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Impairment of respiratory muscle strength in Berardinelli-Seip congenital lipodystrophy subjects



Berardinelli-Seip Congenital Generalized Lipodystrophy (BSCL) is an ultra-rare metabolic disease characterized by hypertriglyceridemia, hyperinsulinemia, hyperglycemia, hypoleptinemia, and diabetes mellitus. Although cardiovascular disturbances have been observed in BSCL patients, there are no studies regarding the Respiratory Muscle Strength (RMS) in this type of lipodystrophy. This study aimed to evaluate RMS in BSCL subjects compared with healthy subjects.


Eleven individuals with BSCL and 11 healthy subjects matched for age and gender were included in this study. The Maximum Inspiratory Pressure (MIP), Maximum Expiratory Pressure (MEP), and Peripheral Muscle Strength (PMS) were measured for three consecutive years. BSCL subjects were compared to healthy individuals for MIP, MEP, and PMS. Correlations between PMS and MIP were also analyzed. The genetic diagnosis was performed, and sociodemographic and anthropometric data were also collected.


BSCL subjects showed significantly lower values for MIP and MEP (p <  0.0001 and p = 0.0002, respectively) in comparison to healthy subjects, but no changes in handgrip strength (p = 0.15). Additionally, we did not observe changes in MIP, MEP, and PMS two years after the first analysis, showing maintenance of respiratory dysfunction in BSCL subjects (p = 0.05; p = 0.45; p = 0.99). PMS and MIP were not correlated in these subjects (r = 0.56; p = 0.18).


BSCL subjects showed lower respiratory muscle strength when compared with healthy subjects; however, PMS was not altered. These findings were maintained at similar levels during the two years of evaluation. Our data reveal the first association of BSCL with the development of respiratory muscle weakness.


Berardinelli-Seip Congenital Lipodystrophy (BSCL) is a rare genetic disease characterized by the absence of adipose tissue that contributes to the impairment of glucose and lipid metabolism [1, 2]. At the metabolic level, BSCL patients present dyslipidemia, hyperinsulinemia, disrupted carbohydrate metabolism, insulin resistance, diabetes mellitus (DM), hepatosplenomegaly, hepatic steatosis, acanthosis nigricans, low levels of leptin and adiponectin, decreased levels of high-density lipoprotein (HDL), and hypertriglyceridemia [2, 3]. The phenotype of BSCL patients is typical, revealing acromegaloid facies, prognathism, prominent musculature, hypertrophic cardiomyopathy, umbilical protrusion, acanthosis nigricans, and other clinical features [1,2,3,4,5].

Worldwide prevalence of BSCL has been estimated in 1:10,000,000 live births, with approximately 500 cases around the world [6, 7]. In Brazil, a high prevalence of BSCL was found in the Rio Grande do Norte (RN) state, in the Northeast region (3 in 100,000), with 103 cases described [7]. Clinical, laboratory and genetic data for BSCL patients from RN were reported by Lima et al. [3]. Genetic data were also reported by Medeiros et al. [7]. Recently, our research group analyzed the leading causes of death in BSCL patients from RN. We found that many of our patients died due to infections, mainly pulmonary [8].

It is well known that maximal respiratory pressure impairment leads to ventilatory inefficiency. Besides the ventilatory importance, inspiratory and expiratory muscles are also important in maintaining upper airway patency [9]. Studies have shown that several chronic conditions may lead to respiratory muscle weakness (RMW). Inspiratory muscle strength is decreased in 30–50% of patients with chronic heart failure [10, 11], and is also associated with autonomic cardiovascular dysfunction in type 2 diabetic patients [12]. Additionally, RMW was also found in type 2 diabetic patients [13]. Considering the metabolic, cardiovascular, and cognitive complications related to BSCL subjects worldwide [5, 14,15,16], the abnormal cardiovascular autonomic modulation shown by BSCL subjects from RN [4, 5], as well as the lack of studies investigating respiratory maximal pressures in these subjects, the aim of this research was to evaluate the respiratory and peripheric muscle strength in BSCL subjects compared to healthy subjects.


Study design and data collection

This cross-sectional and longitudinal study was conducted from November 2015 to December 2017. The size sample was not precisely calculated. Eleven BSCL subjects from Seridó of RN were recruited in 2015 by ASPOSBERN (Associação de Pais e Pessoas com a Síndrome de Berardinelli do Estado do Rio Grande do Norte), a non-profit organization aiming to improve the life quality of BSCL subjects and their families. This organization performs an important role in the management of BSCL subjects diagnosed by qualified physicians and researchers from the Brazilian Research Group for Studies about the Genetics and Morphophysiological Features of Berardinelli-Seip Lipodystrophy [7]. Four BSCL individuals of our study were lost to follow-up: one had died (subject 9) and three did not participate in the 2016 and 2017 data collection (subjects 2, 6, and 11). However, the participant number was considered high since BSCL is an ultra-rare disease with approximately 500 cases described worldwide [3] and the RN state has the highest prevalence documented for this disease [7]. Subjects included in the study participated in a one-day standard physical therapy program during the Annual Meeting of ASPOSBERN held in 2015 to 2017. Inclusion criteria were to be genetically and/or clinically diagnosed with BSCL, to be older than 18 years-old, to be able to understand the tests, and to sign the Written Informed Consent Form (WICF). We excluded subjects who had previously had respiratory diseases or who did not understand how to perform the test. Healthy individuals matched for age and gender were recruited in the Clínica Escola de Fisioterapia, da Faculdade de Ciências da Saúde do Trairi, campus da Universidade Federal do Rio Grande do Norte (UFRN), during February 2016. Inclusion and exclusion criteria were the same as those for BSCL subjects, except for BSCL diagnosis. Table 1 summarizes the clinical, metabolic, and genetic features of BSCL subjects. These data for all BSCL patients from RN were previously described by Lima et al. [3] and Medeiros et al. [7]. Sociodemographic and anthropometrical data were also collected. Participants were also asked about the time after BSCL diagnosis and their practice and weekly frequency of physical activities, according to the International Physical Activity Questionnaire (IPAQ), by using the 8-question short version [17,18,19]. Table 3 summarizes the physical activity profile of BSCL subjects among the three annual evaluations. Some BSCL patients started the use of metreleptin replacement to treat complications of leptin deficiency, such as insulin resistance, diabetes, and/or hypertriglyceridemia. The metreleptin replacement therapy was performed according to Musso and co-workers [20].

Table 1 Clinical and genetic data of BSCL subjects

Biochemical measurements in plasma

The measurement of glucose, triglycerides and total cholesterol was performed following the instructions from the Labtest protocols (Lagoa Santa, Brazil) and LABMAX PLENNO equipment (LABTEST, Lagoa Santa, Brazil) [21]. Glucose was determined by end-point method of glucose oxidase and with the measurement of absorbance in 505 nm. Triglycerides was determined by enzymatic method by end-point and with the measurement of absorbance in 505 nm. Total cholesterol was also determined by enzymatic method by end-point and with the measurement of absorbance in 500 nm.

Maximum respiratory pressure measurement

We assessed respiratory muscle strength by measuring Maximum Inspiratory Pressure (MIP) and Maximum Expiratory Pressure (MEP) using an analogic manuvacuometer (MV 300®, WIKA +/− 300 cmH2O) attached to an unidirectional valve connected to a paper mouthpiece. Subjects were in sitting position with a nose clip in place to prevent nasal air leakage. The MIP and MEP pressures were measured according to American Thoracic Society and European Respiratory Society (ATS/ERS) [22]. The maximal pressure was maintained for at least 1 second, and 3 to 5 maneuvers were performed [23]. Reference values standardized for the studied population were used [24].

We evaluated both respiratory pressures at three time-points: 2015, 2016, and 2017. The respiratory muscle weakness (RMW) state was defined as having MIP and/or MEP values lower than 70% of predictive values, as previously described. Therefore, healthy subjects with predicted values lower than 70% were considered unsuitable and, therefore, were excluded [25,26,27]. Results are shown in percentage of predicted (%) values.

Peripheral muscle strength measurement

Peripheral muscle strength was measured by handgrip dynamometry using a hydraulic dynamometer (Saehan Corporation), which measures the strength of a grip in pounds-force. Compared with Jamar dynamometer, the Saehan hydraulic dynamometer is also a valid and trusty instrument [28].

BSCL and healthy subjects were kept in a seated position and received verbal instructions for completing the assessment. We used the mean of four grip trials as compared to either a single grip trial or the highest reading of four trials. The predicted values for grip strength were measured according to the Brazilian population previously described by Caporrino et al. [29]. Measurements of maximal respiratory pressures and peripheral muscle strength were performed by the same investigator.

Statistical analysis

The data were analyzed using GraphPad Prism software, version 6.0. The Shapiro–Wilk test was used to analyze normality data distribution. Continuous and normally distributed variables are expressed as mean ± standard deviation (SD). Proportions are presented as number (%) for categorical variables. Parametric comparisons between the groups were performed by unpaired T-test. The intragroup analysis was performed by repeated measures ANOVA followed by a Bonferroni post hoc test. To evaluate the correlation between MIP and peripheral muscle strength, Pearson (parametric variables) and Spearman (non-parametric variables) correlation coefficients were used. Associations between categorical variables were analyzed by the chi-square test. Statistical significance was set at p <  0.05.


Eleven BSCL subjects were included in this study. Clinical, metabolic, and genetic data were obtained (Table 1). We found that the majority of BSCL subjects were Type 2, presenting a specific mutation in the BSCL2 gene (325dupA). Only one patient was Type 1 (case 1), presenting the A712T mutation in the AGPAT2 gene. There were no significant differences between BSCL and control subjects for gender, age, height, weight, and BMI (Table 2). Table 3 summarizes the weekly frequency of physical activities according to IPAQ. We found that 63.6% (n = 7) of the BSCL group were classified as irregularly active B to very active, while 36.4% (n = 3) were classified as sedentary. On the other hand, 36.5% of the control group were classified as irregularly active B to very active, while 63.6% were classified as sedentary. These data indicate that in 2015 the BSCL group were more active than the healthy volunteers.

Table 2 Physiological and metabolic data (mean ± SD) of BSCL subjects and healthy volunteers (Control)
Table 3 Physical activity data of BSCL subjects and healthy volunteers (Control)

The BSCL group showed lower MIP and MEP pressures but no changes in handgrip strength. Although BSCL case 8 was a smoker, he presented a similar profile of these variables compared to all BSCL subjects. For this purpose, we decided to maintain case 8 in this research. Controls have shown significantly higher values for MIP and MEP in comparison to BSCL individuals in the first year. No significant difference between the groups was found for grip strength (PMS) (Table 4; Fig. 1).

Table 4 MIP, MEP, and PMS measurements (mean ± SD and [95% confidence interval]) in BSCL subjects and healthy volunteers (Control)
Fig. 1
figure 1

Maximum Inspiratory Pressure (MIP), Maximum Expiratory Pressure (MEP) and peripheral muscle strength (PMS) values of the 11 BSCL patients and healthy subjects at the first year. a MIP, (b) MEP, and (c) PMS indices are expressed as % of predicted values. The results are represented as the mean ± SD. The differences were considered statistically significant when *p < 0.05 using unpaired Student’s t-test

Additionally, even if MIP, MEP, and peripheral muscle strength gradually increased after the first investigation, these variations were not statistically significant among the three evaluations, revealing that BSCL subjects presented maintenance of respiratory dysfunction over the years (Table 5; Fig. 2). To better understand the role of metreleptin in the respiratory and peripheral muscle strength of BSCL subjects, we divided the BSCL subjects according to the use of metreleptin (Table 6 and Fig. 2). The data revealed that the metreleptin replacement did not result in an improvement of MIP, MEP, and peripheral muscle in BSCL subjects. Moreover, we also examined the results of these tests for each BSCL patient separately. As shown in Fig. 3, metreleptin did not improve MIP, MEP, and peripheral muscle strength, since a similar profile was observed for subjects without (7, 8, and 10 - solid black lines) and with (1, 3, 4, and 5 - dashed blue lines) metreleptin replacement.

Table 5 MIP, MEP, and PMS measurements (mean ± SD and [95% confidence interval]) in all BSCL subjects after three evaluations
Fig. 2
figure 2

Maximum Inspiratory Pressure (MIP), Maximum Expiratory Pressure (MEP), and peripheral muscle strength (PMS) values of all BSCL subjects and after stratification according to the use of metreleptin from 2015 to 2017. a MIP, (b) MEP, and (c) PMS indices are expressed as % of predicted values. The results are represented as the mean ± SD. For the analysis of all BSCL subjects, the differences were considered statistically significant when *p < 0.05 using repeated measures ANOVA. For the analysis after stratification according to the use of metreleptin, the differences were considered statistically significant when *p < 0.05 using repeated measures ANOVA for the group without metreleptin and using unpaired Student’s t-test for the group with metreleptin

Table 6 MIP, MEP, and peripheral muscle strength measurements (mean ± SD and [95% confidence interval]) in BSCL subjects without and with metreleptin replacement
Fig. 3
figure 3

Maximum Inspiratory Pressure (MIP), Maximum Expiratory Pressure (MEP), and peripheral muscle strength (PMS) values for each BSCL subject at 2015, 2016, and 2017. a MIP, (b) MEP, and (c) PMS indices are expressed as % of predicted values

Afterward, we investigated the weekly frequency of physical exercise practices among the three evaluations. We observed that 42.8% (n = 3) of BSCL subjects presented the same profile during the 2 years of investigation (Additional file 1: Table S1). Instead, 57.2% (n = 4) showed changes in their physical activity profile, varying from active to sedentary, and irregularly active to sedentary. Even if we consider all BSCL subjects with one of the active profiles in the same group, our data confirm that the BSCL group were more active in 2015 and 2017 (Fig. 4).

Fig. 4
figure 4

Profile of physical exercise practices of BSCL subjects from 2015 to 2017 according to IPAQ classification. The results are represented as %. The differences were considered statistically significant when *p < 0.05 using two-way ANOVA with multiple comparisons (Bonferroni post hoc test)

In addition, we found that grip strength and MIP were not correlated in these subjects (Additional file 2: Figure S1). We also investigated whether the respiratory and peripheral muscle strength were correlated with the metabolic variables assessed in this study. We found that the tests used to study the respiratory and peripheral strength did not present an association with age, BMI, glucose, triglycerides, and total cholesterol (Additional file 1: Table S2).


In this study, we showed a decrease in the maximum static respiratory pressures of subjects with BSCL. This condition was not modified after 2 years as indicated by the maintenance of the low levels of MIP and MEP observed from 2015 to 2017. No changes were observed in the peripheral muscle strength of those subjects. To our knowledge, this is the first study that verified respiratory and peripheral muscle strength in this population.

Several studies showed a decrease in static respiratory pressures in patients with metabolic, renal, and cardiovascular complications [30,31,32,33], findings that were also described in BSCL patients [3,4,5, 16, 34]. All BSCL subjects from our research had diabetes, as shown in Table 1, which is in accordance with the previously published data from our population [3, 14].

There is evidence that the lung is a target organ in diabetes mellitus and pulmonary complications, as a respiratory muscle strength weakness was found in diabetic patients, correlating with a poor metabolic control [13]. Some mechanisms were proposed to explain the role of diabetes mellitus in pulmonary function. An association between autonomic neuropathy related to the respiratory muscles and lung impairment was previously identified [35]. Diabetic autonomic neuropathy is a complication of diabetes mellitus that has been associated with cardiovascular and respiratory dysfunctions in several studies [36,37,38,39,40,41]. Concerning BSCL, Faria et al. [5] previously showed abnormal autonomic modulation in BSCL patients of our cohort by heart rate variability (HRV) analysis, and this was independent of the presence of metabolic and hemodynamic disturbances. Atypical autonomic modulation was also recently confirmed in BSCL patients from Ceará, a Northeast state located near our patients’ state [16].

Furthermore, subjects presenting type 2 diabetes mellitus with autonomic neuropathy also showed reduced muscle strength and less HR variability and the researchers found a positive correlation between MIP and HRV [12]. Together, these results suggest that BSCL subjects could present respiratory muscle weakness. The results of the present study revealed a reduction of MIP and MEP in BSCL subjects that persisted for over two years of evaluation.

In both studies, almost all BSCL patients presented the 325dupA mutation in the BSCL2 gene that encodes Seipin. BSCL type 2 is the most severe form of this lipodystrophy, and the propensity to premature death is higher in these patients [3, 7], which could explain the low average age found for this BSCL group (31.4 ± 8.0 years). There are many Seipin-related motor neuropathies, named Seipinopathy. Lipodystrophy occurs due to Seipin loss-of-function, and the nervous system is slightly affected when compared with Seipinopathies, which occur due to Seipin gain-of-function [1, 42].

Seipin also plays an important role in regulating excitatory synaptic transmission [43]. We hypothesize that Seipin deficiency could affect the contraction of inspiratory and expiratory musculatures due to an imbalance of excitatory and inhibitory synaptic transmission. Sympathetic activation can be induced by inspiratory muscle fatigue, resulting in increased cardiac debt and arterial pressure and, consequently, leading to a reduction in arterial blood flow to the lower limbs. These findings indicate an interaction between ventilatory muscle activity and cardiovascular control mechanisms, which could potentiate previous abnormal autonomic control [12, 44, 45]. However, since these explanations were most pronounced in diabetic patients presenting autonomic neuropathies [12], new investigations are needed to address the role of Seipin in the regulation of autonomic neuropathies and its relationship with respiratory muscle strength.

Seipin is also implicated in ER stress, and this phenomenon was widely studied in liver, adipose tissue, pancreatic islets, and mammary gland alveolar epithelial cells [46,47,48,49]. However, there is a lack of information about ER stress and Seipin’s role in skeletal muscle pathophysiology. While Seipinopathy was shown to be related to ER stress, Lipodystrophy was not associated with ER stress in non-adipogenic cells. In Silver Syndrome, a type of Seipinopathy, a weakness of upper body strength was observed, indicating that Seipin gain of function can affect the upper musculature [50]. In fact, Bscl2 is robustly expressed in the XI cranial nerve, the main source of efferent motor fibers to the muscle groups of the shoulder and neck [50]. We suppose that there is a relationship between ER stress and Seipin in respiratory skeletal muscles that may not be per se associated with Seipinopathy, since our BSCL type 2 patients (325dupA mutation) did not present any signs related to neurological disturbances that were described for Seipinopathy.

The diaphragm is the most important skeletal muscle for respiratory function and, together with other respiratory muscles, acts as a respiratory pump, generating during inspiration the tidal volume necessary for the proper alveolar ventilation. Hyperglycemia can lead to loss of diaphragm muscle strength due to increased production of reactive oxygen species (ROS), which can damage contractile proteins, such as troponin T [51]. In addition, it is possible that insulin resistance, caused by intramuscular triglyceride accumulation, especially in mitochondria, generates negative adaptations in the diaphragm morphology and function, leading to the development of respiratory muscle weakness [52]. In this research all of the BSCL subjects presented hypertriglyceridemia and diabetes mellitus, indicating that these comorbidities may be associated with inspiratory muscle weakness found in these subjects.

Although leptin has been shown to be related to diabetic complications, no data from exploring its role in respiratory function are available. Since high levels of leptin were associated with autonomic neuropathy in diabetic patients [53,54,55] and these patients presented decreased muscle strength [12], we hypothesized that a relationship could exist between leptin and respiratory function. We observed a tendency to an increase in MIP and MEP after leptin replacement when all BSCL subjects were examined together (Fig. 2; Table 4). However, since only four BSCL subjects of our study started the metreleptin replacement, we were not able to conclude that administration of metreleptin can result in an improvement of respiratory muscle strength because BSCL subjects without metreleptin replacement also presented a slight increase in MIP and MEP when compared to those with metreleptin replacement (Figs. 2 and 3; Table 5).

The association between respiratory and peripheral muscle strength was previously studied in the literature. It was postulated that MIP could equally reflect the peripheral muscle strength and that the reverse is similarly true [56, 57]. In this context, we also evaluated the occurrence of peripheral muscle strength in our BSCL subjects, and the occurrence of a correlation between MIP and peripheral muscle strength was verified. In our study, we did not find peripheral muscle weakness in all BSCL subjects evaluated. These data reveal a difference between Lipodystrophy and Seipinopathy, since in the latter the weakness of upper limbs was previously described for Silver Syndrome [50].

Moreover, our peripheral muscle strength data are opposite to those obtained by Garg and co-workers [58]. The researchers observed reduced muscle strength of quadriceps femoris in 3 African BSCL patients. However, the genotyping of all patients evaluated in that study was not performed and no suppositions concerning the mutated gene and the specific BSCL mutation with the weakness of quadriceps muscle strength can be done. We also could not compare our results of MIP, MEP, and peripheral muscle strength according to the type of BSCL mutation since we had only 1 BSCL type 1 patient in our study. The one type 1 BSCL patient (case 1) presented maintenance of MIP during the 2 years of follow-up. Nonetheless, MEP and handgrip strength were reduced at follow-up, remaining below 70% of the predicted values. Weakness of lower muscle strength was also shown in patients with metabolic syndrome, especially in diabetic patients with or without polyneuropathy [59, 60].

To better elucidate the morphology of skeletal muscle from BSCL patients, Garg and co-workers also evaluated biopsy samples from quadriceps femoris and found an increase in glycolytic muscle fibers and a reduction in oxidative muscle fibers compared to healthy women. They postulated that insulin resistance found in those BSCL patients could be associated with the increase in glycolytic muscle fibers [58]. They proposed that the increased muscularity in BSCL is due to muscle hyperplasia and is not associated with increased muscle strength.

An inefficient metabolic control can contribute to a reduction in resistance to fatigue, which can be explained by the morphophysiological changes of respiratory and peripheral muscles, resulting in microvascular perturbations related to insulin resistance that compromises muscle strength and endurance [13, 58]. Nevertheless, we did not find any correlation between the respiratory and peripheral strength with the metabolic variables studied in our research. We suggest that the difference observed in our study, compared with Garg [58], can be explained by the specific characteristics of upper and lower limbs. The latter are more resistant to fatigue, mainly the quadriceps, when compared with upper limbs. In the case of BSCL patients from Garg’s research [58], the increased levels of glycolytic fibers resulted in a reduction in muscle strength probably due to the commitment of the muscle performance. Currently, no data are available about the morphology of upper muscles from BSCL patients. In addition, the lower limbs may be more affected by the disuse. Domestic and personal care activities may prevent muscle weakness in the upper limbs, which are more affected in the advanced stages of metabolic comorbidities [61,62,63,64].

It has been shown that inspiratory muscle training could improve inspiratory muscle function with no consequences in functional capacity or autonomic modulation [65, 66]. Inspiratory muscle training applied for patients with metabolic syndrome has been essential to prevent and/or treat respiratory muscle weakness [65]. The lack of physical exercise is a central mechanism in the development of diabetes mellitus and can contribute to reduced muscle strength. We believe that it is essential to verify MIP and MEP in healthy diabetic subjects to compare with our data found in diabetic BSCL patients. In addition, since metabolic disturbances, including diabetes, are a marked commitment found in BSCL patients, new physical interventions are required to improve the metabolic conditions and respiratory muscle strength of these patients.


We found an association between BSCL and decreased respiratory muscle strength during the 2 years of evaluation, suggesting that this lipodystrophy may be related to respiratory muscle weakness, which was not recovered by metreleptin treatment. The accurate molecular and pathophysiological mechanisms to explain these results require further investigation to reveal the impact of metabolic control and the practice of physical activity on respiratory muscle strength of Berardinelli-Seip Congenital Lipodystrophy subjects.

Study limitations

The measurement of respiratory muscle strength by maximum static respiratory pressure tests may be considered a study limitation due to its volitional characteristic. Non-volitional tests, such as the magnetic and electrical stimulation of phrenic nerve, are highly specific. However, the application of non-volitional tests presents high cost and is less applicable in the clinical practice. Furthermore, it is important to increase the number of BSCL subjects with type 1 BSCL and include the younger type 2 BSCL subjects to better understand the role of 1-AGPAT2 and Seipin on respiratory and peripheral muscle strength. The increase of BSCL subjects will also allow better description of the difference between Lipodystrophy and Seipinopathy regarding the weakness of upper limbs.



Acylglycerol-3-phosphate O-acyltransferase


Analysis of variance


Association of Parents and People with Berardinelli Syndrome of Rio Grande do Norte (Associação dos Pais e Pessoas com a Síndrome de Berardinelli do Estado do Rio Grande do Norte)


American Thoracic Society and European Respiratory Society


Body mass index


Berardinelli-Seip Congenital Generalized Lipodystrophy


Confidence interval


Endoplasmic reticulum


Faculdade de Ciências da Saúde do Trairi


Heart rate variability


Maximum Expiratory Pressure


Maximum Inspiratory Pressure


Peripheral Muscle Strength


Peripheral Muscle Weakness


Respiratory Muscle Strength


Respiratory Muscle Weakness


Rio Grande do Norte


Universidade Federal do Rio Grande do Norte


  1. Patni N, Garg A. Congenital generalized lipodystrophies—new insights into metabolic dysfunction. Nat rev Endocrinol. Nature publishing group. 2015;11(9):522–34.

    Article  PubMed  CAS  Google Scholar 

  2. Filho PPF, Val AC, Diamante R, Cunha CF, Norton RC, Lamounier JA, et al. Congenital generalized lipodystrophy. J Pediatr. 2004;80:333–6.

    Article  Google Scholar 

  3. Lima JG, Nobrega LHC, de Lima NN, do Nascimento Santos MG, Baracho MFP, Jeronimo SMB. Clinical and laboratory data of a large series of patients with congenital generalized lipodystrophy. Diabetol Metab Syndr. 2016;8:23.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Guedes Do Rêgo A, Mesquita ET, De Faria CA, Álvares M, Do Rêgo G, De Fátima M, et al. Cardiometabolic abnormalities in patients with berardinelli-seip syndrome. Arq Bras Cardiol. 2010;94:102–10.

    Article  Google Scholar 

  5. Faria CA, Moraes RS, Sobral-Filho DC, Rego AG, Baracho MFPP, Egito ESTT, et al. Autonomic modulation in patients with congenital generalized lipodystrophy (berardinelli-seip syndrome). Europace. 2009;11:763–9.

    Article  PubMed  Google Scholar 

  6. Garg A. Lipodystrophies. Am J Med. 2000;108:143–52.

    Article  PubMed  CAS  Google Scholar 

  7. Medeiros LBA, Dantas VKC, Sarmento ASC, Agnez-Lima LF, Meireles AL, Nobre TTX, et al. High prevalence of Berardinelli-Seip congenital lipodystrophy in Rio Grande do Norte state, Northeast Brazil. Diabetol Metab Syndr. 2017;9:80.

    Article  Google Scholar 

  8. Gomes Lima J, Helena L, Nobrega C, Lima NN, Ferreira MC, Santos D, et al. Causes of death in patients with Berardinelli- Seip congenital generalized lipodystrophy. [cited 2018 Jun 13]; Available from:

  9. Park JH, Kang S-W, Lee SC, Choi WA, Kim DH. How respiratory muscle strength correlates with cough capacity in patients with respiratory muscle weakness. Yonsei Med J [Internet]. 2010 [cited 2018 Aug 13];51:392. Available from:

  10. Ribeiro JP, Chiappa GR, Neder JA, Frankenstein L. Respiratory muscle function and exercise intolerance in heart failure. Curr Heart Fail Rep. 2009;6:95–101.

    Article  PubMed  Google Scholar 

  11. Wong E, Selig S, Hare DL. Respiratory muscle dysfunction and training in chronic heart failure. Hear Lung Circ. Australasian Society of Cardiac and Thoracic Surgeons and The Cardiac Society of Australia and New Zealand. 2011;20:289–94.

    Article  Google Scholar 

  12. Kaminski DM, D’Agord Schaan B, da Silva AMV, Soares PP, Plentz RDM, Dall’Ago P. Inspiratory muscle weakness is associated with autonomic cardiovascular dysfunction in patients with type 2 diabetes mellitus. Clin Auton Res. 2011;21:29–35.

    Article  PubMed  Google Scholar 

  13. Fuso L, Pitocco D, Longobardi A, Zaccardi F, Contu C, Pozzuto C, et al. Reduced respiratory muscle strength and endurance in type 2 diabetes mellitus. Diabetes Metab Res Rev. 2012;28:370–5.

    Article  PubMed  Google Scholar 

  14. Van Maldergem L, Magré J, Khallouf TE, Gedde-Dahl T, Delépine M, Trygstad O, et al. Genotype-phenotype relationships in Berardinelli-Seip congenital lipodystrophy. J Med Genet. 2002;39:722–33.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  15. Seip M, Trygstad O. Generalized lipodystrophy. Arch Dis Child. 1963;38:447–53.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  16. Ponte CMM, Fernandes VO, Gurgel MHC, Vasconcelos ITGF, Karbage LB de AS, Liberato CBR, et al. Early commitment of cardiovascular autonomic modulation in Brazilian patients with congenital generalized lipodystrophy. BMC Cardiovasc Disord. 2018;18:6.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Hagströmer M, Oja P, Sjöström M. The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutr [Internet]. 2006 [cited 2018 Aug 13];9:755–762. Available from:

  18. Matsudo S, Araújo T, Matsudo V, Andrade D, Andrade E, Oliveira LC, et al. QUESTIONÁRIO INTERNACIONAL DE ATIVIDADE FÍSICA (IPAQ): ESTUDO DE VALIDADE E REPRODUTIBILIDADE NO BRASIL. Rev Bras Atividade Física Saúde [Internet]. 2001 [cited 2018 Aug 13];6:5–18. Available from:

  19. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, et al. International Physical Activity Questionnaire: 12-Country Reliability and Validity. Med Sci Sport Exerc [Internet]. 2003 [cited 2018 Aug 13];35:1381–1395. Available from:

  20. Musso C, Major ML, Andres E, Simha V. Metreleptin treatment in three patients with generalized lipodystrophy. Clin Med Insights Case Reports. 2016; 9:123–127.

  21. Labtest Diagnóstica S.A [Internet]. [cited 2018 Aug 24]. Available from:

  22. Gibson GJ, Whitelaw W, Siafakas N, Supinski GS, Fitting JW, Bellemare F, et al. ATS/ERS statement on respiratory muscle testing. Am J Respir Crit Care Med. 2002;166:518–624.

    Article  Google Scholar 

  23. Dornelas De Andrade A, Silva TNS, Vasconcelos H, Marcelino M, Rodrigues-Machado MG, Galindo Filho VC, et al. Inspiratory muscular activation during threshold® therapy in elderly healthy and patients with COPD. J Electromyogr Kinesiol. 2005;15:631–9.

    Article  PubMed  Google Scholar 

  24. Neder JA, Andreoni S, Lerario MC, Nery LE. Reference values for lung function tests. II. Maximal respiratory pressures and voluntary ventilation. Brazilian J Med Biol Res. 1999;32:719–27.

    Article  CAS  Google Scholar 

  25. Evans JA, Whitelaw WA. The assessment of maximal respiratory mouth pressures in adults. Respir Care. 2009;54:1348–59.

    PubMed  Google Scholar 

  26. Horizonte B, Therapist P, Federal U, Gerais DM, Parreira V, França D, et al. Maximal respiratory Pressures : actual and predicted values in healthy subjects. Rev bras fisioter. 2007;11:361–8.

    Article  Google Scholar 

  27. Bravo de Souza R. Diretrizes para Testes de Função Pulmonar. J Bras Pneumol. 2002;28(Supl 3). Chapter 8: Pressões respiratórias estáticas máximas. Available from:

  28. Reis MM, Arantes PMM. Medida da força de preensão manual- validade e confiabilidade do dinamômetro saehan. Fisioter e Pesqui. 2011;18:176–81.

    Article  Google Scholar 

  29. Caporrino FA, Faloppa F, Santos JBGDOS, Réssio C, Soares FHDC, Segre NG, et al. Estudo populacional da força de preensão palmar com dinamômetro Jamar. Rev Bras Ortop. 1998;33:150–4.

    Google Scholar 

  30. Bessa EJC, Lopes AJ, Rufino R. A importância da medida da força muscular respiratória na prática da pneumologia. Pulmão RJ. 2015;24:37–41.

    Google Scholar 

  31. Alberto L, Junior F, Rubleski A, Garcia D, Tieppo J, Vercelino R, et al. Avaliação da Força Muscular Respiratória e da Função Pulmonar em Pacientes com Insuficiência Cardíaca. Arq Bras Cardiol. 2007;89:36–41.

    Google Scholar 

  32. Bonjorni LA, Jamami M, Di Lorenzo VAP, Pessoa BV. Influência da doença de Parkinson em capacidade física, função pulmonar e índice de massa magra corporal. Fisioter em Mov. 2012;25:727–36.

    Article  Google Scholar 

  33. Cury JL, Brunetto AF, Aydos RD. Efeitos negativos da insuficiência renal crônica sobre a função pulmonar e a capacidade funcional Negative effects of chronic kidney failure on lung function and functional capacity. Rev Bras Fisioter. 2010;14:91–8.

    Article  PubMed  Google Scholar 

  34. Bande-Fernández JJ, García-Castro R, Sánchez-Alvarez JE, Rodríguez-Suárez C, Coronel-Aguilar D, Hidalgo C, et al. Síndrome de Berardinelli-Seip en diálisis peritoneal. Nefrología. Sociedad Española de Nefrología. 2015;35:493–6.

    Article  Google Scholar 

  35. Klein OL, Krishnan JA, Glick S, Smith LJ. Systematic review of the association between lung function and type 2 diabetes mellitus. Diabet Med. 2010;27:977–87.

    Article  PubMed  CAS  Google Scholar 

  36. Ziegler D, Gries FA, Mühlen H, Rathmann W, Spüler M, Lessmann F. Prevalence and clinical correlates of cardiovascular autonomic and peripheral diabetic neuropathy in patients attending diabetes centers. The Diacan multicenter study group. Diabete Metab. 1993;19:143–51.

    PubMed  CAS  Google Scholar 

  37. Vinik AI, Ziegler D. Diabetic cardiovascular autonomic neuropathy. Circulation. 2007;115:387–97.

    Article  PubMed  Google Scholar 

  38. Maser R, Mitchell B, Vinik A, Freeman R. The association between cardiovascular autonomic neuropathy and mortality in individuals with diabetes: a meta-analysis. Diabetes Care. 2003;26:1895–901.

    Article  PubMed  Google Scholar 

  39. Douglas NJ, Campbell IW, Ewing DJ, Clarke BF, Flenley DC. Reduced airway vagal tone in diabetic patients with autonomic neuropathy. Clin Sci. 1981;61:581–4.

    Article  PubMed  CAS  Google Scholar 

  40. Heaton RW, Guy RJC, Gray BJ. Diminished bronchial reactivity to cold air in diabetic patients with autonomic neuropathy. Br Med J. 1984;289:149–51.

    Article  CAS  Google Scholar 

  41. Bertherat J, Lubetzki J, Lockhart A, Regnard J. Decreased bronchial response to methacholine in IDDM patients with autonomic neuropathy. Diabetes. 1991;40:1100–6.

    Article  PubMed  CAS  Google Scholar 

  42. Ito D, Fujisawa T, Iida H, Suzuki N. Characterization of seipin/BSCL2, a protein associated with spastic paraplegia 17. Neurobiol Dis. 2008;31:266–77.

    Article  PubMed  CAS  Google Scholar 

  43. Wei S, Soh SLY, Qiu W, Yang W, Seah CJY, Guo J, et al. Seipin regulates excitatory synaptic transmission in cortical neurons. J Neurochem. 2013;124:478–89.

    Article  PubMed  CAS  Google Scholar 

  44. Chiappa GR, Roseguini BT, Vieira PJC, Alves CN, Tavares A, Winkelmann ER, et al. Inspiratory muscle training improves blood flow to resting and exercising limbs in patients with chronic heart failure. J Am Coll Cardiol. 2008;51:1663–71.

    Article  PubMed  Google Scholar 

  45. Croix CMS, Morgan BJ, Wetter TJ, Dempsey JA. Fatiguing inspiratory muscle work causes reflex sympathetic activation in humans. J Physiol. 2000;529:493–504.

    Article  Google Scholar 

  46. EI Z, AE, Li R, Chen W, Ye X. Seipin deficiency leads to increased ER stress and apoptosis in mammary gland alveolar epithelial cells during lactation. Biol Reprod. 2017;(98)4:570–578.

  47. Qiu W, Wee K, Takeda K, Lim X, Sugii S, Radda GK, et al. Suppression of Adipogenesis by pathogenic Seipin mutant is associated with inflammatory response. PLoS One. 2013;8(3):e57874.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  48. Rayavarapu S, Coley W, Nagaraju K. Endoplasmic reticulum stress in skeletal muscle homeostasis and disease. Curr Rheumatol Rep. 2012;14:238–43.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  49. Hölttä-Vuori M, Salo VT, Ohsaki Y, Suster ML, Ikonen E. Alleviation of seipinopathy-related ER stress by triglyceride storage. Hum Mol Genet. 2013;22:1157–66.

    Article  PubMed  CAS  Google Scholar 

  50. Garfield AS, Chan WS, Dennis RJ, Ito D, Heisler LK, Rochford JJ. Neuroanatomical characterisation of the expression of the lipodystrophy and motor-neuropathy gene Bscl2 in adult mouse brain. PLoS One. 2012;7(9):e45790.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  51. Callahan LA, Supinski GS. Hyperglycemia-induced diaphragm weakness is mediated by oxidative stress. Crit Care [Internet]. BioMed Central; 2014 [cited 2018 Aug 8];18:R88. Available from:

  52. Moro C, Bajpeyi S, Smith SR. Determinants of intramyocellular triglyceride turnover: implications for insulin sensitivity. Am J Physiol Metab [Internet]. 2008 [cited 2018 Aug 8];294:E203–E213. Available from:

  53. Asakawa H, Tokunaga K, Kawakami F. Relationship of leptin level with metabolic disorders and hypertension in Japanese type 2 diabetes mellitus patients. J Diabetes Complicat. 2001;15:57–62.

    Article  PubMed  CAS  Google Scholar 

  54. Jung C-H, Kim B-Y, Mok J-O, Kang S-K, Kim C-H. Association between serum adipocytokine levels and microangiopathies in patients with type 2 diabetes mellitus. J Diabetes Investig. 2014;5:333–9.

    Article  PubMed  CAS  Google Scholar 

  55. Rodríguez AJ, Nunes VDS, Mastronardi CA, Neeman T, Paz-Filho GJ, Jung C-H, et al. Association between circulating adipocytokine concentrations and microvascular complications in patients with type 2 diabetes mellitus: a systematic review and meta-analysis of controlled cross-sectional studies. J Diabetes Complicat. 2016;30:357–67.

    Article  PubMed  Google Scholar 

  56. Bahat G, Tufan A, Ozkaya H, Tufan F, Akpinar TS, Akin S, et al. Relation between hand grip strength, respiratory muscle strength and spirometric measures in male nursing home residents. Aging Male. 2014;17:136–40.

    Article  PubMed  Google Scholar 

  57. Efstathiou ID, Mavrou IP, Grigoriadis KE. Correlation between maximum inspiratory pressure and hand-grip force in healthy young and middle-age individuals. Respir Care. 2016;61:925–9.

    Article  PubMed  Google Scholar 

  58. Garg A, Stray-Gundersen J, Parsons D, Bertocci LA. Skeletal muscle morphology and exercise response in congenital generalized lipodystrophy. Diabetes Care. 2000;23:1545–50.

    Article  PubMed  CAS  Google Scholar 

  59. Ijzerman TH, Schaper NC, Melai T, Meijer K, Willems PJB, Savelberg HHCM. Lower extremity muscle strength is reduced in people with type 2 diabetes, with and without polyneuropathy, and is associated with impaired mobility and reduced quality of life. Diabetes Res Clin Pract Elsevier Ireland Ltd. 2012;95:345–51.

    Article  Google Scholar 

  60. Leenders M, Verdijk LB, van der Hoeven L, Adam JJ, van Kranenburg J, Nilwik R, et al. Patients with type 2 diabetes show a greater decline in muscle mass, muscle strength, and functional capacity with aging. J Am Med Dir Assoc Elsevier Ltd. 2013;14:585–92.

    Article  Google Scholar 

  61. Tatsuya Nagai MD, Koichi Okita MD, Kazuya Yonezawa MD, Yutaka Yamada MD, Akiko Hanada MD, Mitsunori Ohtsubo MD, Noriteru Morita M, Murakami T, Nishijima H, Akira Kitabatake M. Comparisons of the skeletal muscle metabolic abnormalities in the arm and leg muscles of patients with chronic heart failure. Circ J. 2004;68(6):573–9.

    Article  PubMed  Google Scholar 

  62. Venturelli M, Saggin P, Muti E, Naro F, Cancellara L, Toniolo L, et al. In vivo and in vitro evidence that intrinsic upper- and lower-limb skeletal muscle function is unaffected by ageing and disuse in oldest-old humans. Acta Physiol [Internet]. 2015 [cited 2018 Aug 13];215:58–71. Available from:

  63. Brooks NE, Myburgh KH. Skeletal muscle wasting with disuse atrophy is multi-dimensional: the response and interaction of myonuclei, satellite cells and signaling pathways. Front Physiol [Internet]. Frontiers Media SA; 2014 [cited 2018 Aug 13];5:99. Available from:

  64. Orlando G, Balducci S, Bazzucchi I, Pugliese G, Sacchetti M. Muscle fatigability in type 2 diabetes. Diabetes Metab Res Rev [Internet]. 2017 [cited 2018 Aug 13];33:e2821. Available from:

  65. Corrêa APS, Ribeiro JP, Balzan FM, Mundstock L, Ferlin EL, Moraes RS. Inspiratory muscle training in type 2 diabetes with inspiratory muscle weakness. Med Sci Sports Exerc. 2011;43:1135–41.

    Article  PubMed  Google Scholar 

  66. Cauza E, Hanusch-Enserer U, Strasser B, Ludvik B, Metz-Schimmerl S, Pacini G, et al. The relative benefits of endurance and strength training on the metabolic factors and muscle function of people with type 2 diabetes mellitus. Arch Phys Med Rehabil. 2005;86:1527–33.

    Article  PubMed  Google Scholar 

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The authors would like to thank ASPOSBERN for kindly providing all the necessary data for analysis.


This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Authors and Affiliations



JLDM, BCB, TABA, MSLC, TTXN and JTAMC collected and compiled data. ASCS, JTAMC, LBAM, JGL and LPG assisted in writing and formatting the text. All authors assisted with the data analysis and read and approved the final manuscript.

Corresponding author

Correspondence to Julliane Tamara Araújo de Melo Campos.

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The procedures used for performing this study were approved by the Ethics and Research Committee of Faculdade de Ciências da Saúde do Trairi (FACISA) of the Universidade Federal do Rio Grande do Norte (UFRN) with study number 46085615.8.0000.5568. Additionally, ASPOSBERN provided a Letter of Agreement and Concession Agreement for the study. The data did not contain any personal identifiers. The confidentiality of all information was preserved.

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Additional files

Additional file 1:

Table S1. Physical activity data of BSCL subjects after three evaluations. Table S2. Correlations between respiratory and peripheral strength tests and metabolic parameters of BSCL subjects. (DOCX 18 kb)

Additional file 2:

Figure S1. Correlation between MIP and peripheral muscle strength (PMS) values of BSCL subjects. MIP indices at 2015, 2016, and 2017 were used. r values of a Pearson correlation coefficient and p values are included. (TIF 345 kb)

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Dantas de Medeiros, J.L., Carneiro Bezerra, B., Brito de Araújo, T.A. et al. Impairment of respiratory muscle strength in Berardinelli-Seip congenital lipodystrophy subjects. Respir Res 19, 173 (2018).

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  • Lipodystrophy
  • MIP
  • MEP
  • PMS
  • Metreleptin