| Literature DB >> 33923948 |
Francesco Palmese1, Rossella Del Toro1,2, Giulia Di Marzio3, Pierluigi Cataleta1, Maria Giulia Sama1, Marco Domenicali1,4.
Abstract
Sarcopenia is a prevalent condition in patients with Crohn's disease (CD), representing an independent predictor factor for the development of major postoperative complications. Thus, a proper assessment of the muscle strength, by using different validated tools, should be deemed an important step of the clinical management of these patients. Patients with CD are frequently malnourished, presenting a high prevalence of different macro- and micro-nutrient deficiencies, including that of vitamin D. The available published studies indicate that vitamin D is involved in the regulation of proliferation, differentiation, and regeneration of muscle cells. The relationship between vitamin D deficiency and sarcopenia has been extensively studied in other populations, with interesting evidence in regards to a potential role of vitamin D supplementation as a means to prevent and treat sarcopenia. The aim of this review was to find studies that linked together these pathological conditions.Entities:
Keywords: Crohn’s disease; inflammatory bowel disease; malnutrition; nutritional assessment; sarcopenia; skeletal muscle function; vitamin D
Year: 2021 PMID: 33923948 PMCID: PMC8074054 DOI: 10.3390/nu13041378
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Validated tests for the assessment of muscle strength and muscle quantity.
| Variable | Parameter | Test | Tool | Advantages | Disadvantages |
|---|---|---|---|---|---|
| Skeletal Muscle Strength | GS | GST | Dynamometer | Simple and inexpensive. |
Provides only an approximation for the strength of arm muscles. Not possible to perform in case of hands disability. |
| CST | None | Simple and inexpensive. |
Provides only an approximation for the strength of leg muscles. Not possible to perform in case of leg disability. | ||
| Skeletal Muscle Quantity | SMM | ASMI | BIA; DXA |
Detailed information on the body composition Relatively low-cost method. Short time required. |
Requires trained physicians Use of ionizing radiations (DXA) |
| SMM | MCSA | CT; MRI | The gold-standard methods. |
Requires highly trained personnel. Expensive tests. Time-consuming. Use of ionizing radiations (CT). Cut-off points for low muscle mass are not yet well defined. |
Abbreviations: GS: grip strength; GST: grip strength test; CST: chair stand test; ASMI: appendicular skeletal muscle index; SMM: skeletal muscle mass; BIA: bioelectrical impedance analysis; DXA: Dual-energy X-ray absorptiometry; CT: computed tomography; MRI: magnetic resonance imaging; MCSA: muscle cross-sectional area.
Figure 1Different mechanisms are involved in the pathogenesis of sarcopenia in patients with CD. The combined effect of inflammatory cytokines (e.g., TNF-α, IL-6) in determining increased muscle protein degradation, through NF-KB and increased Myostatin activity, are here summarized. By reducing IGF-1 and its related intracellular signal pathway, along with the decreased amino acid absorption also due to therapeutic interventions, chronic inflammation determines a diminished protein synthesis. Abbreviations: TNF-α: tumor necrosis factor Alfa; IL-6: interleukin 6; PI3K: phosphatidylinositol-3-kinase; AKT: protein kinase B; mTORC1: mammalian target of rapamycin complex; IGF-1: Insulin-Like Growth Factor-1; NF-KB: Nuclear Factor Kappa B.
Figure 2Flow diagram of the study selection process (adapted from PRISMA) [22].
Prevalence of Sarcopenia in Crohn’s Disease (CD).
| Authors | Year |
| Age | Variable | Test | Tool | Sarcopenia |
|---|---|---|---|---|---|---|---|
| Boparai [ | 2021 | 44 | 34 ± 14.1 * | SMQ | MCSA | CT | 43 |
| Celentano et al. [ | 2020 | 31 | 46 (49–72) † | SMQ | MCSA | MRI | 38 |
| Lee et al. [ | 2020 | 79 | 29 ± 11.3 * | SMQ | MCSA | CT | 50 |
| Grillot et al. [ | 2020 | 88 | 35 ± 12.4 * | SMQ | MCSA | CT | 58 |
| Thiberge et al. [ | 2018 | 149 | 41 ± 17.5 * | SMQ | MCSA | CT | 33.6 |
| Zhang T. et al. [ | 2017 | 105 | − | SMQ | MCSA | CT | 59 |
| Csontos et al. [ | 2017 | 126 | 34 ± 11.5 * | SMQ | ASMI | BIA | 29.4 |
| Holt et al. [ | 2017 | 44 | 38 ± 14.2 * | SMQ | MCSA | CT | 41 |
| Bamba et al. [ | 2017 | 43 | 29 (25–37) † | SMQ | MCSA | CT | 37 |
| Cravo et al. [ | 2017 | 71 | 43 | SMQ | MCSA | CT | 31 |
| Bryant et al. [ | 2015 | 95 | 31 (27–39) † | SMQ | ASMI | BIA | 19 |
| Zhang T. et al. [ | 2015 | 114 | 32 ± 11.5 * | SMQ | MCSA | CT | 61.4 |
| Schneider et al. [ | 2008 | 82 | 36 ± 13.9 * | SMQ | ASMI | DXA | 60 |
Abbreviations: SMS: skeletal muscle strength; SMQ: skeletal muscle quantity; ASMI: appendicular skeletal muscle index; MCSA: muscle cross-sectional area; GST: grip strength test; Dyn: dynamometer; MRI: magnetic resonance imaging; CT: computed tomography; BIA: bioelectrical impedance analysis; DXA: Dual-energy X-ray absorptiometry; yr: year; − not found in the article; * the mean ± standard deviation; † the median range.
Prevalence of Vitamin D deficiency in Crohn’s Disease (CD).
| Authors | Year | n | Age | 25(OH)D Cut-Off | Vitamin D Deficiency |
|---|---|---|---|---|---|
| Janssen et al. [ | 2019 | 256 | 43 (18–85) † | <20 | 63% |
| Burrelli Scotti et al. [ | 2019 | 33 | - | <20 | 39.6% 1 |
| Mentella et al. [ | 2019 | 101 | 37.9 ± 16.64 * | <20 | 38.6% |
| Frigstad et al. [ | 2018 | 227 | 40 (18–77) † | <20 | 55% |
| Torella et al. [ | 2018 | 14 | - | <30 | 78.6% |
| Lin et al. [ | 2018 | 346 | - | <20 | 82.7% |
| Alrefai et al. [ | 2017 | 201 | 40 ± 15.2 * | <12 | 18% |
| Venkata et al. [ | 2017 | 196 | − | <30 | 58.7% |
| Pallav et al. [ | 2017 | 129 | − | <20 | 40.3% |
| da Silva Kotze et al. [ | 2017 | 38 | 40 (16–73) † | <20 | 10.5% |
| Reich et al. [ | 2016 | 28 | − | <30 | 53.6% |
| Rebouças et al. [ | 2016 | 75 | 41 ± 15.6 * | <30 | 62.7% |
| Xia et al. [ | 2016 | 124 | 27.6 ± 8.6 * | <20 | 67.8% |
| De Castro et al. [ | 2015 | 57 | 33 ± 9.8 * | <20 | 33% |
| Raftery et al. [ | 2015 | 119 | 45 ± 11.8 * | <20 | 36.1% |
| de Bruyn et al. [ | 2014 | 101 | 41 (30–50) † | <20 | 54% |
| Dumitrescu et al. [ | 2014 | 14 | 36 ± 9 * | <20 | 36% |
| Hlavaty et al. [ | 2014 | 124 | - | <12 | 60% 1 |
| Veit et al. [ | 2014 | 40 | 16.6 ± 2.2 * | <20 | 40% |
| Salacinski et al. [ | 2013 | 19 | 44 ± 10.3 * | <20 | 10.5% |
| Fu et al. [ | 2012 | 40 | 40 ± 13.2 * | <20 | 42.5% |
| Suibhne et al. [ | 2012 | 81 | 36 ± 11 * | <20 | 63% |
| Atia et al. [ | 2011 | 43 | 61 ± 14.7 * | <20 | 51.2% |
| Jørgensen et al. [ | 2010 | 94 | - | <20 | 30.9% |
| Kuwabara et al. [ | 2009 | 29 | 32 ± 6.7 * | <20 | 100% |
| Gilman et al. [ | 2006 | 58 | 38 ± 10.9 * | <20 | 19% 1 |
| McCarthy et al. [ | 2005 | 44 | 37 ± 11.1 * | <20 | 18.2% 1 |
| Tajika et al. [ | 2004 | 33 | 38 ± 7.5 * | ≤10 | 27.3% |
| Siffledeen et al. [ | 2003 | 242 | - | <10 | 8% |
| Jahnsen et al. [ | 2002 | 60 | - | <12 | 27% |
Abbreviations: yr: year; 25(OH)D: 25-hydroxyvitamin D; 1: percentage in summer; 2: percentage in winter; − not found in the article; * the mean ± standard deviation. † the median range.
Figure 3Flow diagram of the study selection process (adapted from PRISMA) [22].
Figure 4Brief overview of the genomic and non-genomic pathways of vitamin D at muscle cellular level. Vitamin D regulates gene expression in the nucleus by interacting with VDR, thus forming a heterodimeric complex of liganded VDR with RXR and upregulating or downregulating target genes transcription. The non-genomic effects of Vitamin D are mediated by the activation of several intracellular signal pathways through signal molecules, e.g., phospholipase C and phospholipase A2, and the production of second messengers, protein kinases, and the opening of Ca2+ and Cl− channels. Abbreviations: VDR: Vitamin D Receptor; RXR: Retinoid-X-receptor; 1,25VitD: 1,25-hydroxyvitamin D.