wall squat test: evaluates the isometric strength and functionality of the lower limbs. Participants had to maintain the squat position as long as possible, and time in s was recorded until the subject indicated the stop sign38. The standardized position was a 90° angle between leg and thigh, the back leaning against the wall. The test was performed once after proving the right position.
-
Handgrip test: measures the maximum strength of the hand and forearm muscles using a digital dynamometer39. The subject sitting in a chair grasped the handle while maintaining a 90° angle between the arm and forearm. Then, the participant pushed the handle as hard as possible, maintaining the grip for 3 s. The test was repeated three times for each limb, one minute rest was taken between the three measurements of the same hand.40 The best result of the three tests for each limb was taken into account for statistical analysis. The force delivered was expressed in kg. Kern Map 80K1 (Kern® Kern & Sohn GmbH, Balingen, Germany) was used for the analysis.
Training protocol
The patients from the EG exercised three times a week (Monday, Wednesday, and Friday), for 30 min per session for 8 weeks. An online live training conducted on the Google meeting platform was performed. An expert kinesiologist who managed the execution, the sequence, and the timing of the exercises was present at each training session and two of the co-authors (A.A. and A.A.) were supervising each session. On the first day of the training the exact camera position of each subject was ascertained by supervisors.
The protocol has been divided into three phases:
-
Warm up;
-
Work out;
-
Cool down.
In the EG the warm-up and cool-down exercises (5 min each), were the same for all three weekly sessions and the participants performed joint mobility exercises (cervical, scapulohumeral, trunk, hip, knee, and ankle respectively) and stretching of the muscular structures in the aforementioned joint areas, in particular of the areas most involved in the training phase. The work out phase trained respectively the upper limbs (biceps and triceps brachii, deltoid, etc.), the lower limbs (quadriceps, hamstrings, gastrocnemius, soleus, etc.) and a combination of both for a total body workout in the three days. Overall, the sessions were carried out free-body with the help of small support (a chair, a table, or a bench), and the exercises were performed on a circuit where the intensity ranged from 65% HR during the active rest (30’’) to 85% during the exercise (30’’). The exercise intensity was calculated based on Age-Predicted Maximal Heart Rate41,42,43, collected with heart rate monitor previously described. Specifically, exercises performed during the central phase of the workout are illustrated in the table below (Table 1).
Bone and lipid markers analysis
The blood samples were taken in a fasting state two times at T0 and T1. Each blood sample was collected in special tubes to obtain serum. The tube did not contain an anticoagulant but contained a clot activator and serum separator gel.
Samples were centrifuged at 1300 × g for 15 min for fractionation of the samples at room temperature to obtain serum. The fresh serum was used to measure the following chemical markers using automated procedures according to standard commercially available assays supplied by Roche Diagnostics performed on the Roche COBAS c503. Triglycerides (TG), total cholesterol, cholesterol LDL, and cholesterol HDL were measured by colorimetric assay. As previously reported44,45, the samples were analyzed for the marker of bone resorption C-terminal telopeptide (β-CrossLaps), the marker of bone formation osteocalcin, the parathyroid hormone (PTH), and Vitamin D as markers of bone metabolism. Blood sample analysis was performed at the central laboratory analysis at the University of Palermo, Palermo, Italy.
Statistical analysis
The normality distribution was verified using the Shapiro–Wilk test. Following the results of the normality check, to test the differences between T0 and T1 the Student’s t-test for paired data was performed. The results are expressed as mean and standard deviation. The p-value was considered significant for values < 0.05. JAMOVI Software (Version 2.3) was used for all statistical analyses (The Jamovi project (2022), retrieved from https://www.jamovi.org).
Informed consent
The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of The Palermo 1, decree N 7/2016 Policlinico Giaccone Hospital, Palermo, Italy.
Results
The compliance for both the control and exercise groups was 100%. All sixteen participants took part in all phases of the study planned for each group and were included in the data analysis. The adherence of EG to the 8 weeks of training was 71.54% of scheduled sessions. The anthropometric characteristics of the subjects were the following: CG, age: 34.88 ± 4.45 years; height: 168.25 ± 8.66 cm; weight: 72.31 ± 17.28 kg and the EG, age: 36.20 ± 7.80 years; height: 170.40 ± 11.96 cm; weight: 72.70 ± 16.69 kg.
Lipid profile markers
The hematological parameters assessment indicated a significant reduction of the lipid profile after 8 weeks of training in the EG. Particularly, the total cholesterol decreased from 187.22 ± 15.73 mg/dl to 173.44 ± 13.03 mg/dl, p < 0.045 and the LDL cholesterol level decreased from 108 ± 21.08 mg/dl to 95.02 ± 17.99 mg/dl, p < 0.022. No significant alterations were detected in the CG after 8 weeks. HDL cholesterol levels significantly decreased only in the CG (T0, 27.63 ± 7.50 mg/dl; T1, 18.13 ± 5.08 mg/dl), (Table 2).
Bone metabolism and turnover markers
In the CG, there were significant changes in markers of bone remodeling after 8 weeks of study protocol compared to baseline. The concentrations of β-CrossLaps in CG increased (0.22 ± 0.08 vs 0.29 ± 0.15 µg/L, p < 0.041), while the levels remained unchanged in the EG. Concerning the bone formation markers osteocalcin, an opposite effect was found. Indeed, it decreased significantly in the CG (17 ± 6.16 vs 14.50 ± 5.12 µg/L, p < 0.017), while it increased in the EG (20.88 ± 4.22 vs 23.66 ± 6.24 µg/L, p < 0.025). As for PTH levels, they showed a significant reduction only in the CG (17.12 ± 9.94 vs 4.52 ± 0.56 ng/L, p < 0.007), while it remained unchanged in the EG. Significant change was found in vitamin D levels in the EG. The values varied from 21.11 ± 7.11 to 27.66 ± 7.59 µg/L, p < 0.043. Table 2 showed Lipid profile, bone metabolism, and turnover markers results as mean and standard deviation.
Physical function assessment
The changes (mean and standard deviation) in the motor and coordination evaluation tests performed after the 8-week training period, are shown in Table 3. A significant improvement was observed in the EG for the timed up-and-go test (s) (T0 7.65 ± 0.43; T1 6.34 ± 0.38; p = 0.01) while the CG increased significantly the time needed to perform TUG after 8 weeks of the training (T0, 9.07 ± 0.55; T1, 10.96 ± 0.85; p = 0.003). In addition, EG also improved the performance of the wall squat test (s) (T0, 27.18 ± 4.21 vs T1, 41.68 ± 5.38, p < 0.002). There was no statistically significant change in the same test for the CG.
Discussion
HIIT is efficacious in improving fitness levels and is safe in people with MS18. However, so far, the efficacy of HIIT training in affecting metabolic parameters has not been investigated in this population. The present study showed that 8 weeks of HIIT increased the Osteocalcin (p < 0.05) and 25-OH Vitamin D (µg/L) (p < 0.05) levels and decreased the total CHOL (mg/dl) (p < 0.05) and LDL (mg/dl) (p < 0.05) levels in MS population. In addition, this training protocol improved the performance of the TUG (p < 0.01) and the wall squat (p < 0.01) tests.
Previous studies have demonstrated increased levels of osteocalcin and vitamin D3 in a healthy population following 8 weeks of HIIT, confirming our results46. However, the training protocol by Lu et al. involved healthy participants who performed only running on the treadmill (therefore no resistance exercise) during which the various intensities were interspersed. However, it is well known that to obtain an effective osteogenic stimulus, the succession of exercises must include resistance exercises directly involving all body segments. Resistance training results in an increase in site-specific bone density and is potentially the most effective type of exercise on bone mineral density (BMD) if performed for at least 3 sessions per week47 associated with “high impact/ground reaction” stimuli, another key factor in stimulating bone formation activities48. Thus, starting from the principles of the osteogenic potential of physical activity, to pursue our study’s aim, our protocol deviates from Lu's by showing that the same effects can be achieved with potentially more effective exercises for bone remodeling, taking the metabolic power of HIIT and in less time (45 min for one session46 versus 30 min total in our session). We have previously demonstrated the effect of exercise on the osteocalcin marker, but its increase was following classical resistance training (90 min per session) also in subjects with neurodegenerative diseases6. Demonstrating that HIIT could have a better or equal effect could be useful as one could achieve the same results but in a shorter time. Time is a key element in the daily management of subjects with MS but also of their caregivers. In addition, osteocalcin was significantly reduced in the sedentary group and these underlying osteocalcin level management are affected by the training period.
Vitamin D deficiency is characteristic of neurodegenerative diseases, including MS. Reduced Vitamin D levels are linked with bone resorption because it plays an essential role in calcium metabolism49. The neuroprotective role of vitamin D have already been demonstrated50. In our study, for the first time participants with MS starting from below-average vitamin D3 levels significantly increased their levels as a result of this exercise. In addition, β-CrossLaps, the serum marker of bone resorption, was increased and the PTH levels were significantly reduced only in the CG. The mechanism behind the reduction of PTH secretion in the sedentary group is unknown. However, consideringof the central role of PTH in regulating bone metabolism51, this result suggests that in the sedentary group, there is an altered PTH metabolism which negatively affects bone remodeling. These two results support our thesis about the effect of HIIT on bone metabolism.
One of the possible mechanisms that explains the effect of HIIT on bone metabolism is the production of lactate that occurs during this training. Indeed, it's shown that lactate mediates the bone anabolic effect of HIIT in osteoporosis, which results from enhanced osteoblast differentiation and mineralization52.
HIIT training in MS patients ameliorated strength, particularly referring to lower limb function. The wall squat test assesses the isometric strength of the lower limbs giving information relevant to the functionality of the muscles of the hips and thighs, key muscle districts in balance maintenance strategies53. Our results are in agreement with past studies that have already demonstrated the effect of HIIT training on lower limb strength54,55. Zaenker et al. showed that 12 weeks of HIIT improved strength in MS. However, they performed an isokinetic test to analyze lower limb strength improvement but for our study’s aim, we chose to evaluate the strength improvement with a standardized functionality test for this population.
The TUG has highly reliable gait and balance tests in individuals with MS56,57 it gives the important information on static and dynamic balance control during walking ability often impaired in individuals with neurodegenerative diseases58,59. Manca et al. showed that 6 weeks of HIIT improved TUG performance in MS patients54. However, their training involved just the lower limb stimulation, and the exercises were performed under a load. The simultaneous improvement in walking performance and wall squat test may be attributed to the intervention because of the increased strength of stabilizing muscles such as those of the hip and thigh influence.
It is known that lipid metabolic pathways are crucial in MS patients for the process of remyelination. Elevated LDL serum levels were correlated with negative progression of the disease60,61. HIIT training by reducing total cholesterol and LDL may act in slowing disease progression by preserving lipid metabolism.
While the exact mechanisms underlying the effect of exercise on the lipoprotein profile are unclear, it is known that exercise improves the ability of skeletal muscles to utilize lipids62. HIIT initially causes a decrease in adenosine triphosphate (ATP) reserves followed by a decrease in glycogen reserves through the anaerobic glycolysis63. HIIT is characterized by an intensity of the workout above the anaerobic threshold and the variations between intensities inducing adaptation of metabolic processes, such as aerobic capacity64 and insulin sensitivity65 of exercised muscle groups that can improve fat metabolism.
Following our results, Van Ryckeghem et al. Showed an improvement in lipid profile, particularly in total cholesterol levels, following 24 weeks of HIIT in subjects with type 2 diabetes mellitus25. They used a protocol similar to ours in intensity and session duration performing 1-min high-intensity exercise at 85% VO2peak with a 4-min low-intensity exercise at 60% VO2peak, 30 min total each session. Moreover, even in this study, HDL levels did not change thus assuming a direct effect of HIIT selectively on “bad” cholesterol.
Similar results were achieved by Mitranun et al. who showed a decrease in total cholesterol (p < 0.05) and LDL (p < 0.05) after 12 weeks of HIIT and showed that this variation was only in the HIIT group when compared with a sedentary group and continuous training26.
The results were also confirmed by a systematic review affirming the effectiveness of HIIT, compared with other workouts, in managing lipid profiles in this population66.
Instead, Jorissen et al. contrast our study, demonstrating that comparing HIIT training to medium-intensity continuous training, the latter has a greater effect on the lipid profile of MS participants67. The authors justified the result with the greater work volume of medium-intensity continuous training which seemed to influence the lipid profile in more extend. However, there are conflicting studies on the effect of other types of training on lipid profile. For example, while Mandrup et al. demonstrated that continuous high-intensity training-induced reduction in LDL-C, total cholesterol, and total cholesterol/HDL-C index24, the STRRIDE68 and the American Heart Association69 states that there is no effect of moderate or vigorous continuous exercise on LDL-C6 concentrations. This indicates that, while there seem to be differing opinions on the effects of various exercise modalities on lipid profile, HIIT seems to have more homogeneous results and thus should be the recommended protocol for the best management of lipid profile.
In addition, EG participants in our study fluctuated between 3 and 4 heart rate zones70 during the training that, in the ACSM guidelines, the intensity classification of physical activity corresponds to a range between moderate (64% to 76% of maximal heart rate) and vigorous (85% and above of maximal heart rate)71, being adequate to cause the effects just described. High-intensity interval training guidelines include a variation between high-intensity and light-moderate intervals, where recovery periods can last as long as work periods for a total per session that should be between 20–60 min72,73.It is important to underline that multiple aspects beyond training such as possible underlying inflammatory processes in MS patients could easily influence their lipoprotein profile.
Conclusion
In conclusion, no adverse events occurred during the training. HIIT training confirmed to be an effective and safe training method for subjects with multiple sclerosis. In addition, the study showed for the first time the effectiveness of HIIT on bone remodelling, lipid profile, and functionality of lower limbs in MS patients and suggests that HIIT training could be used to preserve bone status and slow the occurrence of osteoporosis. It also seems to be a good tool for maintaining a healthy lipid metabolism.
Limitations and future perspectives
This study has several limitations. First, stratified randomization created an unequal distribution of baseline values in the two groups. In addition, online live training was conducted. While the effectiveness of the training conducted online on healthy adults during the COVID-19 pandemic state was experinced74,75 and this might be a positive aspect of time and space management, this method affected the socialization of the group and the ability of the kinesiologists to catch any errors in the execution of the exercises due to interruptions in the internet connection or poor framing. Moreover, considering the relevance of these preliminary results, additional studies are needed with larger sample sizes and longer intervention periods. In addition, since we do not plan for follow-up, we do not know the permanence of these effects. This could be a direction for future studies.
References
Amato, A. et al. Lactate threshold training program on patients with multiple sclerosis: A multidisciplinary approach. Nutrients https://doi.org/10.3390/nu13124284 (2021).
Olsson, T., Barcellos, L. F. & Alfredsson, L. Interactions between genetic, lifestyle and environmental risk factors for multiple sclerosis. Nat. Rev. Neurol. 13, 25–36 (2017).
Pineda-Torra, I., Siddique, S., Waddington, K. E., Farrell, R. & Jury, E. C. Disrupted lipid metabolism in multiple sclerosis: A role for liver x receptors?. Front. Endocrinol. Lausanne 12, 639757. https://doi.org/10.3389/fendo.2021.639757 (2021).
Zhornitsky, S., McKay, K. A., Metz, L. M., Teunissen, C. E. & Rangachari, M. Cholesterol and markers of cholesterol turnover in multiple sclerosis: Relationship with disease outcomes. Mult. Scler Relat. Disord. 5, 53–65. https://doi.org/10.1016/j.msard.2015.10.005 (2016).
Vaidya, B., Dhamija, K., Guru, P. & Sharma, S. S. Parkinson’s disease in women: Mechanisms underlying sex differences. Eur. J. Pharmacol. 895, 173862. https://doi.org/10.1016/j.ejphar.2021.173862 (2021).
Amato, A. et al. Effects of a resistance training protocol on physical performance, body composition, bone metabolism, and systemic homeostasis in patients diagnosed with Parkinson’s disease: A pilot study. Int. J. Environ. Res. Public Health https://doi.org/10.3390/ijerph192013022 (2022).
Prenger, M. T. M., Madray, R., Van Hedger, K., Anello, M. & MacDonald, P. A. Social symptoms of Parkinson’s disease. Parkinsons Dis. 2020, 8846544. https://doi.org/10.1155/2020/8846544 (2020).
Terzi, T., Terzi, M., Tander, B., Canturk, F. & Onar, M. Changes in bone mineral density and bone metabolism markers in premenopausal women with multiple sclerosis and the relationship to clinical variables. J. Clin. Neurosci. 17, 1260–1264. https://doi.org/10.1016/j.jocn.2010.01.044 (2010).
Kampman, M. T., Eriksen, E. F. & Holmøy, T. Multiple sclerosis, a cause of secondary osteoporosis? What is the evidence and what are the clinical implications?. Acta Neurol. Scand. Suppl. https://doi.org/10.1111/j.1600-0404.2011.01543.x (2011).
Gupta, S. et al. Osteoporosis and multiple sclerosis: risk factors, pathophysiology, and therapeutic interventions. CNS Drugs 28, 731–742. https://doi.org/10.1007/s40263-014-0173-3 (2014).
Kepczynska, K., Zajda, M., Lewandowski, Z., Przedlacki, J. & Zakrzewska-Pniewska, B. Bone metabolism and vitamin D status in patients with multiple sclerosis. Neurol. Neurochir. Pol. 50, 251–257. https://doi.org/10.1016/j.pjnns.2016.04.010 (2016).
Dovio, A. et al. Immediate fall of bone formation and transient increase of bone resorption in the course of high-dose, short-term glucocorticoid therapy in young patients with multiple sclerosis. J. Clin. Endocrinol. Metab 89, 4923–4928. https://doi.org/10.1210/jc.2004-0164 (2004).
Thyfault, J. P. & Bergouignan, A. Exercise and metabolic health: beyond skeletal muscle. Diabetologia 63, 1464–1474. https://doi.org/10.1007/s00125-020-05177-6 (2020).
Heine, M., vandePort, I., Rietberg, M. B., vanWegen, E. E., Kwakkel, G. Exercise therapy for fatigue in multiple sclerosis. Cochrane Database Syst. Rev. 2015. https://doi.org/10.1002/14651858.CD009956.pub2 (2015).
Contrò, V. et al. Multiple sclerosis: physical activity and well-being. (2017).
Amato, A. et al. Taopatch® combined with home-based training protocol to prevent sedentary lifestyle and biochemical changes in MS patients during COVID-19 pandemic. Eur. J. Transl. Myol. https://doi.org/10.4081/ejtm.2021.9877 (2021).
Mokhtarzade, M. et al. Exercise-induced changes in neurotrophic factors and markers of blood-brain barrier permeability are moderated by weight status in multiple sclerosis. Neuropeptides 70, 93–100. https://doi.org/10.1016/j.npep.2018.05.010 (2018).
Campbell, E., Coulter, E. H. & Paul, L. High intensity interval training for people with multiple sclerosis: A systematic review. Mult. Scler Relat. Disord. 24, 55–63. https://doi.org/10.1016/j.msard.2018.06.005 (2018).
Dalgas, U., Stenager, E. & Ingemann-Hansen, T. Multiple sclerosis and physical exercise: Recommendations for the application of resistance-, endurance- and combined training. Mult. Scler 14, 35–53. https://doi.org/10.1177/1352458507079445 (2008).
Fuchs, R. K., Bauer, J. J. & Snow, C. M. Jumping improves hip and lumbar spine bone mass in prepubescent children: A randomized controlled trial. J. Bone Miner Res. 16, 148–156. https://doi.org/10.1359/jbmr.2001.16.1.148 (2001).
Amato, A., Baldassano, S., Cortis, C., Cooper, J. & Proia, P. Physical activity, nutrition, and bone health. Hum Move. 19, 1–10. https://doi.org/10.5114/hm.2018.77318 (2018).
Haakonssen, E. C. et al. The effects of a calcium-rich pre-exercise meal on biomarkers of calcium homeostasis in competitive female cyclists: a randomised crossover trial. PLoS One 10, e0123302. https://doi.org/10.1371/journal.pone.0123302 (2015).
de Sousa, M. V., Pereira, R. M., Fukui, R., Caparbo, V. F. & da Silva, M. E. Carbohydrate beverages attenuate bone resorption markers in elite runners. Metabolism 63, 1536–1541. https://doi.org/10.1016/j.metabol.2014.08.011 (2014).
Mandrup, C. M. et al. Effects of high-intensity training on cardiovascular risk factors in premenopausal and postmenopausal women. Am. J. Obstet. Gynecol. 216(384), e381-384.e311. https://doi.org/10.1016/j.ajog.2016.12.017 (2017).
VanRyckeghem, L. et al. Impact of continuous vs. interval training on oxygen extraction and cardiac function during exercise in type 2 diabetes mellitus. Eur. J. Appl. Physiol. 122, 875–887. https://doi.org/10.1007/s00421-022-04884-9 (2022).
Mitranun, W., Deerochanawong, C., Tanaka, H. & Suksom, D. Continuous vs interval training on glycemic control and macro- and microvascular reactivity in type 2 diabetic patients. Scand. J. Med. Sci. Sports 24, e69-76. https://doi.org/10.1111/sms.12112 (2014).
Elmer, D. J., Laird, R. H., Barberio, M. D. & Pascoe, D. D. Inflammatory, lipid, and body composition responses to interval training or moderate aerobic training. Eur. J. Appl. Physiol. 116, 601–609. https://doi.org/10.1007/s00421-015-3308-4 (2016).
Romero Moraleda, B. et al. Can the exercise mode determine lipid profile improvements in obese patients?. Nutr. Hosp. 28, 607–617. https://doi.org/10.3305/nh.2013.28.3.6284 (2013).
Coetsee, C. & Terblanche, E. The effect of three different exercise training modalities on cognitive and physical function in a healthy older population. Eur. Rev. Aging Phys. Act. 14, 13. https://doi.org/10.1186/s11556-017-0183-5 (2017).
Laursen, P. B. & Jenkins, D. G. The scientific basis for high-intensity interval training: optimising training programmes and maximising performance in highly trained endurance athletes. Sports Med. 32, 53–73. https://doi.org/10.2165/00007256-200232010-00003 (2002).
Daniels, J. & Scardina, N. Interval training and performance. Sports Med. 1, 327–334 (1984).
Tolahunase, M. R., Sagar, R. & Dada, R. 5-HTTLPR and MTHFR 677C> T polymorphisms and response to yoga-based lifestyle intervention in major depressive disorder: A randomized active-controlled trial. Indian J. Psychiat. 60, 410 (2018).
Kang, M., Ragan, B. G. & Park, J. H. Issues in outcomes research: an overview of randomization techniques for clinical trials. J. Athl. Train 43, 215–221. https://doi.org/10.4085/1062-6050-43.2.215 (2008).
Podsiadlo, D. & Richardson, S. The timed “Up & Go”: a test of basic functional mobility for frail elderly persons. J. Am. Geriat. Soc. 39, 142–148 (1991).
Bohannon, R. W. Reference values for the timed up and go test: a descriptive meta-analysis. J. Geriatr. Phys. Ther. 29, 64–68. https://doi.org/10.1519/00139143-200608000-00004 (2006).
Nygaard, G. O. et al. Eye and hand motor interactions with the symbol digit modalities test in early multiple sclerosis. Multiple Scler. Relat. Disord. 4, 585–589 (2015).
Uzunkulaoğlu, A., Yıldırım, İB., Aytekin, M. G. & Ay, S. Effect of flamingo exercises on balance in patients with balance impairment due to senile osteoarthritis. Arch. Gerontol. Geriat. 81, 48–52 (2019).
Lea, J. W., O’Driscoll, J. M., Coleman, D. A. & Wiles, J. D. Validity and reliability of the ‘Isometric Exercise Scale’(IES) for measuring ratings of perceived exertion during continuous isometric exercise. Sci. Rep. 11, 5334 (2021).
Bobos, P., Nazari, G., Lu, Z. & MacDermid, J. C. Measurement properties of the hand grip strength assessment: a systematic review with meta-analysis. Arch. Phys. Med. Rehabil. 101, 553–565 (2020).
Watanabe, T. et al. The short-term reliability of grip strength measurement and the effects of posture and grip span. J. Hand. Surg. Am. 30, 603–609. https://doi.org/10.1016/j.jhsa.2004.12.007 (2005).
Han, S. H. et al. Is age-predicted maximal heart rate applicable in patients with heart or lung disease?. Ann. Rehabil. Med. 46, 133–141. https://doi.org/10.5535/arm.21181 (2022).
Fox, S. M. 3rd., Naughton, J. P. & Haskell, W. L. Physical activity and the prevention of coronary heart disease. Ann. Clin. Res. 3, 404–432 (1971).
Sporis, G. et al. How reliable are the equations for predicting maximal heart rate values in military personnel?. Mil. Med. 176, 347–351. https://doi.org/10.7205/milmed-d-10-00189 (2011).
Vasto, S. et al. The role of consumption of molybdenum biofortified crops in bone homeostasis and healthy aging. Nutrients https://doi.org/10.3390/nu15041022 (2023).
Vasto, S. A. A., Proia, P., Caldarella, R., Cortis, C. & Baldassano, S. Dare to jump: The effect of new high impact activity superjump on bone remodeling A new tool to be fit during COVID-19 home confinement. Biol. Sport 39, 1011–1019. https://doi.org/10.5114/biolsport.2022.108993 (2022).
Lu, M. et al. Effects of 8-week high-intensity interval training and moderate-intensity continuous training on bone metabolism in sedentary young females. J. Exerc. Sci. Fit 20, 77–83. https://doi.org/10.1016/j.jesf.2022.01.001 (2022).
Benedetti, M. G., Furlini, G., Zati, A. & Letizia Mauro, G. The effectiveness of physical exercise on bone density in osteoporotic patients. Biomed. Res. Int. 2018, 4840531. https://doi.org/10.1155/2018/4840531 (2018).
Gunter, K. et al. Impact exercise increases BMC during growth: an 8-year longitudinal study. J. Bone Miner. Res. 23, 986–993. https://doi.org/10.1359/jbmr.071201 (2008).
Bhattarai, H. K., Shrestha, S., Rokka, K. & Shakya, R. Vitamin D, calcium, parathyroid hormone, and sex steroids in bone health and effects of aging. J. Osteoporos. 2020, 9324505. https://doi.org/10.1155/2020/9324505 (2020).
Wang, W., Li, Y. & Meng, X. Vitamin D and neurodegenerative diseases. Heliyon 9, e12877. https://doi.org/10.1016/j.heliyon.2023.e12877 (2023).
Lombardi, G., Ziemann, E., Banfi, G. & Corbetta, S. Physical activity-dependent regulation of parathyroid hormone and calcium-phosphorous metabolism. Int. J. Mol. Sci. https://doi.org/10.3390/ijms21155388 (2020).
Zhu, Z. et al. Lactate mediates the bone anabolic effect of high-intensity interval training by inducing osteoblast differentiation. J. Bone Joint Surg. Am. 105, 369–379. https://doi.org/10.2106/jbjs.22.01028 (2023).
Han, H. R. et al. Comparative effects of 4 single-leg squat exercises in subjects with gluteus medius weakness. J. Sport Rehabil. 27, 513–519. https://doi.org/10.1123/jsr.2016-0193 (2018).
Manca, A. et al. Time course of strength adaptations following high-intensity resistance training in individuals with multiple sclerosis. Eur. J. Appl. Physiol. 117, 731–743. https://doi.org/10.1007/s00421-017-3534-z (2017).
Zaenker, P. et al. High-intensity interval training combined with resistance training improves physiological capacities, strength and quality of life in multiple sclerosis patients: a pilot study. Eur. J. Phys. Rehabil. Med. 54, 58–67. https://doi.org/10.23736/s1973-9087.17.04637-8 (2018).
Nilsagard, Y., Lundholm, C., Gunnarsson, L. G. & Dcnison, E. Clinical relevance using timed walk tests and “timed up and go” testing in persons with multiple sclerosis. Physiother. Res. Int. 12, 105–114. https://doi.org/10.1002/pri.358 (2007).
Goldman, M. D., Marrie, R. A. & Cohen, J. A. Evaluation of the six-minute walk in multiple sclerosis subjects and healthy controls. Mult. Scler 14, 383–390. https://doi.org/10.1177/1352458507082607 (2008).
Podsiadlo, D. & Richardson, S. The timed “Up & Go”: a test of basic functional mobility for frail elderly persons. J. Am. Geriatr. Soc. 39, 142–148. https://doi.org/10.1111/j.1532-5415.1991.tb01616.x (1991).
Yim-Chiplis, P. K. & Talbot, L. A. Defining and measuring balance in adults. Biol. Res. Nurs. 1, 321–331. https://doi.org/10.1177/109980040000100408 (2000).
Weinstock-Guttman, B. et al. Lipid profiles are associated with lesion formation over 24 months in interferon-β treated patients following the first demyelinating event. J. Neurol. Neurosurg. Psychiat. 84, 1186–1191. https://doi.org/10.1136/jnnp-2012-304740 (2013).
Uher, T. et al. Serum lipid profile changes predict neurodegeneration in interferon-β1a-treated multiple sclerosis patients. J. Lipid Res. 58, 403–411. https://doi.org/10.1194/jlr.M072751 (2017).
Earnest, C. P. et al. Maximal estimated cardiorespiratory fitness, cardiometabolic risk factors, and metabolic syndrome in the aerobics center longitudinal study. Mayo Clin. Proc. 88, 259–270. https://doi.org/10.1016/j.mayocp.2012.11.006 (2013).
Burgomaster, K. A., Heigenhauser, G. J. & Gibala, M. J. Effect of short-term sprint interval training on human skeletal muscle carbohydrate metabolism during exercise and time-trial performance. J. Appl. Physiol. 1985(100), 2041–2047. https://doi.org/10.1152/japplphysiol.01220.2005 (2006).
Moro, T. et al. Effects of 6 weeks of traditional resistance training or high intensity interval resistance training on body composition, aerobic power and strength in healthy young subjects: a randomized parallel trial. Int. J. Environ. Res. Public Health https://doi.org/10.3390/ijerph17114093 (2022).
Ryan, B. J. et al. Moderate-intensity exercise and high-intensity interval training affect insulin sensitivity similarly in obese adults. J. Clin. Endocrinol. Metab. 105, e2941-2959. https://doi.org/10.1210/clinem/dgaa345 (2020).
Liu, J. X., Zhu, L., Li, P. J., Li, N. & Xu, Y. B. Effectiveness of high-intensity interval training on glycemic control and cardiorespiratory fitness in patients with type 2 diabetes: a systematic review and meta-analysis. Aging Clin. Exp. Res. 31, 575–593. https://doi.org/10.1007/s40520-018-1012-z (2019).
Jorissen, W. et al. Twelve weeks of medium-intensity exercise therapy affects the lipoprotein profile of multiple sclerosis patients. Int. J. Mol. Sci. https://doi.org/10.3390/ijms19010193 (2018).
Slentz, C. A. et al. Inactivity, exercise training and detraining, and plasma lipoproteins STRRIDE: a randomized, controlled study of exercise intensity and amount. J. Appl. Physiol. 103, 432–442. https://doi.org/10.1152/japplphysiol.01314.2006 (2007).
Lin, X. et al. Effects of exercise training on cardiorespiratory fitness and biomarkers of cardiometabolic health: a systematic review and meta-analysis of randomized controlled trials. J. Am. Heart Assoc. https://doi.org/10.1161/jaha.115.002014 (2015).
Scheid, J. L. & O’Donnell, E. Revisiting heart rate target zones through the lens of wearable technology. ACSM’s Health Fitness J. 23, 21–26 (2019).
Riebe, D., Ehrman, J. K., Liguori, G., Magal, M. & Medicine, A. C. o. S. ACSM's guidelines for exercise testing and prescription. (No Title) (2018).
guidance for prescribing exercise. Garber, C. E. et al. American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults. Med. Sci. Sports Exerc. 43, 1334–1359. https://doi.org/10.1249/MSS.0b013e318213fefb (2011).
Kravitz, L. ACSM information on high-intensity interval training. ACSM’s Consumer Information Committee. Copyright © 2014 American College of Sports Medicine (2014).
Iannaccone, A. et al. Stay home, stay active with superjump®: A home-based activity to prevent sedentary lifestyle during covid-19 outbreak. Sustainability (Switzerland) 12, 1–10. https://doi.org/10.3390/su122310135 (2020).
Baldassano, S. et al. Fighting the consequences of the COVID-19 pandemic: mindfulness, exercise, and nutrition practices to reduce eating disorders and promote sustainability. Sustainability 15, 2120 (2023).
Author information
Authors and Affiliations
Contributions
Conceptualization S.B, P.P; methodology, R.C, G.S. (Giuseppe Schirò), A.A. (Alessandra Amato), S.V; review and editing P.P., S.V., S.B, G.M, R.N and D.K.N; investigation P.R G.S (Giuseppe Schirò), A.P, A.A (Alessandra Amato), C.R., A.A. (Anna Alioto); writing, P.P, S.B; supervision S.B, P.P, project administration P.P. G.S (Giuseppe Salemi). P.R. All authors have read and agreed to the version of the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Amato, A., Proia, P., Alioto, A. et al. High-intensity interval training improves bone remodeling, lipid profile, and physical function in multiple sclerosis patients. Sci Rep 14, 16195 (2024). https://doi.org/10.1038/s41598-024-66448-5
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-024-66448-5
Keywords
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.