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Article

Vitamin Intake and Loss of Muscle Mass in Older People with Type 2 Diabetes: A Prospective Study of the KAMOGAWA-DM Cohort

by
Fuyuko Takahashi
1,†,
Yoshitaka Hashimoto
1,*,†,
Ayumi Kaji
1,
Ryosuke Sakai
1,
Yuka Kawate
1,
Takuro Okamura
1,
Yuriko Kondo
1,
Takuya Fukuda
1,
Noriyuki Kitagawa
1,2,
Hiroshi Okada
1,3,
Naoko Nakanishi
1,
Saori Majima
1,
Takafumi Senmaru
1,
Emi Ushigome
1,
Masahide Hamaguchi
1,
Mai Asano
1,
Masahiro Yamazaki
1 and
Michiaki Fukui
1
1
Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan
2
Department of Diabetology, Kameoka Municipal Hospital, Kyoto 621-8585, Japan
3
Department of Diabetes and Endocrinology, Matsushita Memorial Hospital, Osaka 570-8540, Japan
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Nutrients 2021, 13(7), 2335; https://doi.org/10.3390/nu13072335
Submission received: 14 May 2021 / Revised: 17 June 2021 / Accepted: 3 July 2021 / Published: 8 July 2021
(This article belongs to the Special Issue Vitamin, Mineral Deficiency and Poor Diet Quality in Aging)
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Abstract

:
The aim of this prospective cohort study was to examine the relationships between the intakes of various vitamins and the loss of muscle mass in older people with type 2 diabetes (T2DM). The change in skeletal muscle mass index (SMI, kg/m2) (kg/m2/year) was defined as follows: (SMI at baseline (kg/m2) − SMI at follow-up (kg/m2))/follow-up period (year). The rate of SMI reduction (%) was calculated as follows (the change in SMI (kg/m2/year)/SMI at baseline (kg/m2)) × 100. The rate of SMI reduction ≥ 1.2% was considered as the loss of muscle mass. Among 197 people with T2DM, 47.2% of them experienced the loss of muscle mass at the 13.7 ± 5.2 month follow-up. Vitamin B1 (0.8 ± 0.3 vs. 0.8 ± 0.3 mg/day, p = 0.031), vitamin B12 (11.2 ± 8.3 vs. 13.4 ± 7.5 μg/day, p = 0.049), and vitamin D (16.5 ± 12.2 vs. 21.6 ± 13.0 μg/day, p = 0.004) intakes in people with the loss of muscle mass were significantly lower than those without. Vitamin D intake was related to the loss of muscle mass after adjusting for sex, age, exercise, alcohol, smoking, body mass index, SMI, glucagon-like peptide-1 agonist, sodium glucose cotransporter-2 inhibitor, insulin, HbA1c, creatinine, energy intake, and protein intake (adjusted odds ratio 0.93, 95% confidence interval: 0.88–0.97, p = 0.003). This study showed that vitamin D intake was related to the loss of muscle mass in older people with T2DM. Vitamin B12 intake tended to be related to the loss of muscle mass, although vitamin A, vitamin B2, vitamin B6, vitamin C, and vitamin E intake were not related.

1. Introduction

The population of people with type 2 diabetes mellitus (T2DM), including older people, has been increasing continuously all over the world [1]. Diabetes has been shown to promote muscle catabolism due to decreasing insulin signaling and increasing insulin resistance [2], thereby causing a rapid loss of muscle strength and mass [3]. For people with T2DM, to maintain muscle mass is crucial since muscle is a main organ for body glucose metabolism [4]. Furthermore, older people with T2DM often develop sarcopenia [5], which is known as a risk of not only cardiovascular disease [6,7] but also mortality [8,9]. Thus, preventing the loss of muscle mass is a crucial therapeutic goal for people with T2DM, especially those who are older.
Macronutrient intake, such as adequate energy and protein intake, is recommended for maintenance of the body’s muscle mass [5,10,11,12]. On the other hand, micronutrients have also been associated with muscle mass [13]. Low vitamin intake is reportedly related to the risk of frailty in older people [14]. In particular, the role of vitamin D, a fat-soluble vitamin, in sarcopenia has been increasingly reported [15,16,17]. Regulation of bone homeostasis is also the role of vitamin D [16]. An epidemiological study suggested that usage of vitamin D was effective for the prevention of decreased muscle mass [17]. Serum vitamin D level was associated with physical performance and frailty in cross-sectional studies [18,19], and coexisting low serum vitamin D level and high interleukin 6 level were associated with slow gait speed in a cross-sectional study [20]. Vitamin D was reported to suppress muscle atrophy through the suppression of forkhead box protein O1 (FOXO1) in skeletal muscle [16]. Moreover, it was reported that people with sarcopenia took lower vitamin B12 than people without [21]. However, the relationships between the intakes of vitamin D or vitamin B12 and the loss of muscle mass in older people with T2DM are unknown. Additionally, the relationships between some vitamin intakes, such as vitamin A, vitamin B1, vitamin B2, vitamin B6, vitamin C and vitamin E and the loss of muscle mass are not established, although vitamin A and vitamin B6 have the effect of activation of immune function [22,23], and vitamin C and vitamin E have the effect of antioxidants [24,25]. Low serum vitamin B6 level correlates with the proinflammatory status [26]. Additionally, low vitamin C and vitamin E intakes are associated with the presence of frailty [19], and low plasma vitamin E level is also associated with the presence of the frailty [27]. Moreover, the association between vitamin B1 or vitamin B2 and the loss of muscle mass are not established. Vitamin B1, which is an essential nutrient, plays a role in various cell functions, such as energy metabolism and the breakdown of sugars and carbon skeletons [28]. Vitamin B2 plays a role in tryptophan metabolism, iron absorption, gastrointestinal tract, brain function, mitochondrial function, and other vitamins’ metabolism [29]. Therefore, this prospective cohort study investigated the relationships between the intakes of various vitamins and the loss of muscle mass in older people with T2DM.

2. Method

2.1. Study Design

The study design of this research was a prospective cohort study.

2.2. Setting

The KAMOGAWA-DM cohort study, a continuing cohort study of people with diabetes mellitus, was introduced in 2014 [30]. The KAMOGAWA-DM cohort study enrolls outpatients of Kyoto Prefectural University of Medicine Hospital (Department of Endocrinology and Metabolism, Kyoto, Japan), and Kameoka Municipal Hospital (Department of Diabetology, Kameoka, Japan).

2.3. Study Participants

This research included participants with T2DM who answered the brief-type self-administered diet history questionnaire (BDHQ) between January 2016 and April 2018 [31]. The follow-up times were regarded as follows: the difference between the follow-up visit date and the first visit date (year). The exclusion criteria were (1) age under 65 years, (2) missing the data of body composition at baseline, (3) follow-up duration under 6 months, (4) missing follow-up body composition data, (5) inaccurate data, and (6) extremely low or high energy intake (600 or 4000 kcal/day, respectively) because of low reliability [32].

2.4. Ethics

Informed consent was gained from the participants, and the medical data of the participants was compiled into a database with personal information anonymized. The present study received approval from the Research Ethics Committee of Kyoto Prefectural University of Medicine (No. RBMR-E-466-6) and was carried out in conformity with the principles of the Declaration of Helsinki.

2.5. Variables

The present study collected the following data.
Sex, age, duration of diabetes, family history of diabetes, and usage medication data, including steroids, biguanides, insulin, glucagon-like peptide-1 (GLP-1) agonist, and sodium glucose cotransporter-2 (SGLT-2) inhibitors, were collected using medical records.
Lifestyle factors were assessed by a standardized questionnaire. Based on their responses to the questionnaire, participants were grouped into non-smoker and current smoker groups. Moreover, participants were grouped into non-exercisers and exercisers based on their performance or non-performance of any kind of sport at least once a week [31].
Laboratory parameters, including fasting plasma glucose, glycosylated hemoglobin, high-density lipoprotein cholesterol, triglycerides, and creatinine were measured in venous blood samples after overnight fasting. Glycosylated hemoglobin (HbA1c) was measured by high-performance liquid chromatography. The estimated glomerular filtration rate (eGFR; mL/min/1.73 m2) was estimated as follows; eGFR = 194 × age−0.287 × serum creatinine−1.094 (×0.739 for women) [33].
A multifrequency impedance body composition analyzer, InBody 720 (InBody Japan, Tokyo, Japan), was used to evaluate body composition. InBody 720 was reported to be a good correlation with dual-energy X-ray absorptiometry [34]. Body mass index (BMI, kg/m2), dividing body weight (BW, kg) by height squared (m2), and skeletal muscle mass index (SMI, kg/m2), dividing appendicular muscle mass (kg) by height squared (m2), were calculated. Ideal body weight (IBW) was determined as follows: 22 × participant height squared (m2) [35].
Habitual food and nutrient intake were assessed using BDHQ [32], which is a dietary record for estimating the dietary intake of 58 items of the respondent during the past month: the frequency of consuming 46 food and non-alcoholic beverages; the frequency of drinking alcoholic beverages and the amount per drink of five alcoholic beverages; daily rice consumption, the type of rice, and the daily miso soup consumption; usual dietary behavior; the respondent’s regular cooking methods. A previous report showed the validity of BDHQ [36]. Data of the intake of habitual foods and nutrients included: (energy (kcal/day); fat (g/day); protein (g/day), including vegetable and animal proteins; carbohydrate (g/day); fiber (g/day); vitamin A (µg RAE/day); vitamin B1 (mg/day); vitamin B2 (mg/day); vitamin B6 (mg/day); vitamin B12 (µg/day); vitamin C (mg/day); vitamin D (µg/day); vitamin E (mg/day); alcohol consumption (g/day); supplement usage). To consider the difference in body size of each person, energy (kcal/IBW/day), fat (g/IBW/day), and carbohydrate (g/IBW/day) intakes were calculated as energy (kcal/day), fat (g/day) and carbohydrate (g/day) intakes divided by IBW (kg), respectively. Protein (g/BW/day), vegetable protein (g/BW/day), and animal protein (g/BW/day) intakes were calculated as protein (g/day), vegetable protein (g/day), and animal protein (g/day) intakes divided by BW (kg). Carbohydrate-to-fiber intake ratio was calculated as follows: dividing carbohydrate intake by fiber intake [37]. Alcohol consumption was also assessed, and we defined people with habitual alcohol consumption if they consumed alcohol >20 g/day [31]. Moreover, data on supplement intake frequency were also obtained, and habitual supplement usage was regarded as using supplements regularly. Energy intake ≥30 kcal/IBW/day was defined as adequate energy intake [12], and protein intake ≥1.2 g/BW/day defined as adequate protein intake [10,38].

2.6. Definition of Loss of Muscle Mass

The change in SMI (kg/m2/year) was calculated as follows: (SMI at baseline (kg/m2) − SMI at follow-up (kg/m2))/follow-up period (year). The rate of SMI reduction (%) was calculated as (the change in SMI (kg/m2/year)/SMI at baseline (kg/m2)) × 100 [10]. The rate of SMI reduction ≥1.2% was considered as loss of muscle mass [39].

2.7. Statistical Method

Categorical variables are presented as numbers and continuous variables are presented as means ± standard deviation (SD). The statistical significance of differences between groups was assessed using the chi-square test for categorical variables and student’s t-test for continuous variables. Evaluation of correlation was carried out with Pearson’s correlation coefficient. Logistic regression analysis was carried out to calculate the odds ratio (OR) and 95% confidence interval (CI) for the intake effect of each vitamin on the loss of muscle mass, adjusting for sex, age, habitual alcohol consumption, smoking habit, exercise habit, BMI, SMI, usage of an SGLT2 inhibitor [40], usage of a GLP-1 agonist [41], insulin treatment, HbA1c, creatinine, energy intake (kcal/IBW/day), and protein intake (g/BW/day).
Moreover, we examined the effects of vitamin intake on the loss of muscle mass according to following subgroups: exercise habit; sex; adequate energy intake (≥30 kcal/IBW/day) [12]; adequate protein intake (≥1.2 g/BW/day) [10,38]; usage of supplements; usage of biguanides. Logistic regression analyses were carried out to calculate ORs and 95% CIs adjusted for sex, age, BMI, energy intake, and protein intake.
Furthermore, the rate of SMI reduction ≥0.5% [11] and 2.0% [42] were used for other cut-off levels of loss of muscle mass.
EZR (Saitama Medical Center, Jichi Medical University, Saitama, Japan) [43] was used for statistical analyses and GraphPad Prism, version 8.4.2 (GraphPad Software, Inc., La Jolla, CA, USA), for figure creation. Differences with p values < 0.05 were considered statistically significant.

3. Results

This research enrolled 362 individuals with T2DM. We excluded 165 people: eight who did not undergo the multifrequency impedance body composition analyzer test, six who had hyper- or hypo-nutrition, fifty-five who were not followed up, one with unreliable data, two with a follow-up period under 6 months, and ninety-three who were aged under 65 years; therefore, the final study population included 197 people (112 men and 85 women) (Figure 1).
The clinical characteristics at baseline of the study participants are summarized in Table 1. Of the participants, 47.2% (n = 93/197) developed the loss of muscle mass at the 13.7 ± 5.2 month follow-up.
The results of habitual dietary intake assessment at baseline are shown in Table 2. Participants with the loss of muscle mass had significantly lower vitamin B1 intake (0.8 ± 0.3 vs. 0.8 ± 0.3 mg/day, p = 0.031), vitamin D intake (16.5 ± 12.2 vs. 21.6 ± 13.0 μg/day, p = 0.004), and vitamin B12 intake (11.2 ± 8.3 vs. 13.4 ± 7.5 μg/day, p = 0.049) than participants without the loss of muscle mass.
Logistic regression analyses showed that vitamin D intake (μg/day) was related to the loss of muscle mass (OR 0.93 (95% CI: 0.88–0.97), p = 0.003) after adjusting for covariates. Moreover, vitamin B1 intake (mg/day) was related to the loss of muscle mass (Model 1: OR 0.36 (95% CI: 0.14–0.93), p = 0.034), although it was not statistically significant after further adjusting for covariates (Model 3: OR 0.13 (95% CI: 0.01–1.23), p = 0.075). Vitamin B12 intake (μg/day) was related to the loss of muscle mass (Model 2: OR 0.92 (95% CI: 0.84–1.00), p = 0.038), although it was not statistically significant after further adjusting for covariates (Model 3: OR 0.93 (95% CI: 0.85–1.01), p = 0.090) (Table 3).
Moreover, we examined the effect of vitamin intake on the loss of muscle mass according to exercise habit, sex, smoking status, energy intake (≥30 kcal/IBW/day or not), protein intake (≥1.2 g/BW/day or not), usage of supplements, and usage of biguanides (Table S1 and Figure 2). Vitamin D intake (μg/day) was related to the loss of muscle mass in people both with (adjusted OR 0.92 (95% CI: 0.86–0.98), p = 0.014) and without exercise habits (adjusted OR 0.92 (95% CI: 0.85–0.99), p = 0.029). Vitamin D intake (μg/day) was related to the loss of muscle mass in women (adjusted OR 0.87 (95% CI: 0.79–0.95), p = 0.003) and tended to be related to the loss of muscle mass in men (adjusted OR 0.95 (95% CI: 0.89–1.01), p = 0.099), although the latter was not statistically significant. Whereas vitamin D intake (μg/day) was related to the loss of muscle mass in people without smoking habits (adjusted OR 0.41 ((95% CI: 0.20–0.84), p = 0.014), it was not related to the loss of muscle mass in people with smoking habits (adjusted OR 1.28 (95% CI: 0.03–50.23), p = 0.897). In addition, vitamin D intake (μg/day) was related to the loss of muscle mass in people without adequate energy intake (adjusted OR 0.89 (95% CI: 0.83–0.97), p = 0.005), whereas this relationship did not present in people with adequate energy intake (adjusted OR 0.95 (95% CI: 0.90–1.02), p = 0.137). Vitamin D intake (μg/day) was related to the loss of muscle mass in people both with (adjusted OR 0.93 (95% CI: 0.88–0.99), p = 0.017) and without adequate protein intake (adjusted OR 0.88 (95% CI: 0.79–0.98), p = 0.020). Vitamin D intake (μg/day) was related to the loss of muscle mass in people both with (adjusted OR 0.88 (95% CI: 0.78–0.99), p = 0.032) and without usage of supplements (adjusted OR 0.93 (95% CI: 0.87–0.98), p = 0.011).
Furthermore, vitamin B12 intake (μg/day) was related to the loss of muscle mass in people without adequate energy intake (adjusted OR 0.82 (95% CI: 0.70–0.95), p = 0.011). Moreover, vitamin B12 intake (μg/day) was related to the loss of muscle mass in people with usage of supplements (adjusted OR 0.71 (95% CI: 0.53–0.94), p = 0.016), whereas this relationship did not present in people without usage of supplements (adjusted OR 0.96 (95% CI: 0.88–1.05), p = 0.368). Vitamin B12 intake (μg/day) was related to the loss of muscle mass in older people without usage of biguanides (adjusted OR 0.88 (95% CI: 0.79–0.97), p = 0.013), whereas this relationship did not present in older people with usage of biguanides (adjusted OR 1.04 (95% CI: 0.90–1.21), p = 0.569) (Table S1).
All analyses were adjusted for sex, age, body mass index, energy intake, and protein intake.
Moreover, Table 4 shows the results of using other cut-off levels of the loss of muscle mass of the rate of SMI reduction, ≥0.5% and ≥2.0%. Vitamin D intake (μg/day) was related to the loss of muscle mass even at different cut-off levels (cut-off point, rate of SMI reduction ≥ 0.5%, adjusted OR 0.94 (95% CI 0.89–0.99), p = 0.020; cut-off point, rate of SMI reduction ≥ 2.0%, adjusted OR 0.93 (95% CI 0.88–0.98), p = 0.006).
The correlation between vitamin D intake and the rate of SMI reduction are investigated in Figure 3. Vitamin D intake was correlated with the rate of SMI reduction (r = −0.242, p < 0.001).

4. Discussion

The present study investigated the relationship between the intake of each vitamin and the loss of muscle mass and demonstrated that participants with experience of the loss of muscle mass had lower vitamin D intake than those without, and lower vitamin D intake was related to the loss of muscle mass even after adjusting for covariates, including energy and protein intakes. In particular, older people with T2DM have a higher risk of the incidence of the loss of muscle mass and sarcopenia. However, adequate vitamin D intake may avoid the incidence of the loss of muscle mass.
Diabetes causes loss of muscle strength and mass [3], promoting muscle catabolism due to decreasing insulin signaling and increasing insulin resistance [2]. However, muscle is a primary organ for glucose metabolism [4], and people with T2DM should maintain muscle mass. Vitamin D is important not only for bone formation but also for the maintenance of skeletal muscle mass [15]. Vitamin D supplementation has the effect of increasing muscle mass [44]. Older people tend to have lower vitamin D levels due to low dietary intake and reduced ultraviolet irradiation of the skin [45,46]. In addition, previous studies have revealed that low serum vitamin D levels increased the risks of loss of muscle strength and mass and frailty [47,48], although serum vitamin D levels were not measured in the present study. It has been demonstrated that vitamin D receptor (VDR), which is activated in the presence of 1,25-dihydroxyvitamin D, the active form of vitamin D [16], is present in human skeletal muscle [49]. A recent finding showed that VDR-knockout mice showed insulin resistance with an increased FOXO1 expression in skeletal muscle [50]. Moreover, previous studies have revealed that supplementation of vitamin D in people with prediabetes or insulin resistance and inadequate vitamin D levels improves insulin sensitivity [51,52,53,54,55]. Thus, vitamin D may improve insulin sensitivity in skeletal muscle and suppress the loss of muscle mass. It has been suggested that vitamin D signaling regulates gene transcription through the VDR and also activates intracellular signaling pathways related to calcium metabolism, which is related to myoblast proliferation and differentiation [56]. Therefore, adequate vitamin D intake potentially prevents loss of skeletal muscle mass and the development of sarcopenia.
Moreover, there was an association between vitamin D intake and the loss of muscle mass in older people without adequate energy intake, whereas this was not related to the loss of muscle mass in older people with adequate energy intake. In addition to protein intake, previous reports have revealed that energy intake is also related to muscle mass reduction [3,5]. Energy intake reduction prevents the Akt-dependent signaling pathway, leading to the impairment of protein synthesis in the muscle and to the promotion of collagen accumulation and skeletal muscle fibrosis [57,58]. Thus, there is a possibility that vitamin D intake may suppress the loss of muscle mass in older people without adequate energy intake. Vitamin D was related to the loss of muscle mass in both older people with usage of supplements and those without in this study. Therefore, vitamin D may be effective in preventing the loss of muscle mass regardless of supplement usage. In this study, vitamin D intake was related to the loss of muscle mass in non-smokers only. Cigarette smoke extracts have the ability to inhibit vitamin D-induced VDR translocation and impair several vitamin D effects on skeletal muscle cells [59,60]. This suggests that VDR on skeletal muscle is inhibited in smokers, thus preventing vitamin D intake from influencing the suppression of the loss of muscle mass.
In this study, vitamin B12 intake was related to the loss of muscle mass, although the results of multivariate analysis were not statistically significant. In addition, vitamin B12 was related to the loss of muscle mass in older people without adequate energy intake. Vitamin B12 is known to affect sarcopenia, because it helps to lower serum levels of homocysteine, higher levels of which are related to the loss of muscle strength and gait speed [61,62,63]. Although homocysteine is not included in the diet, it is an essential intermediate in normal mammalian metabolism of methionine [64]. Homocysteine also has a negative effect on cardiovascular disease through its adverse effects on cardiovascular endothelium and smooth muscle cells [65]. The use of metformin for a long time is a risk factor for vitamin B12 deficiency [66]. In this study, vitamin B12 was related to the loss of muscle mass in older people without usage of biguanides, whereas this association was absent in older people with usage of biguanides. The effect of vitamin B12 on inhibiting the loss of muscle mass may be lower in older people with usage of biguanides. Therefore, vitamin B12 may be related to the loss of muscle mass; nevertheless, further study is warranted.
In the present study, vitamin B1 intake was related to the loss of muscle mass, although the results of multivariate analysis were not statistically significant. Insufficient vitamin B1 causes inadequate glucose metabolism in mitochondria [28] and low mitochondrial function leads to muscle loss [67]. However, further research about the relationship between vitamin B1 intake and the loss of muscle mass is needed.
In this study, vitamin A, vitamin C, and vitamin E intakes were not associated with the loss of muscle mass. Plasma vitamin C level is low in people with diabetes mellitus because of impaired hepatic and renal regeneration, as well as increased urinary excretion and impaired hepatic biosynthesis of vitamin C [68]. Thus, vitamin C intake might not be associated with the loss of muscle mass in people with T2DM. Additionally, the effect of vitamin intake for the loss of muscle mass may be smaller than for people in general, because T2DM is associated with oxidative stress [69]. On the other hand, vitamin A, vitamin E, and vitamin C intake were associated with frailty in a previous study [14]; nevertheless, further study is needed.
This research has certain limitations. First, this study is an observational study. Consequently, the follow-up period was different for each participant, and we adjusted the differences in the follow-up period by using the rate of SMI reduction per year. Furthermore, there might have been unknown confounding factors. Second, the data on eating habits used in this study were obtained at baseline; thus, there is a possibility that eating habits changed during the follow-up period. Furthermore, with the data on eating habits being self-reported, eating habits might not be evaluated exactly. However, a previous report showed the specifications and validity of BDHQ [36]. Third, the supplements used by participants were not identified. Finally, the use of questionnaires without any objective blood measures might also be a risk of bias since we did not evaluate any objective blood measures, such as serum vitamin D, vitamin B12, and homocysteine levels. Additionally, the present study did not consider vitamin D produced in the skin by solar energies under the ultraviolet ray’s action. Therefore, the present study could not account for total vitamin D status in the body.

5. Conclusions

The present study identified that vitamin D intake is associated with the loss of muscle mass in older people with T2DM; and so, there is a possibility that this result might not apply to a general population. To prevent the loss of muscle mass in older people with T2DM, having a higher risk of the loss of muscle mass, we should consider not only macronutrient intake, such as energy and protein intakes, but also micronutrient intake, such as vitamin D intake in older people with T2DM.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/nu13072335/s1, Table S1: Odds ratio of micronutrients intake on the incident muscle mass loss according to habit of exercise, sex, energy intake, protein intake, usage of supplements, and usage of biguanide.

Author Contributions

Conceptualization M.H.; data curation F.T., Y.H., A.K., R.S., Y.K. (Yuka Kawate), T.O. and M.H.; formal analysis Y.H. and A.K.; investigation F.T., Y.H., R.S., T.O., Y.K. (Yuriko Kondo), N.K., H.O., N.N., S.M., T.S., E.U., M.H., M.A., M.Y. and M.F.; methodology Y.H., T.F., M.H. and M.F.; project administration M.F.; validation Y.H., T.F. and M.F.; writing—original draft F.T., Y.H., A.K., R.S., Y.K. (Yuka Kawate), T.O., Y.K. (Yuriko Kondo), T.F., N.K., H.O., N.N., S.M., T.S., E.U., M.H., M.A., M.Y. and M.F.; writing—review & editing F.T., Y.H., T.O., Y.K. (Yuriko Kondo), T.F., N.K., H.O., N.N., S.M., T.S., E.U., M.H., M.A., M.Y. and M.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the Declaration of Helsinki, and approved by the Research Ethics Committee of Kyoto Prefectural University of Medicine (No. RBMR-E-466-6).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

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

Conflicts of Interest

Hashimoto has received personal fees from Sanofi K.K., Ono Phama Co., Ltd., Daiichi Sankyo Co., Ltd., Takeda Pharma Co., Ltd., Novo Nordisk Pharma Ltd., Mitsubishi Tanabe Pharma Corp., and Kowa Pharma Co., Ltd. outside the submitted work. Senmaru has received personal fees from Takeda Pharma Co., Ltd., Astellas Pharma Inc., Eli Lilly Japan K.K., Mitsubishi Tanabe Pharma Co., MSD K.K., Taisho Toyama Pharma Co., Ltd., Novo Nordisk Pharma Ltd., Sanofi K.K., Ono Pharma Co., Ltd., Kyowa Hakko Kirin Co., Ltd., Kowa Pharma Co., Ltd., and Kissei Pharma Co., Ltd. outside the submitted work. Ushigome has received grants from the Japanese Study Group for Physiology and Management of Blood Pressure, and the Astellas Foundation for Research on Metabolic Disorders. Donated Fund Laboratory of Diabetes therapeutics is a grant from Ono Pharmaceutical Co., Ltd. In addition, she has received personal fees from Sumitomo Dainippon Pharma Co., Ltd., Takeda Pharmaceutical Co., Ltd., Astellas Pharma Inc., Mitsubishi Tanabe Pharma Corp., AstraZeneca plc, Kowa Pharmaceutical Co., Ltd., Nippon Boehringer Ingelheim Co., Ltd., Novo Nordisk Pharma Ltd., Daiichi Sankyo Co., Ltd., Kyowa Hakko Kirin Company Ltd., MSD K.K., and Taisho Toyama Pharmaceutical Co., Ltd. outside the submitted work. Hamaguchi has received grants from Takeda Pharmaceutical Company Limited, Nippon Boehringer Ingelheim Co., Ltd., Novo Nordisk Pharma Ltd., Sumitomo Dainippon Pharma Co., Ltd., Daiichi Sankyo Co., Ltd., Asahi Kasei Pharma, Sanofi K.K., Astellas Pharma Inc., Kyowa Kirin Co., Ltd., Eli Lilly Japan K.K. and Mitsubishi Tanabe Pharma Corporation outside the submitted work. Asano received personal fees from Ono Pharmaceutical Co., Ltd., Kowa Pharmaceutical Co., Ltd., Novo Nordisk Pharma Ltd., Takeda Pharmaceutical Co., Ltd., AstraZeneca plc, and Abbott Japan Co., Ltd. outside the submitted work. Yamazaki reports personal fees from Takeda Pharmaceutical Company Ltd., AstraZeneca PLC, Kyowa Hakko Kirin Co., Ltd., Ono Pharma Co., Ltd., MSD K.K., Sumitomo Dainippon Pharma Co., Ltd., Kowa Company, Limited, Daiichi Sankyo Co., Ltd., and Kowa Pharmaceutical Co. Ltd. outside the submitted work. Prof. Fukui has received grants from Sanofi K.K., Ono Pharma Co., Ltd., Novo Nordisk Pharma Ltd., MSD K.K., Nippon Boehringer Ingelheim Co., Ltd., Kissei Pharma Co., Ltd., Eli Lilly Japan K.K., Kyowa Hakko Kirin Co., Ltd., Sumitomo Dainippon Pharma Co., Ltd., Mitsubishi Tanabe Pharma Co, Kowa Pharmaceutical Co., Ltd., Daiichi Sankyo Co., Ltd., Takeda Pharma Co., Ltd., Astellas Pharma Inc., Nippon Chemiphar Co., Ltd., Sanwa Kagaku Kenkyusho Co., Ltd., Taisho Pharma Co., Ltd., Abbott Japan Co., Ltd., Terumo Co., Teijin Pharma Ltd., and Johnson & Johnson K.K. Medical Co., and received personal fees from Kissei Pharma Co., Ltd., Mitsubishi Tanabe Pharma Corp., Novo Nordisk Pharma Ltd., Kyowa Kirin Co., Ltd., Bayer Yakuhin, Ltd., Nippon Boehringer Ingelheim Co., Ltd., Takeda Pharma Co., Ltd., Sanofi K.K., Teijin Pharma Ltd., Sumitomo Dainippon Pharma Co., Ltd., Eli Lilly Japan K.K., Taisho Pharma Co., Ltd., Astellas Pharma Inc., Daiichi Sankyo Co., Ltd., MSD K.K., Sanwa Kagaku Kenkyusho Co., Ltd., Ono Pharma Co., Ltd., Arkley Inc., Kowa Pharma Co., Ltd., AstraZeneca K.K., Mochida Pharma Co., Ltd., Abbott Japan Co., Ltd., Medtronic Japan Co., Ltd., and Nipro Cor. outside the submitted work.

References

  1. Bradley, D.; Hsueh, W. Type 2 Diabetes in the Elderly: Challenges in a Unique Patient Population. J. Geriatr. Med. Gerontol. 2016, 2, 14. [Google Scholar] [CrossRef] [PubMed]
  2. Umegaki, H. Sarcopenia and frailty in older patients with diabetes mellitus. Geriatr. Gerontol. Int. 2016, 16, 293–299. [Google Scholar] [CrossRef] [PubMed]
  3. Morley, J.E.; Malmstrom, T.K.; Rodriguez-Mañas, L.; Sinclair, A.J. Frailty, sarcopenia and diabetes. J. Am. Med. Dir. Assoc. 2014, 15, 853–859. [Google Scholar] [CrossRef] [PubMed]
  4. DeFronzo, R.A.; Tripathy, D. Skeletal muscle insulin resistance is the primary defect in type 2 diabetes. Diabetes Care 2009, 2 (Suppl. 2), S157–S163. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Okamura, T.; Miki, A.; Hashimoto, Y.; Kaji, A.; Sakai, R.; Osaka, T.; Hamaguchi, M.; Yamazaki, M.; Fukui, M. Shortage of energy intake rather than protein intake is associated with sarcopenia in elderly patients with type 2 diabetes: A cross-sectional study of the KAMOGAWA-DM cohort. J. Diabetes 2019, 11, 477–483. [Google Scholar] [CrossRef]
  6. Hashimoto, Y.; Kaji, A.; Sakai, R.; Hamaguchi, M.; Okada, H.; Ushigome, E.; Asano, M.; Yamazaki, M.; Fukui, M. Sarcopenia is associated with blood pressure variability in older patients with type 2 diabetes: A cross-sectional study of the KAMOGAWA-DM cohort study. Geriatr. Gerontol. Int. 2018, 18, 1345–1349. [Google Scholar] [CrossRef]
  7. Lai, S.; Muscaritoli, M.; Andreozzi, P.; Sgreccia, A.; De Leo, S.; Mazzaferro, S.; Mitterhofer, A.P.; Pasquali, M.; Protopapa, P.; Spagnoli, A.; et al. Sarcopenia and cardiovascular risk indices in patients with chronic kidney disease on conservative and replacement therapy. Nutrition 2019, 62, 108–114. [Google Scholar] [CrossRef]
  8. Kelley, G.A.; Kelley, K.S. Is sarcopenia associated with an increased risk of all-cause mortality and functional disability? Exp. Gerontol. 2017, 96, 100–103. [Google Scholar] [CrossRef]
  9. Landi, F.; Cruz-Jentoft, A.J.; Liperoti, R.; Russo, A.; Giovannini, S.; Tosato, M.; Capoluongo, E.; Bernabei, R.; Onder, G. Sarcopenia and mortality risk in frail older persons aged 80 years and older: Results from ilSIRENTE study. Age Ageing 2013, 42, 203–209. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Hashimoto, Y.; Kaji, A.; Sakai, R.; Takahashi, F.; Kawano, R.; Hamaguchi, M.; Fukui, M. Effect of Exercise Habit on Skeletal Muscle Mass Varies with Protein Intake in Elderly Patients with Type 2 Diabetes: A Retrospective Cohort Study. Nutrients 2020, 12, 3220. [Google Scholar] [CrossRef]
  11. Kawano, R.; Takahashi, F.; Hashimoto, Y.; Okamura, T.; Miki, A.; Kaji, A.; Sakai, R.; Kitagawa, N.; Senmaru, T.; Majima, S.; et al. Short energy intake is associated with muscle mass loss in older patients with type 2 diabetes: A prospective study of the KAMOGAWA-DM cohort. Clin. Nutr. 2021, 40, 1613–1620. [Google Scholar] [CrossRef]
  12. Volkert, D.; Beck, A.M.; Cederholm, T.; Cruz-Jentoft, A.; Goisser, S.; Hooper, L.; Kiesswetter, E.; Maggio, M.; Raynaud-Simon, A.; Sieber, C.C.; et al. ESPEN guideline on clinical nutrition and hydration in geriatrics. Clin. Nutr. 2019, 38, 10–47. [Google Scholar] [CrossRef] [Green Version]
  13. Santiago, E.; Roriz, A.; Ramos, L.B.; Ferreira, A.; Oliveira, C.C.; Gomes-Neto, M. Comparison of calorie and nutrient intake among elderly with and without sarcopenia: A systematic review and meta-analysis. Nutr. Rev. 2021, nuaa145. [Google Scholar] [CrossRef]
  14. Balboa-Castillo, T.; Struijk, E.A.; Lopez-Garcia, E.; Banegas, J.R.; Rodríguez-Artalejo, F.; Guallar-Castillon, P. Low vitamin intake is associated with risk of frailty in older adults. Age Ageing 2018, 47, 872–879. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Wintermeyer, E.; Ihle, C.; Ehnert, S.; Stöckle, U.; Ochs, G.; de Zwart, P.; Flesch, I.; Bahrs, C.; Nussler, A.K. Crucial Role of Vitamin D in the Musculoskeletal System. Nutrients 2016, 8, 319. [Google Scholar] [CrossRef] [PubMed]
  16. Hirose, Y.; Onishi, T.; Miura, S.; Hatazawa, Y.; Kamei, Y. Vitamin D Attenuates FOXO1-Target Atrophy Gene Expression in C2C12 Muscle Cells. J. Nutr. Sci. Vitaminol. (Tokyo) 2018, 64, 229–232. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Lappe, J.M.; Binkley, N. Vitamin D and Sarcopenia/Falls. J. Clin. Densitom. 2015, 18, 478–482. [Google Scholar] [CrossRef] [PubMed]
  18. Houston, D.K.; Cesari, M.; Ferrucci, L.; Cherubini, A.; Maggio, D.; Bartali, B.; Johnson, M.A.; Schwartz, G.G.; Kritchevsky, S.B. Association between vitamin D status and physical performance: The InCHIANTI study. J. Gerontol. A Biol. Sci. Med. Sci. 2007, 62, 440–446. [Google Scholar] [CrossRef] [PubMed]
  19. Bartali, B.; Frongillo, E.A.; Bandinelli, S.; Lauretani, F.; Semba, R.D.; Fried, L.P.; Ferrucci, L. Low nutrient intake is an essential component of frailty in older persons. J. Gerontol. A Biol. Sci. Med. Sci. 2006, 61, 589–593. [Google Scholar] [CrossRef]
  20. Kositsawat, J.; Kuo, C.L.; Barry, L.C.; Melzer, D.; Bandinelli, S.; Ferrucci, L.; Wu, R.; Kuchel, G.A. Interaction between Vitamin D and Interleukin 6 on Slow Gait Speed: 6-Year Follow-up Data of Older Adults from InCHIANTI. J. Gerontol. A Biol. Sci. Med. Sci. 2020, 75, 1161–1166. [Google Scholar] [CrossRef]
  21. Verlaan, S.; Aspray, T.J.; Bauer, J.M.; Cederholm, T.; Hemsworth, J.; Hill, T.R.; McPhee, J.S.; Piasecki, M.; Seal, C.; Sieber, C.C.; et al. Nutritional status, body composition, and quality of life in community-dwelling sarcopenic and non-sarcopenic older adults: A case-control study. Clin. Nutr. 2017, 36, 267–274. [Google Scholar] [CrossRef] [Green Version]
  22. Villamor, E.; Fawzi, W.W. Effects of vitamin a supplementation on immune responses and correlation with clinical outcomes. Clin. Microbiol. Rev. 2005, 18, 446–464. [Google Scholar] [CrossRef] [Green Version]
  23. Qian, B.; Shen, S.; Zhang, J.; Jing, P. Effects of Vitamin B6 Deficiency on the Composition and Functional Potential of T Cell Populations. J. Immunol. Res. 2017, 2017, 2197975. [Google Scholar] [CrossRef] [Green Version]
  24. Padayatty, S.J.; Katz, A.; Wang, Y.; Eck, P.; Kwon, O.; Lee, J.H.; Chen, S.; Corpe, C.; Dutta, A.; Dutta, S.K.; et al. Vitamin C as an antioxidant: Evaluation of its role in disease prevention. J. Am. Coll. Nutr. 2003, 22, 18–35. [Google Scholar] [CrossRef] [PubMed]
  25. Aĭdarkhanov, B.B.; Lokshina, E.A.; Lenskaia, E.G. Molekuliarnye aspekty makhanizma antiokislitel’noĭ aktivnost’ vitamina E: Osobennosti deĭstviia alpha- i gamma-tokoferolov [Molecular aspects of the mechanism of anti-oxidant activity of vitamin E: Features of the action of alpha- and gamma-tocopherol]. Vopr. Med. Khim. 1989, 35, 2–9. [Google Scholar]
  26. Gori, A.M.; Sofi, F.; Corsi, A.M.; Gazzini, A.; Sestini, I.; Lauretani, F.; Bandinelli, S.; Gensini, G.F.; Ferrucci, L.; Abbate, R. Predictors of vitamin B6 and folate concentrations in older persons: The InCHIANTI study. Clin. Chem. 2006, 52, 1318–1324. [Google Scholar] [CrossRef] [PubMed]
  27. Ble, A.; Cherubini, A.; Volpato, S.; Bartali, B.; Walston, J.D.; Windham, B.G.; Bandinelli, S.; Lauretani, F.; Guralnik, J.M.; Ferrucci, L. Lower plasma vitamin E levels are associated with the frailty syndrome: The InCHIANTI study. J. Gerontol. A Biol. Sci. Med. Sci. 2006, 61, 278–283. [Google Scholar] [CrossRef] [Green Version]
  28. Manzetti, S.; Zhang, J.; van der Spoel, D. Thiamin function, metabolism, uptake, and transport. Biochemistry 2014, 53, 821–835. [Google Scholar] [CrossRef] [PubMed]
  29. Thakur, K.; Tomar, S.K.; Singh, A.K.; Mandal, S.; Arora, S. Riboflavin and health: A review of recent human research. Crit. Rev. Food Sci. Nutr. 2017, 57, 3650–3660. [Google Scholar] [CrossRef] [PubMed]
  30. Sakai, R.; Hashimoto, Y.; Ushigome, E.; Miki, A.; Okamura, T.; Matsugasumi, M.; Fukuda, T.; Majima, S.; Matsumoto, S.; Senmaru, T.; et al. Late-night-dinner is associated with poor glycemic control in people with type 2 diabetes: The KAMOGAWA-DM cohort study. Endocr. J. 2018, 65, 395–402. [Google Scholar] [CrossRef] [Green Version]
  31. Kaji, A.; Hashimoto, Y.; Sakai, R.; Okada, H.; Hamaguchi, M.; Ushigome, E.; Majima, S.; Yamazaki, M.; Fukui, M. Frequent Usage of Convenience Stores is Associated with Low Diet Quality. Nutrients 2019, 11, 1212. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Murakami, K.; Sasaki, S.; Takahashi, Y.; Okubo, H.; Hosoi, Y.; Horiguchi, H.; Oguma, E.; Kayama, F. Dietary glycemic index and load in relation to metabolic risk factors in Japanese female farmers with traditional dietary habits. Am. J. Clin. Nutr. 2006, 83, 1161–1169. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Matsuo, S.; Imai, E.; Horio, M.; Yasuda, Y.; Tomita, K.; Nitta, K.; Yamagata, K.; Tomino, Y.; Yokoyama, H.; Hishida, A.; et al. Revised equations for estimated GFR from serum creatinine in Japan. Am. J. Kidney Dis. 2009, 53, 982–992. [Google Scholar] [CrossRef] [PubMed]
  34. Kim, M.; Shinkai, S.; Murayama, H.; Mori, S. Comparison of segmental multifrequency bioelectrical impedance analysis with dual-energy X-ray absorptiometry for the assessment of body composition in a community-dwelling older population. Geriatr. Gerontol. Int. 2015, 15, 1013–1022. [Google Scholar] [CrossRef]
  35. Lemmens, H.J.; Brodsky, J.B.; Bernstein, D.P. Estimating ideal body weight—A new formula. Obes. Surg. 2005, 15, 1082–1083. [Google Scholar] [CrossRef]
  36. Kobayashi, S.; Honda, S.; Murakami, K.; Sasaki, S.; Okubo, H.; Hirota, N.; Notsu, A.; Fukui, M.; Date, C. Both comprehensive and brief self-administered diet history questionnaires satisfactorily rank nutrient intakes in Japanese adults. J. Epidemiol. 2012, 22, 151–159. [Google Scholar] [CrossRef] [Green Version]
  37. Hashimoto, Y.; Tanaka, M.; Miki, A.; Kobayashi, Y.; Wada, S.; Kuwahata, M.; Kido, Y.; Yamazaki, M.; Fukui, M. Intake of Carbohydrate to Fiber Ratio Is a Useful Marker for Metabolic Syndrome in Patients with Type 2 Diabetes: A Cross-Sectional Study. Ann. Nutr. Metab. 2018, 72, 329–335. [Google Scholar] [CrossRef]
  38. Muscariello, E.; Nasti, G.; Siervo, M.; Di Maro, M.; Lapi, D.; D’Addio, G.; Colantuoni, A. Dietary protein intake in sarcopenic obese older women. Clin. Interv. Aging 2016, 11, 133–140. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Bell, K.E.; von Allmen, M.T.; Devries, M.C.; Phillips, S.M. Muscle Disuse as a Pivotal Problem in Sarcopenia-related Muscle Loss and Dysfunction. J. Frailty Aging 2016, 5, 33–41. [Google Scholar]
  40. Sasaki, T.; Sugawara, M.; Fukuda, M. Sodium-glucose cotransporter 2 inhibitor-induced changes in body composition and simultaneous changes in metabolic profile: 52-week prospective LIGHT (Luseogliflozin: The Components of Weight Loss in Japanese Patients with Type 2 Diabetes Mellitus) Study. J. Diabetes Investig. 2019, 10, 108–117. [Google Scholar] [CrossRef]
  41. Perna, S.; Guido, D.; Bologna, C.; Solerte, S.B.; Guerriero, F.; Isu, A.; Rondanelli, M. Liraglutide and obesity in elderly: Efficacy in fat loss and safety in order to prevent sarcopenia. A perspective case series study. Aging Clin. Exp. Res. 2016, 28, 1251–1257. [Google Scholar] [CrossRef]
  42. von Haehling, S.; Morley, J.E.; Anker, S.D. An overview of sarcopenia: Facts and numbers on prevalence and clinical impact. J. Cachexia Sarcopenia Muscle 2010, 1, 129–133. [Google Scholar] [CrossRef]
  43. Kanda, Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transplant. 2013, 48, 452–458. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. El Hajj, C.; Fares, S.; Chardigny, J.M.; Boirie, Y.; Walrand, S. Vitamin D supplementation and muscle strength in pre-sarcopenic elderly Lebanese people: A randomized controlled trial. Arch. Osteoporos. 2018, 14, 4. [Google Scholar] [CrossRef]
  45. Nasri, H.; Ardalan, M.R. Association of serum vitamin D level with age in individuals with normal renal function. J. Nephropharmacol. 2012, 1, 7–9. [Google Scholar]
  46. Remelli, F.; Vitali, A.; Zurlo, A.; Volpato, S. Vitamin D Deficiency and Sarcopenia in Older Persons. Nutrients 2019, 11, 2861. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Visser, M.; Deeg, D.J.; Lips, P. Low vitamin D and high parathyroid hormone levels as determinants of loss of muscle strength and muscle mass (sarcopenia): The Longitudinal Aging Study Amsterdam. J. Clin. Endocrinol. Metab. 2003, 88, 5766–5772. [Google Scholar] [CrossRef] [PubMed]
  48. Ju, S.Y.; Lee, J.Y.; Kim, D.H. Low 25-hydroxyvitamin D levels and the risk of frailty syndrome: A systematic review and dose-response meta-analysis. BMC Geriatr. 2018, 18, 206. [Google Scholar] [CrossRef]
  49. Bischoff, H.A.; Borchers, M.; Gudat, F.; Duermueller, U.; Theiler, R.; Stähelin, H.B.; Dick, W. In situ detection of 1,25-dihydroxyvitamin D3 receptor in human skeletal muscle tissue. Histochem. J. 2001, 33, 19–24. [Google Scholar] [CrossRef]
  50. Chen, S.; Villalta, S.A.; Agrawal, D.K. FOXO1 Mediates Vitamin D Deficiency-Induced Insulin Resistance in Skeletal Muscle. J. Bone Miner. Res. 2016, 31, 585–595. [Google Scholar] [CrossRef] [Green Version]
  51. Nazarian, S.; St Peter, J.V.; Boston, R.C.; Jones, S.A.; Mariash, C.N. Vitamin D3 supplementation improves insulin sensitivity in subjects with impaired fasting glucose. Transl. Res. 2011, 158, 276–281. [Google Scholar] [CrossRef] [Green Version]
  52. Parildar, H.; Cigerli, O.; Unal, D.A.; Gulmez, O.; Demirag, N.G. The impact of Vitamin D Replacement on Glucose Metabolism. Pak. J. Med. Sci. 2013, 29, 1311–1314. [Google Scholar] [CrossRef]
  53. Naharci, I.; Bozoglu, E.; Kocak, N.; Doganci, S.; Doruk, H.; Serdar, M. Effect of vitamin D on insulin sensitivity in elderly patients with impaired fasting glucose. Geriatr. Gerontol. Int. 2012, 12, 454–460. [Google Scholar] [CrossRef]
  54. von Hurst, P.R.; Stonehouse, W.; Coad, J. Vitamin D supplementation reduces insulin resistance in South Asian women living in New Zealand who are insulin resistant and vitamin D deficient—A randomised, placebo-controlled trial. Br. J. Nutr. 2010, 103, 549–555. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Pittas, A.G.; Harris, S.S.; Stark, P.C.; Dawson-Hughes, B. The effects of calcium and vitamin D supplementation on blood glucose and markers of inflammation in nondiabetic adults. Diabetes Care 2007, 30, 980–986. [Google Scholar] [CrossRef] [Green Version]
  56. Garcia, L.A.; King, K.K.; Ferrini, M.G.; Norris, K.C.; Artaza, J.N. 1,25(OH)2vitamin D3 stimulates myogenic differentiation by inhibiting cell proliferation and modulating the expression of promyogenic growth factors and myostatin in C2C12 skeletal muscle cells. Endocrinology 2011, 152, 2976–2986. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Zhao, J.X.; Liu, X.D.; Li, K.; Liu, W.Z.; Ren, Y.S.; Zhang, J.X. Different dietary energy intake affects skeletal muscle development through an Akt-dependent pathway in Dorper × Small Thin-Tailed crossbred ewe lambs. Domest. Anim. Endocrinol. 2016, 57, 63–70. [Google Scholar] [CrossRef] [PubMed]
  58. Zhao, J.X.; Liu, X.D.; Zhang, J.X.; Li, H.Q. Effect of different dietary energy on collagen accumulation in skeletal muscle of ram lambs. J. Anim. Sci. 2015, 93, 4200–4210. [Google Scholar] [CrossRef]
  59. Uh, S.T.; Koo, S.M.; Kim, Y.K.; Kim, K.U.; Park, S.W.; Jang, A.S.; Kim, D.J.; Kim, Y.H.; Park, C.S. Inhibition of vitamin d receptor translocation by cigarette smoking extracts. Tuberc. Respir. Dis. 2012, 73, 258–265. [Google Scholar] [CrossRef] [Green Version]
  60. Liu, Q.; Xu, W.G.; Luo, Y.; Han, F.F.; Yao, X.H.; Yang, T.Y.; Zhang, Y.; Pi, W.F.; Guo, X.J. Cigarette smoke-induced skeletal muscle atrophy is associated with up-regulation of USP-19 via p38 and ERK MAPKs. J. Cell. Biochem. 2011, 112, 2307–2316. [Google Scholar] [CrossRef]
  61. Kuo, H.K.; Liao, K.C.; Leveille, S.G.; Bean, J.F.; Yen, C.J.; Chen, J.H.; Yu, Y.H.; Tai, T.Y. Relationship of homocysteine levels to quadriceps strength, gait speed, and late-life disability in older adults. J. Gerontol. A. Biol. Sci. Med. Sci. 2007, 62, 434–439. [Google Scholar] [CrossRef] [Green Version]
  62. Kado, D.M.; Bucur, A.; Selhub, J.; Rowe, J.W.; Seeman, T. Homocysteine levels and decline in physical function: MacArthur Studies of Successful Aging. Am. J. Med. 2002, 113, 537–542. [Google Scholar] [CrossRef]
  63. Koehler, K.M.; Romero, L.J.; Stauber, P.M.; Pareo-Tubbeh, S.L.; Liang, H.C.; Baumgartner, R.N.; Garry, P.J.; Allen, R.H.; Stabler, S.P. Vitamin supplementation and other variables affecting serum homocysteine and methylmalonic acid concentrations in elderly men and women. J. Am. Coll. Nutr. 1996, 15, 364–376. [Google Scholar] [CrossRef] [PubMed]
  64. Finkelstein, J.D.; Martin, J.J. Homocysteine. Int. J. Biochem. Cell. Biol. 2000, 32, 385–389. [Google Scholar] [CrossRef]
  65. Ganguly, P.; Alam, S.F. Role of homocysteine in the development of cardiovascular disease. Nutr. J. 2015, 14, 6. [Google Scholar] [CrossRef] [Green Version]
  66. Aroda, V.R.; Edelstein, S.L.; Goldberg, R.B.; Knowler, W.C.; Marcovina, S.M.; Orchard, T.J.; Bray, G.A.; Schade, D.S.; Temprosa, M.G.; White, N.H.; et al. Long-term Metformin Use and Vitamin B12 Deficiency in the Diabetes Prevention Program Outcomes Study. J. Clin. Endocrinol. Metab. 2016, 101, 1754–1761. [Google Scholar] [CrossRef]
  67. Sudevan, S.; Takiura, M.; Kubota, Y.; Higashitani, N.; Cooke, M.; Ellwood, R.A.; Etheridge, T.; Szewczyk, N.J.; Higashitani, A. Mitochondrial dysfunction causes Ca2+ overload and ECM degradation-mediated muscle damage in C. elegans. FASEB J. 2019, 33, 9540–9550. [Google Scholar] [CrossRef]
  68. Kashiba, M.; Oka, J.; Ichikawa, R.; Kasahara, E.; Inayama, T.; Kageyama, A.; Kageyama, H.; Osaka, T.; Umegaki, K.; Matsumoto, A.; et al. Impaired ascorbic acid metabolism in streptozotocin-induced diabetic rats. Free Radic. Biol. Med. 2002, 33, 1221–1230. [Google Scholar] [CrossRef]
  69. Gopaul, N.K.; Manraj, M.D.; Hébé, A.; Lee Kwai Yan, S.; Johnston, A.; Carrier, M.J.; Anggård, E.E. Oxidative stress could precede endothelial dysfunction and insulin resistance in Indian Mauritians with impaired glucose metabolism. Diabetologia 2001, 44, 706–712. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Nutrients 13 02335 g001 550
Figure 1. Inclusion and exclusion flow.
Figure 1. Inclusion and exclusion flow.
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Figure 2. Odds ratio of vitamin D intake on the loss of muscle mass according to the groups.
Figure 2. Odds ratio of vitamin D intake on the loss of muscle mass according to the groups.
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Figure 3. The correlation between vitamin D intake and the rate of SMI reduction. SMI, skeletal muscle mass index.
Figure 3. The correlation between vitamin D intake and the rate of SMI reduction. SMI, skeletal muscle mass index.
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Table
Table 1. Clinical characteristics at baseline of study participants.
Table 1. Clinical characteristics at baseline of study participants.
All
n= 197		Loss of Muscle Mass
(−)
n = 104		Loss of Muscle Mass
(+)
n = 93		p
Age (years)72.3 (5.2)72.3 (5.1)72.3 (5.3)0.983
Sex (men/women)112/8554/5058/350.182
Duration of diabetes (years)16.1 (10.1)15.5 (9.6)16.8 (10.6)0.381
Family history of diabetes (−/+)115/8262/4253/400.819
BMI (kg/m2)23.7 (3.9)23.6 (3.2)23.9 (4.5)0.529
Appendicular muscle mass at baseline (kg)19.6 (4.3)17.3 (4.0)18.2 (3.6)0.103
Appendicular muscle mass at follow-up (kg)17.5 (3.9)17.6 (4.1)17.4 (3.7)0.700
SMI at baseline (kg/m2)6.9 (0.9)6.7 (1.0)7.0 (0.9)0.048
SMI at follow-up (kg/m2)6.8 (1.0)6.8 (1.0)6.7 (0.9)0.212
SBP (mmHg)134.0 (18.9)133.8 (19.1)134.3 (18.7)0.873
DBP (mmHg)77.1 (10.5)77.0 (11.2)77.3 (9.7)0.830
Insulin (−/+)144/5377/2767/260.877
Sodium glucose cotransporter-2 inhibitor (−/+)172/2591/1381/121.000
Glucagon-like peptide-1 agonist (−/+)174/2388/1686/70.136
Biguanides (−/+)132/6565/3967/260.204
Steroids usage (−/+)192/5103/189/40.301
Habit of smoking (−/+)169/2890/1479/140.908
Habit of exercise (−/+)85/11241/6344/490.331
Triglycerides (mmol/L)1.4 (0.9)1.4 (0.9)1.5 (1.0)0.755
HDL cholesterol (mmol/L)1.6 (0.4)1.6 (0.4)1.6 (0.4)0.820
Blood glucose levels (mmol/L)8.2 (2.8)8.2 (2.6)8.2 (3.1)0.866
HbA1c (mmol/mol)55.3 (10.7)54.9 (10.7)55.8 (10.7)0.533
HbA1c (%)7.2 (1.0)7.2 (1.0)7.3 (1.0)0.533
Creatinine (umol/L)74.8 (26.1)71.7 (23.9)78.4 (28.0)0.070
eGFR (mL/min/1.73 m2)65.6 (17.5)67.0 (17.0)64.1 (18.0)0.241
Uric acid (mmol/L)310.4 (71.3)307.2 (66.7)313.0 (76.2)0.513
Data were expressed as number or mean (standard deviation). The difference between groups was assessed by chi-square test or Student’s t-test. BMI, Body mass index; SMI, Skeletal muscle mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; HDL, high-density lipoprotein; eGFR, estimated glomerular filtration rate.
Table
Table 2. Habitual dietary intake at baseline of study participants.
Table 2. Habitual dietary intake at baseline of study participants.
All
n = 197		Loss of Muscle Mass
(−)
n = 81		Loss of Muscle Mass
(+)
n = 93		p
Total energy (kcal/day)1746.4 (596.3)1818.8 (596.1)1665.4 (589.2)0.071
Energy (kcal/IBW/day)30.9 (10.0)32.5 (10.1)29.2 (9.7)0.021
Total protein (g/day)75.3 (30.3)79.5 (29.0)70.6 (31.3)0.040
Protein (g/BW/day)1.3 (0.6)1.4 (0.5)1.2 (0.6)0.079
Protein per energy (%)17.3 (3.6)17.8 (4.1)16.8 (3.0)0.058
Animal protein (g/day)47.2 (23.8)50.7 (23.1)43.2 (24.1)0.026
Animal protein (g/BW/day)0.8 (0.4)0.9 (0.4)0.7 (0.5)0.045
Vegetable protein (g/day)28.1 (9.7)28.7 (9.7)27.4 (9.8)0.348
Vegetable protein (g/BW/day)0.5 (0.2)0.5 (0.2)0.5 (0.2)0.285
Animal/vegetable protein ratio1.8 (1.0)1.9 (1.2)1.6 (0.6)0.017
Total fat (g/day)55.6 (22.1)58.2 (21.0)52.8 (23.1)0.088
Fat (g/IBW/day)1.0 (0.4)1.1 (0.4)0.9 (0.4)0.034
Fat per energy (%)28.9 (6.5)29.3 (6.8)28.4 (6.1)0.300
Total carbohydrate (g/day)218.1 (82.2)225.3 (86.0)210.1 (77.3)0.197
Carbohydrate (g/IBW/day)3.9 (1.4)4.0 (1.5)3.7 (1.2)0.089
Carbohydrate per energy (%)50.2 (9.1)49.3 (9.7)51.2 (8.3)0.138
Dietary fiber (g/day)12.5 (5.3)12.9 (5.4)12.1 (5.3)0.308
Carbohydrate/fiber ratio18.9 (7.1)18.8 (6.8)19.1 (7.4)0.752
Alcohol consumption (g/day)7.5 (17.4)8.1 (19.3)6.9 (15.1)0.631
Vitamin A (µg RAE/day) 807.6 (612.0)824.7 (596.1)788.4 (632.0)0.679
Vitamin E (mg/day)7.9 (3.1)8.2 (3.0)7.6 (3.2)0.130
Vitamin B1 (mg/day)0.8 (0.3)0.8 (0.3)0.8 (0.3)0.031
Vitamin B2 (mg/day)1.5 (0.6)1.5 (0.5)1.4 (0.6)0.175
Vitamin B6 (mg/day)1.4 (0.6)1.4 (0.5)1.3 (0.6)0.075
Vitamin B12 (µg/day)12.4 (8.0)13.4 (7.5)11.2 (8.3)0.049
Vitamin C (mg/day)126.2 (62.5)129.7 (66.2)122.4 (58.3)0.412
Vitamin D (µg/day)19.2 (12.9)21.6 (13.0)16.5 (12.2)0.004
Data were expressed as number or mean (standard deviation). The difference between groups was assessed by chi-square test or Student’s t test. IBW, ideal body weight; BW, body weight.
Table
Table 3. Odds ratio of the quantity of vitamin intake on the presence of the loss of muscle mass.
Table 3. Odds ratio of the quantity of vitamin intake on the presence of the loss of muscle mass.
Model 1Model 2Model 3
OR (95% CI)pOR (95% CI)pOR (95% CI)p
Vitamin A (µg RAE/day)1.00 (1.00–1.00)0.6791.00 (1.00–1.00)0.6371.00 (1.00–1.00)0.471
Vitamin E (mg/day)0.93 (0.85–1.02)0.1320.96 (0.80–1.14)0.6160.95 (0.79–1.13)0.556
Vitamin B1 (mg/day)0.36 (0.14–0.93)0.0340.15 (0.02–1.28)0.0830.13 (0.01–1.23)0.075
Vitamin B2 (mg/day)0.70 (0.42–1.17)0.1760.79 (0.25–2.51)0.6940.77 (0.23–2.53)0.664
Vitamin B6 (mg/day)0.63 (0.38–1.05)0.0780.42 (0.11–1.57)0.1970.43 (0.11–1.72)0.233
Vitamin B12 (µg/day)0.96 (0.93–1.00)0.0540.92 (0.84–1.00)0.0380.93 (0.85–1.01)0.090
Vitamin C (mg/day)1.00 (0.99–1.00)0.4111.00 (1.00–1.01)0.9961.00 (0.99–1.01)0.953
Vitamin D (µg/day)0.97 (0.94–0.99)0.0060.91 (0.87–0.96)<0.0010.93 (0.88–0.97)0.003
Model 1 is unadjusted; Model 2 is adjusted for sex, age, insulin treatment, body mass index, skeletal muscle mass index, smoking habit, exercise habit, energy intake, protein intake, habitual alcohol consumption; Model 3 is adjusted for covariates of Model 2 and creatinine, HbA1c, GLP-1 agonist, SGLT2 inhibitor.
Table
Table 4. Odds ratio of the quantity of vitamin intake on the presence of the loss of muscle mass according to the difference cut-off point.
Table 4. Odds ratio of the quantity of vitamin intake on the presence of the loss of muscle mass according to the difference cut-off point.
Cut-Off Point; Rate of SMI Reduction ≥ 0.5%
Model 1Model 2Model 3
OR (95% CI)pOR (95% CI)pOR (95% CI)p
Vitamin A (µgRAE/day)1.00 (1.00–1.00)0.7701.00 (1.00–1.00)0.6671.00 (1.00–1.00)0.684
Vitamin E (mg/day)0.94 (0.85–1.03)0.1660.94 (0.79–1.13)0.5170.94 (0.78–1.14)0.535
Vitamin B1 (mg/day)0.48 (0.19–1.20)0.1170.29 (0.04–2.33)0.2430.32 (0.04–2.79)0.303
Vitamin B2 (mg/day)0.72 (0.43–1.21)0.2140.53 (0.16–1.69)0.2830.56 (0.17–1.91)0.355
Vitamin B6 (mg/day)0.71 (0.43–1.16)0.1700.57 (0.16–2.09)0.3990.68 (0.18–2.59)0.570
Vitamin B12 (µg/day)0.97 (0.93–1.01)0.0900.93 (0.86–1.01)0.1010.94 (0.86–1.02)0.145
Vitamin C (mg/day)1.00 (1.00–1.00)0.9011.00 (1.00–1.01)0.3881.00 (1.00–1.01)0.327
Vitamin D (µg/day)0.97 (0.95–1.00)0.0210.94 (0.89–0.98)0.0070.94 (0.89–0.99)0.020
Cut-Off Point; Rate of SMI Reduction ≥ 2.0%
Model 1Model 2Model 3
OR (95% CI)pOR (95% CI)pOR (95% CI)p
Vitamin A (µgRAE/day)1.00 (1.00–1.000.5631.00 (1.00–1.00)0.8831.00 (1.00–1.00)0.727
Vitamin E (mg/day)0.95 (0.87–1.05)0.3350.96 (0.80–1.14)0.6350.94 (0.78–1.12)0.485
Vitamin B1 (mg/day)0.56 (0.21–1.47)0.2370.40 (0.05–3.47)0.4060.32 (0.03–3.00)0.320
Vitamin B2 (mg/day)0.75 (0.44–1.28)0.2910.60 (0.18–1.98)0.3990.61 (0.18–2.10)0.435
Vitamin B6 (mg/day)0.83 (0.50–1.38)0.4741.05 (0.28–3.95)0.9461.11 (0.28–4.37)0.887
Vitamin B12 (µg/day)0.97 (0.94–1.01)0.1880.92 (0.85–1.00)0.0630.93 (0.85–1.02)0.120
Vitamin C (mg/day)1.00 (1.00–1.00)0.9271.00 (1.00–1.01)0.7031.00 (0.99–1.01)0.869
Vitamin D (µg/day)0.98 (0.95–1.00)0.0540.92 (0.88–0.97)0.0020.93 (0.88–0.98)0.006
Model 1 is unadjusted; Model 2 is adjusted for sex, age, body mass index, skeletal muscle mass index, habit of smoking, habit of exercise, insulin treatment, energy intake, protein intake, habitual alcohol consumption; Model 3 is adjusted for covariates of Model 2 and creatinine, HbA1c, GLP-1 agonist, SGLT2 inhibitor.
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Takahashi, F.; Hashimoto, Y.; Kaji, A.; Sakai, R.; Kawate, Y.; Okamura, T.; Kondo, Y.; Fukuda, T.; Kitagawa, N.; Okada, H.; et al. Vitamin Intake and Loss of Muscle Mass in Older People with Type 2 Diabetes: A Prospective Study of the KAMOGAWA-DM Cohort. Nutrients 2021, 13, 2335. https://doi.org/10.3390/nu13072335

AMA Style

Takahashi F, Hashimoto Y, Kaji A, Sakai R, Kawate Y, Okamura T, Kondo Y, Fukuda T, Kitagawa N, Okada H, et al. Vitamin Intake and Loss of Muscle Mass in Older People with Type 2 Diabetes: A Prospective Study of the KAMOGAWA-DM Cohort. Nutrients. 2021; 13(7):2335. https://doi.org/10.3390/nu13072335

Chicago/Turabian Style

Takahashi, Fuyuko, Yoshitaka Hashimoto, Ayumi Kaji, Ryosuke Sakai, Yuka Kawate, Takuro Okamura, Yuriko Kondo, Takuya Fukuda, Noriyuki Kitagawa, Hiroshi Okada, and et al. 2021. "Vitamin Intake and Loss of Muscle Mass in Older People with Type 2 Diabetes: A Prospective Study of the KAMOGAWA-DM Cohort" Nutrients 13, no. 7: 2335. https://doi.org/10.3390/nu13072335

APA Style

Takahashi, F., Hashimoto, Y., Kaji, A., Sakai, R., Kawate, Y., Okamura, T., Kondo, Y., Fukuda, T., Kitagawa, N., Okada, H., Nakanishi, N., Majima, S., Senmaru, T., Ushigome, E., Hamaguchi, M., Asano, M., Yamazaki, M., & Fukui, M. (2021). Vitamin Intake and Loss of Muscle Mass in Older People with Type 2 Diabetes: A Prospective Study of the KAMOGAWA-DM Cohort. Nutrients, 13(7), 2335. https://doi.org/10.3390/nu13072335

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