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Article

Perioperative Glutamine Supplementation May Restore Atrophy of Psoas Muscles in Gastric Adenocarcinoma Patients Undergoing Gastrectomy

1
Department of Surgery, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei 100, Taiwan
2
Department of Surgery, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu County 300, Taiwan
3
Department of Surgery, National Taiwan University Hospital Jin-Shan Branch, New Taipei City 208, Taiwan
4
Department of Medical Imaging, National Taiwan University Cancer Center, Taipei 106, Taiwan
5
Department of Medical Imaging, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei 100, Taiwan
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Nutrients 2024, 16(14), 2301; https://doi.org/10.3390/nu16142301
Submission received: 21 June 2024 / Revised: 11 July 2024 / Accepted: 14 July 2024 / Published: 17 July 2024

Abstract

:
Background: Sarcopenia, characterized by degenerative skeletal muscle loss, is increasingly linked to poor surgical outcomes. Glutamine, an immune-modulating formula, may stimulate muscle protein synthesis and inhibit degradation. We used the psoas major muscle area (PMMA) at the third lumbar vertebra, normalized for height (PMMA index), as a skeletal muscle indicator. This study investigates whether perioperative glutamine supplementation mitigates psoas muscle atrophy. Methods: We enrolled gastric adenocarcinoma (GA) patients undergoing gastrectomy. Computed tomography assessed the psoas muscle short axis. Muscle atrophy was estimated by changes between preoperative and three-month post-gastrectomy scans. Perioperative glutamine supplementation (PGS) comprised five-day parenteral plus one-month oral use. Propensity score matching minimized potential bias. A linear regression model predicted the association. Results: Of 516 patients analyzed (2016–2019), 100 (19.4%) received PGS. After propensity score matching, each group contained 97 cases. The PGS group showed a significantly higher median PMMA index change than the non-PGS group (0.3 vs. −0.3 cm2/m2, p = 0.004). Multivariate analysis revealed that PGS was significantly associated with increased PMMA index (coefficient = 0.60; 95% CI: 0.19–1.01; p = 0.005). Conclusions: PGS may help restore psoas muscle atrophy in GA patients undergoing gastrectomy. The underlying mechanisms likely relate to glutamine’s role in protein metabolism and immune function. Further studies are needed to elucidate these mechanisms fully.

1. Introduction

Gastric adenocarcinoma (GA) is one of the most common foregut cancers worldwide and is often diagnosed at advanced stages unless routine endoscopy is carried out [1]. Dysphagia and loss of body weight are often encountered in GA patients with advanced stages of cancer. Radical gastrectomy plus lymphadenectomy is considered as the only potentially curative treatment. However, it is accompanied by a high rate of morbidity and mortality, especially in GA patients with major comorbidities, poor physical activity, or malnutrition [2,3,4]. Notably, in the postoperative period, GA patients suffer from the deterioration of strength in skeletal muscles and poor quality of life due to the complex reconstruction of the gastrointestinal tract and gastrointestinal tract sequelae [5]. Since physical activity is associated with outcomes in GA cases, its improvement is crucial.
Sarcopenia, previously known as muscle weakness [6] or cancer-related cachexia [7], is measured as the skeletal muscle index (SMI), ≤55 cm2/m2 for men and ≤39 cm2/m2 for women [8]. SMI is strongly correlated with the cross-sectional area of the psoas major muscle (PMMA) at the third lumbar vertebra (L3), which provides an easier method to assess the severity of sarcopenia among GA patients [9]. This parameter is often measured using abdominal computed tomography (CT). Recently, there are increasing studies investigating the association between sarcopenia and outcomes, and this correlation is highlighted in surgical patients for foregut cancer [6,10].
Glutamine is the most abundant non-essential amino acid in humans; it is depleted under hypermetabolic and hyper catabolic conditions, such as severe illness or major surgery [11,12]. Since glutamine is involved in diverse processes, including protein metabolism [13] and immune system modulation [14], its insufficiency results in negative nitrogen balance, causing significant dysfunction of the gut barrier and wound healing [15]. Several studies support that glutamine supplementation is beneficial for the recovery of patients from critical illness as well as chemotherapy-related side effects [16,17,18]. However, the impact of glutamine supplementation on sarcopenia was inconclusive [19].
Therefore, this study was conducted to evaluate whether perioperative use of glutamine aids in improving sarcopenia in GA patients undergoing gastrectomy. We hypothesized that glutamine might play a role in improving sarcopenia from the perspective of muscle quantity. As CT is routinely performed in surgical GA patients to check for cancer recurrence, we used PMMA to assess the severity of sarcopenia from the perspective of muscle quantity. The primary endpoint was the perioperative change in PMMA.

2. Materials and Methods

2.1. Study Population

Patients aged ≥20 years with GA receiving gastrectomy were eligible for enrollment in the present retrospective observational study that was approved by the local ethics committee (National University Hospital; 201909033RIND). The study period was from January 2016 to June 2019. We collected data on the clinical demographics, surgical procedures, and cancer stages of the patients [20].
The weighted Charlson comorbidity index (CCI) score was calculated to represent the severity of comorbidity for each case [21]. All postoperative complications were retrieved from the medical records, and the major postoperative complications were defined as Clavien grade ≥ 3 [22].
A total of 601 patients undergoing gastrectomy for GA were enrolled in the study. After excluding renal failure (n = 11), hepatic failure (n = 11), major complications (n = 10), in-hospital mortality (n = 10), cancer recurrence (n = 5), loss to follow-up (n = 3), and no follow-up of CT (n = 35), 516 subjects were included for the analysis (Figure 1).

2.2. Measurement of Psoas Major Muscle

One trained study assessor who was blinded to the CT data analyzed the axial consecutive images at the top of the iliac crest (IC) level at the preoperative period and 3 months postoperatively (POM). The real slice level was the CT image in which IC had only vanished, which was well matched with the L3 level [23]. PMMA was measured by using an image viewer software, “Radiant DICOM Viewer 4.2” (Medixant, Poznan, Poland), on a desktop computer screen.
All measurements were performed by the segmentation of the skeletal muscle based on the Hounsfield Unit (HU) thresholds (−30 to +150 HU) to exclude vasculature or soft tissues. Furthermore, PMMA was normalized for height (PMMA index). The primary endpoint was a change in the PMMA index (PMMA index at 3 POM minus PMMA index at the preoperative period).

2.3. Perioperative Glutamine Supplementation

The study group included patients with both 5-day inpatient supplementation of parenteral glutamine (Dipeptiven®; Fresenuis Kabi, Hamburg, Germany; 100 mL per bottle with 20 g N(2)-L-alanyl-L-glutamine) and outpatient oral glutamine (Sympt-X, Plano, TX, USA; 10 g glutamine) thrice daily for 28 days.

2.4. Statistical Analysis

All variables were calculated as percentages, and continuous variables were summarized as the median and interquartile range. We employed Student’s t-test to compare the means of two continuous variables. In addition, the Chi-square test and Fisher’s exact test were used to test the correlation among the categorical variables.
We used propensity score (PS) matching to diminish the disparities of confounding factors in the background characteristics between the two groups [24]. By logistic regression, the PS model with a matching ratio of 1:1 was constructed with the presence or absence of perioperative glutamine supplementation (PGS) serving as the dependent variable. Clinicodemographic (i.e., age, gender, and body mass index), CCI score, cancer stage, type of gastrectomy, whether receiving neoadjuvant chemotherapy, and their interactions served as the independent variables [25].
The independent effects of study variables on the PMMA index were determined using linear regression models with inclusive models that included all clinicodemographic and pathological data. The results were presented as ORs with 95% confidence intervals (CIs). Statistical analyses were performed using the Stata software (version 13.1; StataCorp, College Station, TX, USA). A two-tailed p < 0.05 was considered to indicate statistical significance.

3. Results

Of the 516 patients, 100 (19.4%) received glutamine supplementation. Table 1 demonstrates the clinicopathological and surgical differences between the patients without glutamine supplementation and with glutamine supplementation. The median age of the patients with glutamine supplementation (glutamine group) was higher than that of the patients without glutamine supplementation (non-glutamine group; 68.3 vs. 64.3; p = 0.040). Further, the methods of gastrectomy between the two groups were statistically different (p < 0.001).
After matching the PS, 97 cases were left in each group. Figure 2 shows the distribution of the estimated PS for receiving PGS before and after matching. Further, Table 2 presents a comparison between the glutamine group and the non-glutamine group. The differences in clinical demographics and surgical procedures and cancer stages were not statistically significant.

Measurement of Area of Psoas Major Muscle

Among the matched cohorts, the median value of the preoperative PMMA index in glutamine and non-glutamine groups was 4.9 cm2/m2 and 5.0 cm2/m2 (p = 0.850), respectively. The median value of the 3-month postoperative PMMA index in glutamine and non-glutamine groups was 5.6 cm2/m2 and 5.0 cm2/m2 (p < 0.001), respectively. The median change in the PMMA index in the glutamine group was significantly higher than that in the non-glutamine group (0.3 vs. −0.3 cm2/m2, p = 0.004). The adjusted model (Table 3) showed that glutamine supplementation was significantly associated with increased PMMA index (coefficient = 0.60; 95% CI: 0.19–1.01; p = 0.005). On the contrary, patients aged > 75 years (coefficient = −1.05; 95% CI: −1.48 to −0.62; p < 0.001) and between 66 and 75 years (coefficient = −0.12 per one kg/m2 increment; 95% CI: −0.17 to −0.07; p < 0.001) showed a negative correlation with PMMA index in comparison with age ≤ 65 years.

4. Discussion

Patients with advanced gastric cancer often suffer from malnutrition and sarcopenia. Their condition further deteriorates after radical gastrectomy plus lymphadenectomy due to surgical stress and gastrointestinal sequelae. Glutamine has been proved to be a vital nutrient associated with tissue repair, protein metabolism, and maintenance of cell function [26,27,28]. The present study showed that PGS restored the early postoperative atrophy of the psoas major muscle in GA patients subjected to gastrectomy. Our study serves as a pilot study with a large sample size, elucidating the clinical impacts of PGS on surgical GA subjects.
The mechanism by which PGS contributes to reduced atrophy in the psoas major muscle may be related to the protein metabolism in muscles, since glutamine is an important nutrient and has a role in anabolic processes [29,30]. Glutamine, one of the most abundant non-essential amino acids in humans, is also present in high amounts in skeletal muscles. It can become conditionally essential (when the synthesis rate of glutamine is not enough to meet the demands) in cancer patients or hyper catabolic conditions, such as major surgery [31]. The supplementation of glutamine restores its deficiency in GA patients and attenuates sarcopenia by increasing protein synthesis in muscles and thus improving the nitrogen balance [32]. The results of our study conform with the previous literature, wherein PGS improved fat-free mass and contributed to maintaining lean body mass in surgical patients with head and neck malignancy [33]. Nonetheless, this association was not noted in patients with muscular dystrophy or resistance-trained subjects [34]. The key factor to elucidate this inconclusive finding may be whether the case had glutamine deficiency or not. However, this assertion needs to be investigated further.
In the current study, older age was significantly associated with early postoperative atrophy of the psoas major muscle, while very old patients (age > 75 years) showed a higher decrease in the area of the psoas muscles. Muscular aging is a complex physiological phenomenon, involving a multifactorial origin in habits/lifestyle, a decline in mitochondrial function in skeletal muscle, and hormonal balance [35], and this decline upon reaching a pathological level contributes to adverse outcomes [36]. Notably, our study population was also diagnosed with cancer, which deteriorated aforementioned muscle wasting. The mechanism may be associated with cancer cachexia, a complex metabolic syndrome leading to systemic inflammation and impairment of the immune system [37]. Recently, due to the increasing number of cancer treatments among the elderly, it is imperative to diagnose cachexia early and implement effective interventions for improving the outcomes. Surgeons should monitor and evaluate oncological outcomes and sarcopenia through serial CT scans.
The present study also has some limitations. Firstly, this study has a retrospective design and was conducted in a single academic institute. Therefore, the findings may not be applied widely. The external validity of the study requires randomized clinical trials. Secondly, our study did not measure the data related to nutritional intake and physical activity, which might also affect muscle mass. Thirdly, we evaluated the association between PGS and short-term changes in the psoas muscle. The long-term effects of the treatment should also be considered and addressed in future studies. Fourthly, some studies questioned that the psoas muscular index has limitations in estimating skeletal muscle mass, which may interfere with the study population, ethnic differences, or non-muscular factors like hydration and edema [38]. These limitations highlight the need for caution when using the psoas muscular index as a sole indicator of muscle mass or health status, particularly across diverse populations or in complex clinical scenarios. Fifthly, the standard definition of sarcopenia has evolved over time, but the most widely accepted current definition should take muscle quantity, muscle strength, and physical performance into consideration. In this study, we only calculate the muscle quantity, which may cause overestimation or underestimation of sarcopenia.

5. Conclusions

PGS may restore the atrophy of the psoas muscle among GA patients undergoing gastrectomy. The mechanism by which this effect is achieved may be associated with protein metabolism and immune function, as glutamine plays a key role in both these processes. Further studies should be designed to validate this hypothesis and uncover the molecular mechanisms.

Author Contributions

Conceptualization: J.-M.W., H.-H.T., K.-L.L., M.-T.L.; data curation: J.-M.W., H.-H.T., S.-M.T.; formal analysis: J.-M.W., H.-H.T., S.-M.T.; funding acquisition: J.-M.W., M.-T.L.; investigation: J.-M.W., H.-H.T., S.-M.T., K.-L.L., M.-T.L.; methodology: J.-M.W., H.-H.T., S.-M.T., K.-L.L., M.-T.L.; supervision: K.-L.L., M.-T.L.; validation: J.-M.W., H.-H.T., S.-M.T., K.-L.L., M.-T.L.; roles/writing—original draft: J.-M.W., H.-H.T., S.-M.T.; writing—review and editing: J.-M.W., H.-H.T., S.-M.T., K.-L.L., M.-T.L. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by grants (numbers 109-2221-E-002-174, 110-2221-E-002-014-MY3 and 113-2221-E-002-047-MY3) from the Ministry of Science and Technology and Metabolic and Mini-Invasive Surgery Foundation (Taipei, Taiwan), which had no role in the study design, data collection or analysis, decision to publish, or preparation of the manuscript.

Institutional Review Board Statement

This study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board of National University Hospital (201909033RIND, approval date 5 November 2019).

Informed Consent Statement

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

Data Availability Statement

Data may be available if requested to the corresponding author because of legal reason.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. WHO. GLOBOCAN 2012: Estimated Cancer Incidence, Mortality and Prevalence Worldwide in 2012. Available online: http://globocan.iarc.fr/Default.aspx (accessed on 21 June 2023).
  2. Watanabe, M.; Miyata, H.; Gotoh, M.; Baba, H.; Kimura, W.; Tomita, N.; Nakagoe, T.; Shimada, M.; Kitagawa, Y.; Sugihara, K.; et al. Total gastrectomy risk model: Data from 20,011 Japanese patients in a nationwide internet-based database. Ann. Surg. 2014, 260, 1034–1039. [Google Scholar] [CrossRef] [PubMed]
  3. Viste, A. Predicted morbidity and mortality in major gastroenterological surgery. Gastric Cancer 2012, 15, 1–2. [Google Scholar] [CrossRef] [PubMed]
  4. Wu, J.M.; Ho, T.W.; Chang, Y.T.; Hsu, C.; Tsai, C.J.; Lai, F.; Lin, M.T. Wearable-Based Mobile Health App in Gastric Cancer Patients for Postoperative Physical Activity Monitoring: Focus Group Study. JMIR Mhealth Uhealth 2019, 7, e11989. [Google Scholar] [CrossRef] [PubMed]
  5. Hu, Y.; Vos, E.L.; Baser, R.E.; Schattner, M.A.; Nishimura, M.; Coit, D.G.; Strong, V.E. Longitudinal Analysis of Quality-of-Life Recovery After Gastrectomy for Cancer. Ann. Surg. Oncol. 2021, 28, 48–56. [Google Scholar] [CrossRef] [PubMed]
  6. Makary, M.A.; Segev, D.L.; Pronovost, P.J.; Syin, D.; Bandeen-Roche, K.; Patel, P.; Takenaga, R.; Devgan, L.; Holzmueller, C.G.; Tian, J.; et al. Frailty as a predictor of surgical outcomes in older patients. J. Am. Coll. Surg. 2010, 210, 901–908. [Google Scholar] [CrossRef]
  7. Prado, C.M.; Lieffers, J.R.; McCargar, L.J.; Reiman, T.; Sawyer, M.B.; Martin, L.; Baracos, V.E. Prevalence and clinical implications of sarcopenic obesity in patients with solid tumours of the respiratory and gastrointestinal tracts: A population-based study. Lancet Oncol. 2008, 9, 629–635. [Google Scholar] [CrossRef]
  8. Fearon, K.; Strasser, F.; Anker, S.D.; Bosaeus, I.; Bruera, E.; Fainsinger, R.L.; Jatoi, A.; Loprinzi, C.; MacDonald, N.; Mantovani, G.; et al. Definition and classification of cancer cachexia: An international consensus. Lancet Oncol. 2011, 12, 489–495. [Google Scholar] [CrossRef]
  9. Lu, J.; Zheng, Z.F.; Li, P.; Xie, J.W.; Wang, J.B.; Lin, J.X.; Chen, Q.Y.; Cao, L.L.; Lin, M.; Tu, R.H.; et al. A Novel Preoperative Skeletal Muscle Measure as a Predictor of Postoperative Complications, Long-Term Survival and Tumor Recurrence for Patients with Gastric Cancer After Radical Gastrectomy. Ann. Surg. Oncol. 2018, 25, 439–448. [Google Scholar] [CrossRef] [PubMed]
  10. Chang, G.J.; Skibber, J.M.; Feig, B.W.; Rodriguez-Bigas, M. Are we undertreating rectal cancer in the elderly? An epidemiologic study. Ann. Surg. 2007, 246, 215–221. [Google Scholar] [CrossRef]
  11. Hammarqvist, F.; Wernerman, J.; von der Decken, A.; Vinnars, E. Alanyl-glutamine counteracts the depletion of free glutamine and the postoperative decline in protein synthesis in skeletal muscle. Ann. Surg. 1990, 212, 637–644. [Google Scholar] [CrossRef]
  12. Windle, E.M. Glutamine supplementation in critical illness: Evidence, recommendations, and implications for clinical practice in burn care. J. Burn Care Res. 2006, 27, 764–772. [Google Scholar] [CrossRef] [PubMed]
  13. Munene, G.; Francis, W.; Garland, S.N.; Pelletier, G.; Mack, L.A.; Bathe, O.F. The quality of life trajectory of resected gastric cancer. J. Surg. Oncol. 2012, 105, 337–341. [Google Scholar] [CrossRef] [PubMed]
  14. Braga, M.; Wischmeyer, P.E.; Drover, J.; Heyland, D.K. Clinical evidence for pharmaconutrition in major elective surgery. JPEN J. Parenter. Enteral Nutr. 2013, 37, 66S–72S. [Google Scholar] [CrossRef] [PubMed]
  15. Sandini, M.; Nespoli, L.; Oldani, M.; Bernasconi, D.P.; Gianotti, L. Effect of glutamine dipeptide supplementation on primary outcomes for elective major surgery: Systematic review and meta-analysis. Nutrients 2015, 7, 481–499. [Google Scholar] [CrossRef] [PubMed]
  16. Bollhalder, L.; Pfeil, A.M.; Tomonaga, Y.; Schwenkglenks, M. A systematic literature review and meta-analysis of randomized clinical trials of parenteral glutamine supplementation. Clin. Nutr. 2013, 32, 213–223. [Google Scholar] [CrossRef] [PubMed]
  17. Wischmeyer, P.E.; Dhaliwal, R.; McCall, M.; Ziegler, T.R.; Heyland, D.K. Parenteral glutamine supplementation in critical illness: A systematic review. Crit. Care 2014, 18, R76. [Google Scholar] [CrossRef] [PubMed]
  18. Noe, J.E. L-glutamine use in the treatment and prevention of mucositis and cachexia: A naturopathic perspective. Integr. Cancer Ther. 2009, 8, 409–415. [Google Scholar] [CrossRef]
  19. Mochamat; Cuhls, H.; Marinova, M.; Kaasa, S.; Stieber, C.; Conrad, R.; Radbruch, L.; Mucke, M. A systematic review on the role of vitamins, minerals, proteins, and other supplements for the treatment of cachexia in cancer: A European Palliative Care Research Centre cachexia project. J. Cachexia Sarcopenia Muscle 2017, 8, 25–39. [Google Scholar] [CrossRef]
  20. Wang, J.; Dang, P.; Raut, C.P.; Pandalai, P.K.; Maduekwe, U.N.; Rattner, D.W.; Lauwers, G.Y.; Yoon, S.S. Comparison of a lymph node ratio-based staging system with the 7th AJCC system for gastric cancer: Analysis of 18,043 patients from the SEER database. Ann. Surg. 2012, 255, 478–485. [Google Scholar] [CrossRef]
  21. Deyo, R.A.; Cherkin, D.C.; Ciol, M.A. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J. Clin. Epidemiol. 1992, 45, 613–619. [Google Scholar] [CrossRef]
  22. Dindo, D.; Demartines, N.; Clavien, P.A. Classification of surgical complications: A new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann. Surg. 2004, 240, 205–213. [Google Scholar] [CrossRef] [PubMed]
  23. Yaguchi, Y.; Kumata, Y.; Horikawa, M.; Kiyokawa, T.; Iinuma, H.; Inaba, T.; Fukushima, R. Clinical Significance of Area of Psoas Major Muscle on Computed Tomography after Gastrectomy in Gastric Cancer Patients. Ann. Nutr. Metab. 2017, 71, 145–149. [Google Scholar] [CrossRef] [PubMed]
  24. Austin, P.C. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies. Multivar. Behav. Res. 2011, 46, 399–424. [Google Scholar] [CrossRef] [PubMed]
  25. Austin, P.C. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharm. Stat. 2011, 10, 150–161. [Google Scholar] [CrossRef] [PubMed]
  26. Stehle, P.; Ellger, B.; Kojic, D.; Feuersenger, A.; Schneid, C.; Stover, J.; Scheiner, D.; Westphal, M. Glutamine dipeptide-supplemented parenteral nutrition improves the clinical outcomes of critically ill patients: A systematic evaluation of randomised controlled trials. Clin. Nutr. ESPEN. 2017, 17, 75–85. [Google Scholar] [CrossRef] [PubMed]
  27. Wu, J.M.; Lin, M.T. Effects of specific nutrients on immune modulation in patients with gastrectomy. Ann. Gastroenterol. Surg. 2020, 4, 14–20. [Google Scholar] [CrossRef] [PubMed]
  28. Mates, J.M.; Segura, J.A.; Campos-Sandoval, J.A.; Lobo, C.; Alonso, L.; Alonso, F.J.; Marquez, J. Glutamine homeostasis and mitochondrial dynamics. Int. J. Biochem. Cell. Biol. 2009, 41, 2051–2061. [Google Scholar] [CrossRef] [PubMed]
  29. Prado, C.M.; Purcell, S.A.; Laviano, A. Nutrition interventions to treat low muscle mass in cancer. J. Cachexia Sarcopenia Muscle 2020, 11, 366–380. [Google Scholar] [CrossRef] [PubMed]
  30. Curi, R.; Newsholme, P.; Procopio, J.; Lagranha, C.; Gorjao, R.; Pithon-Curi, T.C. Glutamine, gene expression, and cell function. Front. Biosci. 2007, 12, 344–357. [Google Scholar] [CrossRef]
  31. Wu, G.; Wu, Z.; Dai, Z.; Yang, Y.; Wang, W.; Liu, C.; Wang, B.; Wang, J.; Yin, Y. Dietary requirements of "nutritionally non-essential amino acids" By animals and humans. Amino Acids 2013, 44, 1107–1113. [Google Scholar] [CrossRef]
  32. Stehle, P.; Zander, J.; Mertes, N.; Albers, S.; Puchstein, C.; Lawin, P.; Furst, P. Effect of parenteral glutamine peptide supplements on muscle glutamine loss and nitrogen balance after major surgery. Lancet 1989, 1, 231–233. [Google Scholar] [CrossRef]
  33. Azman, M.; Mohd Yunus, M.R.; Sulaiman, S.; Syed Omar, S.N. Enteral glutamine supplementation in surgical patients with head and neck malignancy: A randomized controlled trial. Head Neck 2015, 37, 1799–1807. [Google Scholar] [CrossRef] [PubMed]
  34. Valenzuela, P.L.; Morales, J.S.; Emanuele, E.; Pareja-Galeano, H.; Lucia, A. Supplements with purported effects on muscle mass and strength. Eur. J. Nutr. 2019, 58, 2983–3008. [Google Scholar] [CrossRef] [PubMed]
  35. Colloca, G.; Di Capua, B.; Bellieni, A.; Cesari, M.; Marzetti, E.; Valentini, V.; Calvani, R. Erratum to “Muscoloskeletal aging, sarcopenia and cancer” [Journal of Geriatric Oncology, Volume 10, Issue 3, May 2019, Pages 504-509]. J. Geriatr. Oncol. 2019, 10, 839. [Google Scholar] [CrossRef] [PubMed]
  36. Marzetti, E.; Calvani, R.; Tosato, M.; Cesari, M.; Di Bari, M.; Cherubini, A.; Broccatelli, M.; Savera, G.; D’Elia, M.; Pahor, M.; et al. Physical activity and exercise as countermeasures to physical frailty and sarcopenia. Aging Clin. Exp. Res. 2017, 29, 35–42. [Google Scholar] [CrossRef] [PubMed]
  37. Argiles, J.M.; Lopez-Soriano, F.J. Catabolic proinflammatory cytokines. Curr. Opin. Clin. Nutr. Metab. Care. 1998, 1, 245–251. [Google Scholar] [CrossRef]
  38. Weber Gulling, M.; Schaefer, M.; Bishop-Simo, L.; Keller, B.C. Optimizing Nutrition Assessment to Create Better Outcomes in Lung Transplant Recipients: A Review of Current Practices. Nutrients 2019, 11, 2884. [Google Scholar] [CrossRef]
Figure 1. Flow diagram for the inclusion and exclusion criteria in this study.
Figure 1. Flow diagram for the inclusion and exclusion criteria in this study.
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Figure 2. Distribution of the estimated propensity score for receiving perioperative parenteral glutamine supplementation between two groups before and after matching.
Figure 2. Distribution of the estimated propensity score for receiving perioperative parenteral glutamine supplementation between two groups before and after matching.
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Table 1. Comparison of clinicopathological variables between gastric cancer patients undergoing gastrectomy that did or did not receive perioperative glutamine supplementation before matching.
Table 1. Comparison of clinicopathological variables between gastric cancer patients undergoing gastrectomy that did or did not receive perioperative glutamine supplementation before matching.
Factor (Number or Median [IQR])Glutamine Supplementationp Value
No (n = 416)Yes (n = 100)
Age64.3 (56.5, 74.8)68.3 (59.3, 74.8)0.04
Gender 0.19
 Female178 (42.8%)50 (50.0%)
 Male238 (57.2%)50 (50.0%)
Body mass index23.1 (20.5, 25.3)23.6 (21.5, 26.5)0.076
Charlson comorbidity index 0.078
 ≤2256 (61.5%)71 (71.0%)
 >2160 (38.5%)29 (29.0%)
Cancer stage 0.7
 I75 (18.0%)19 (19.0%)
 II150 (36.1%)32 (32.0%)
 III169 (40.6%)41 (41.0%)
 IV22 (5.3%)8 (8.0%)
Method of gastrectomy <0.001
 Open distal gastrectomy206 (49.5%)71 (71.0%)
 Laparoscopic distal gastrectomy67 (16.1%)19 (19.0%)
 Open total gastrectomy143 (34.4%)10 (10.0%)
Adjuvant chemotherapy88 (21.1%)21 (21.0%)0.88
IQR: interquartile range.
Table 2. Comparison of clinicopathological variables between gastric cancer patients undergoing gastrectomy that did or did not receive perioperative glutamine supplementation after matching.
Table 2. Comparison of clinicopathological variables between gastric cancer patients undergoing gastrectomy that did or did not receive perioperative glutamine supplementation after matching.
Factor (Number or Median [IQR])Glutamine Supplementationp Value
No (n = 97)Yes (n = 97)
Age67.4 (58.4, 73.7)68.3 (59.2, 74.4)0.57
Gender 0.89
 Female46 (47%)47 (48%)
 Male51 (53%)50 (52%)
Body mass index23.5 (21.6, 25.9)23.6 (21.6, 26.4)0.93
Charlson comorbidity index 0.52
 ≤272 (74%)68 (70%)
 >225 (26%)29 (30%)
Cancer stage 0.64
 I13 (13%)19 (20%)
 II36 (37%)30 (31%)
 III40 (41%)40 (41%)
 IV8 (8%)8 (8%)
Adjuvant chemotherapy20 (20.6%)20 (20.6%)0.999
Method of gastrectomy 0.96
 Open distal gastrectomy68 (70%)68 (70%)
 Laparoscopic distal gastrectomy20 (21%)19 (20%)
 Open total gastrectomy9 (9%)10 (10%)
Measurements of psoas major muscle
 Pre-operative area of psoas major muscle (cm2/m2)5.0 (4.5, 5.8)4.9 (4.1, 6.2)0.85
 3-month postoperative area of psoas major muscle (cm2/m2)5.0 (4.4, 5.6)5.6 (5.0, 6.2)<0.001
 Change in area of psoas major muscle (cm2/m2)−0.3 (−0.8, 0.5)0.3 (−0.4, 1.6)0.004
IQR: interquartile range.
Table 3. Multivariate analysis to predict the change in the cross-sectional area of the psoas major muscle index in the propensity score model.
Table 3. Multivariate analysis to predict the change in the cross-sectional area of the psoas major muscle index in the propensity score model.
VariablesCoefficients95% Confident Intervalp Value
Lower limitUpper limit
Age category (ref: ≤65 years)
 66–75 years−0.12−0.17−0.07<0.001
 >75 years−1.04−1.48−0.62<0.001
Male gender (ref: female)0.09−0.400.710.576
Body mass index0.39−0.100.880.121
Charlson comorbidity index scores > 2 (ref: ≤2)0.05−0.420.520.828
Cancer stage (ref: stage I)
 Stage II0.58−0.071.230.081
 Stage III0.24−0.380.860.443
 Stage IV0.30−0.641.230.532
Method of gastrectomy (ref: open distal gastrectomy)
 Open total gastrectomy−0.14−0.670.390.596
 Laparoscopic distal gastrectomy0.30−0.431.050.413
 Glutamine supplementation0.600.191.010.005
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Wu, J.-M.; Tsai, H.-H.; Tseng, S.-M.; Liu, K.-L.; Lin, M.-T. Perioperative Glutamine Supplementation May Restore Atrophy of Psoas Muscles in Gastric Adenocarcinoma Patients Undergoing Gastrectomy. Nutrients 2024, 16, 2301. https://doi.org/10.3390/nu16142301

AMA Style

Wu J-M, Tsai H-H, Tseng S-M, Liu K-L, Lin M-T. Perioperative Glutamine Supplementation May Restore Atrophy of Psoas Muscles in Gastric Adenocarcinoma Patients Undergoing Gastrectomy. Nutrients. 2024; 16(14):2301. https://doi.org/10.3390/nu16142301

Chicago/Turabian Style

Wu, Jin-Ming, Hsing-Hua Tsai, Shang-Ming Tseng, Kao-Lang Liu, and Ming-Tsan Lin. 2024. "Perioperative Glutamine Supplementation May Restore Atrophy of Psoas Muscles in Gastric Adenocarcinoma Patients Undergoing Gastrectomy" Nutrients 16, no. 14: 2301. https://doi.org/10.3390/nu16142301

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