A Randomized Controlled Trial on the Effects of Leucine-Supplement Combined with Nutritional Counseling on Body Composition in Mix Cancer Older Men.

BACKGROUND: Malnutrition and metabolic alterations of cancer cachexia are often associated with negative weight loss and muscle mass wasting. In this sense, protein supplementation can be a strategy to help counteract the loss and/or maintenance of mass in these patients. The aim of this study was to evaluate the effect of leucine supplementation on body composition in outpatients with gastrointestinal tract cancer. METHODS: It was a randomized, blinded, controlled, parallel trial, performed in male patients with a cancer diagnosis of the gastrointestinal tract and appendix organs undergoing chemotherapy. All the patients were allocated to one of the protocol groups: L-leucine supplement or the control group, during 8 weeks of intervention. We evaluated the body composition through bioelectrical impedance analysis, the cancer cachexia classification, and the diet intake before and after the intervention protocol. The intention-to-treat approach was performed to predict the missing values for all patients who provide any observation data. RESULTS: The patients were an average age of 65.11 ± 7.50 years old. In the body composition analysis with patients who finished all the supplementation, we observed a significant gain in body weight (61.79.9 ± 9.02 versus 64.06 ± 9.45, p = 0.01), ASMM (7.64 ± 1.24 versus 7.81 ± 1.20, p = 0.02) in the Leucine group, whereas patients in the control did not present significant variation in these parameters. There was no significant intergroup difference. While in the analysis included the patients with intention-to-treat, we found a significant increase in body weight (p = 0.01), BMI (p = 0.01), FFM (p = 0.03), and ASMM (p = 0.01) in the Leucine group. No significant intergroup differences. These results also similar among cachectic patients. CONCLUSION: A balanced diet enriched with free-Leucine supplementation was able to promotes gains in body weight and lean mass in older men diagnosticated with gastrointestinal and appendix organs of digestion cancer after 8 weeks. However, the fact that most men are non-cachectic or pre-cachectic is not clear if the increase in muscle mass was due to a high intake of leucine, since no difference between groups was detected. Moreover, we know that benefits on body composition are due to adequate calorie and macronutrients consumption and that balanced feeding according to nutrition Guidelines seems crucial and must be advised during the oncological treatment.

Amino acids and cancer: potential for therapies?

PURPOSE OF REVIEW: Cancer patients may have a variety of disorders associated with systemic inflammation caused by disease progression. Consequently, we have protein hypercatabolism. In view of this, protein and amino acid adequacy should be considered in relation to nutritional behavior. Therefore, this review aims to evaluate the influence of protein and amino acids in the nutritional therapy of cancer. RECENT FINDINGS: Diets with adequate protein levels appear to be beneficial in the treatment of cancer; guidelines suggest consumption of greater than 1.0-1.5 g/kg body weight/day. In patients diagnosed with malnutrition, sarcopenia, or cachexia, it is recommended to use the maximum amount of protein (1.5 g/kg of weight/day) to adapt the diet. In addition, based on the evidence found, there is no consensus on the dose and effects in cancer patients of amino acids such as branched-chain amino acids, glutamine, arginine, and creatine. SUMMARY: When evaluating the components of the diet of cancer patients, the protein recommendation should be greater than 1.0-1.5 g/kg of weight/day, with a distribution between animal and vegetable proteins. We found little evidence demonstrating clinical benefits regarding individual or combined amino acid supplementation. Still, it is unclear how the use, dose, and specificity for different types of cancer should be prescribed or at what stage of treatment amino acids should be prescribed.

Effects of Juçara (Euterpe edulis Martius) on Health: An Overview of Clinical and Experimental Studies and Call for Action.

BACKGROUND AND AIMS: Juçara is a fruit of ecological and nutritional importance. Its fruits represent an option for the sustainable use of the plant due to its vulnerability to extinction. Thus, the aim of this review was to analyze clinical and experimental studies and highlight the literature gaps regarding the effects of supplementation with Juçara on health. METHODS: For this scoping review, we consulted the Medline (PubMed), Science Direct, and Scopus databases in March, April, and May 2022. Experimental studies and clinical trials published in the last ten years (2012-2022) were analyzed. Data were synthesized and reported. RESULTS: A total of 27 studies were included, 18 of which were experimental studies. Of these, 33% evaluated inflammatory markers associated with fat accumulation. Most of these studies (83%) used pulp in lyophilized form, and the others (17%) involved juçara extract mixed in water. In addition, 78% of the studies showed positive results with respect to the lipid profile, reduction of oncological lesions, inflammation, microbiota modulation, and improvement in obesity and glycemia-related metabolic complications. Nine clinical trials with results similar to those of experimental trials were found. The majority (56%) were chronic (four to six weeks into the intervention), and 44% were acute. Three offered juçara supplementation in the form of juice, four used freeze-dried pulp, two used fresh pulp, and one used a 9% dilution. The dose was fixed at 5 g, but the dilution ranged from 200 to 450 mL. These trials assessed mainly healthy, physically active, and obese individual adults (19-56 years old), and cardioprotective and anti-inflammatory effects, as well as improvement in the lipid profile and prebiotic potential, were observed. CONCLUSION: Juçara supplementation showed promising results with respect to its effect on health. However, further studies are needed to clarify these possible effects on health and their mechanisms of action.

MSRA has low concordance with skeletal muscle mass index in mixed cancer patients: A preliminary and feasibility study.

BACKGROUND AND AIMS: Currently, there are no studies evaluating the agreement between the Mini Sarcopenia Risk Assessment (MSRA) questionnaire and skeletal muscle mass index (SMI) in cancer patients. Thus, this study aimed to evaluate the agreement of the MSRA questionnaire with SMI in cancer patients. METHODS: Cross-sectional study with 132 unselected cancer patients. The risk of sarcopenia was determined using the MSRA of 5 and 7 questions. Men and women were divided into subgroups with and without risk of sarcopenia, according to MSRA. SMI was assessed by the muscle mass divided by heigh using the Lee's formula. The ROC curve was used to estimate sensitivity, specificity, and area under the curve between MSRA 5 and 7 versus SMI. The Kappa index was used to assess the agreement between them. RESULTS: MSRA 5 and 7 showed better sensitivity values in women when compared to men. However, better specificity values were obtained in men when compared to women. Although, there was better agreement between MSRA 5/7 and SMI in women, kappa values indicated low agreement in both sexes (MSRA 5: women: 0.36 vs. men: 0.07 and MSRA 7: women: 0.22 vs. men: - 0.07). CONCLUSION: MSRA 5 and 7 questionnaires has low agreement with SMI to identify risk of sarcopenia in unselected cancer patients.

Krill Oil Supplementation Does Not Change Waist Circumference and Sagittal Abdominal Diameter in Overweight Women: A Pilot Balanced, Double-Blind, and Placebo-Controlled Clinical Trial.

An excess of body fat is one of the biggest public health concerns in the world, due to its relationship with the emergence of other health problems. Evidence suggests that supplementation with long-chain polyunsaturated fatty acids (omega-3) promotes increased lipolysis and the reduction of body mass. Likewise, this clinical trial aimed to evaluate the effects of supplementation with krill oil on waist circumference and sagittal abdominal diameter in overweight women. This pilot, balanced, double-blind, and placebo-controlled study was carried out with 26 women between 20 and 59 years old, with a body mass index >25 kg/m2. The participants were divided into the control (CG) (n = 15, 3 g/daily of mineral oil) and krill oil (GK) (n = 16, 3 g/daily of krill oil) groups, and received the supplementation for eight weeks. Food intake variables were obtained using a 24 h food recall. Anthropometric measurements (body mass, body mass index, waist circumference, and sagittal abdominal diameter) and handgrip strength were obtained. After the intervention, no changes were found for the anthropometric and handgrip strength variables (p > 0.05). Regarding food intake, differences were found for carbohydrate (p = 0.040) and polyunsaturated (p = 0.006) fatty acids, with a reduction in the control group and an increase in krill oil. In conclusion, supplementation with krill oil did not reduce the waist circumference and sagittal abdominal diameter. Therefore, more long-term studies with a larger sample size are necessary to evaluate the possible benefits of krill oil supplementation in overweight women.

High Charlson comorbidity index value is not associated with muscle strength in unselected cancer patients.

BACKGROUND AND AIMS: Cancer patients usually lose muscle mass and strength during progression of tumor or treatment. One of the simplest, easiest, and cheapest methods to assess muscle strength is by handgrip strength (HGS), which has been widely used during clinical practice. However, it is not established whether the presence of comorbidities, when assessed by the Charlson Comorbidities Index (CCI), is associated with lower HGS in cancer patients. Thus, this study sought to verify if low HGS is associated with highest CCI in cancer patients. METHODS: Cross-sectional study enrolled 167 cancer patients of both sexes diagnosed with cancer. The sample was divided into two groups, CCI <5: low comorbidity or CCI ≥5: high comorbidity number. Muscle strength was assessed by digital dynamometer. Student t and Chi-square tests were performed to analyze the differences between groups and logistic regression was used to verify the association between CCI and HGS, in the crude (model 1) and adjusted for confounding variables (model 2). RESULTS: Patients from the CCI ≥5 group were older (65.0 ± 11.3 vs. 55.3 ± 13.1; p < 0.05), hospitalized (p < 0.05), and the gastrointestinal and accessory organs of digestion tumors were more prevalent when compared to the CCI <5 group. The logistic regression in the crude model showed a negative association between CCI and HGS (OR: 0.94 [95%CI: 0.90-0.98], p = 0.006), however, after adjusting for confounders variables this association was lost (OR: 0.98 [95%CI: 0.94-1.03], p = 0.58). CONCLUSION: In patients with cancer, there is no independent association between HGS and CCI.

Charlson comorbidity index is not associated with neutrophil-lymphocytes ratio in unselected hospitalized cancer patients: A cross-sectional study.

This study sought to evaluate the association between Charlson Comorbidity Index (CCI) and neutrophil lymphocyte ratio (NLR). Cross-sectional study evaluated 134 patients of both sexes diagnosed with several types of cancer. NLR was calculated by dividing the absolute value of neutrophils by lymphocytes count, and the CCI questionnaire was used to assess the risk of comorbidities and mortality. The sample was dichotomized in CCI < 5 or ≥5. Student's t-test and Chi-square test were calculated to analyze the differences. The association between CCI and NLR was investigated by logistic regression analysis, performed with model 1 (crude) and model 2 (adjusted). The patients in the CCI ≥ 5 group were older, with higher neutrophil levels and prevalence of solid tumor type. There was no difference between groups regarding type of treatment, body weight, body mass index, performance status, lymphocyte count and NLR. There was no association between CCI and NLR, in both crude model (OR: 1.04 [95% CI: 0.99-1.09], p = 0.09), as well as adjusted for sex, age, physical activity, alcohol consumption, smoking habit, type of treatment, and performance status (OR: 1.04 [95% CI:0.97-1.12], p = 0.19). In hospitalized unselected cancer patients, despite of small sample size and design of study, we showed the presence of comorbidities is not related to the NLR.

Absence of risk of sarcopenia protects cancer patients from fatigue.

BACKGROUND: Cancer and its treatments often lead to sarcopenia and fatigue. However, whether these factors are associated remains unproven. OBJECTIVE: To evaluate whether the risk of sarcopenia predicts the presence of fatigue. METHODS: A cross-sectional study was completed and included 198 cancer patients of both sexes, undergoing in- and outpatient treatment. The Strength, Assistance for walking, Rise from a chair, Climb stairs, and Falls (SARC-F) and the Functional Assessment of Cancer Therapy Fatigue (FACT-F) were used to assess the risk of sarcopenia and the presence of fatigue, respectively. The cut-off values used to identify the risk of sarcopenia and the severity of fatigue scale were SARC-F ≥ 4 and Fatigue <34, respectively. Logistic regression analysis was performed to evaluate the association between SARC-F and the FACT-F. RESULTS: Out of 198 patients, 35% were at risk of sarcopenia and of these 87% had fatigue. Patients at risk of sarcopenia had lower scores in the FACT-F subscales, lower handgrip strength, lower performance status, were mostly hospitalized and were sedentary. Logistic regression analysis revealed that patients with SARC-F < 4 had a lower risk of fatigue in both models, crude (OR: 0.83; CI 95% [0.79-0.88], p < 0.0001) as well as adjusted for age, gender, BMI, physical activity, current use of alcoholic beverages, smoking, performance status, cancer type, clinical setting and use of supplements (OR: 0.87; CI 95% [0.81-0.92], p < 0.0001). CONCLUSION: In patients with cancer, 35% presented risk of sarcopenia and of these 87% had fatigue. In addition, the absence of sarcopenia was considered protective against fatigue.

High neutrophil to lymphocytes ratio is associated with nutritional risk in hospitalised, unselected cancer patients: a cross-sectional study.

Cancer patients possess metabolic and pathophysiological changes and an inflammatory environment that leads to malnutrition. This study aimed to (i) determine whether there is an association between neutrophil-to-lymphocyte ratio (NLR) and nutritional risk, and (ii) identify the cut-off value of NLR that best predicts malnutrition by screening for nutritional risk (NRS 2002). This cross-sectional study included 119 patients with unselected cancer undergoing chemotherapy and/or surgery. The NRS 2002 was applied within 24 h of hospitalisation to determine the nutritional risk. Systemic inflammation was assessed by blood collection, and data on C-reactive protein (CRP), neutrophils, and lymphocytes were collected for later calculation of NLR. A receiver operating characteristic (ROC) curve was used to identify the best cut-point for NLR value that predicted nutritional risk. Differences between the groups were tested using the Student's t-, Mann-Whitney U and Chi-Square tests. Logistic regression analyses were performed to assess the association between NLR and nutritional risk. The ROC curve showed the best cut-point for predicting nutritional risk was NLR > 5.0 (sensitivity, 60.9%; specificity, 76.4%). The NLR ≥ 5.0 group had a higher prevalence of nutritional risk than the NLR < 5.0 group (NLR ≥ 5.0: 73.6% vs. NLR < 5.0: 37.9%, p = 0.001). The NLR group ≥ 5.0 showed higher values of CRP and NLR than the NLR < 5.0 group. In addition, patients with NLR ≥ 5.0 also had higher NRS 2002 values when compared to the NLR < 5.0 group (NLR ≥ 5.0: 3.0 ± 1.1 vs. NLR < 5.0: 2.3 ± 1.2, p = 0.0004). Logistic regression revealed an association between NRS and NLR values. In hospitalised unselected cancer patients, systemic inflammation measured by NLR was associated with nutritional risk. Therefore, we highlight the importance of measuring the NLR in clinical practice, with the aim to detect nutritional risk.

SARC-F has low correlation and reliability with skeletal muscle mass index in older gastrointestinal cancer patients.

BACKGROUND & AIMS: The evaluation of function and muscle mass in older cancer patients is essential to reduce comorbidities. We hypothesized that Simple Questionnaire to Rapidly Diagnose Sarcopenia (SARC-F) questionnaire is useful to assessment the muscle function, but not muscle mass. Thus, the purpose of this study was to evaluate the correlation and reliability between the SARC-F and skeletal muscle mass index (SMI) in older gastrointestinal cancer patients. METHODS: A cross-sectional observational study enrolled 108 (63.55 ± 8.9 y) gastrointestinal cancer patients. The patients were evaluated using the SARC-F questionnaire and the muscle mass index (SMI). SMI was calculated using Lee's equation: the appendicular muscle mass (ASM) was divided by height. Pearson's correlation was used to examine the correlation between SARC-F and SMI. The Bland-Altman plot and Cohen's kappa coefficient were used to determine the concordance and reliability between them. Statistical difference was set at p < 0.05. RESULTS: The Bland-Altman plot showed that the difference between methods were within agreement (±1.96; p = 0.001). However, SARC-F has low concordance (κ = 0.20; standard error = 0.14) and correlation (r = -0.303; p = 0.0014) with SMI. CONCLUSION: In older cancer outpatients, we found that SARC-F has low correlation and reliability with SMI.

A high-protein diet, not isolated BCAA, is associated with skeletal muscle mass index in patients with gastrointestinal cancer.

OBJECTIVES: Patients with cancer are susceptible to experiencing the loss of skeletal muscle mass. Thus, the purpose of this study was to evaluate whether a high-protein diet (HPD) or isolated branched-chain amino acid (BCAA) intake is associated with an increased skeletal muscle mass index (SMI) in patients with cancer of the gastrointestinal tract. METHODS: This cross-sectional, observational study included 106 patients with gastrointestinal tract tumors. Food consumption was estimated using 24-h food recall. Patients were divided into two groups: a low-protein diet (LPD) group (≤1.2 g · kg · d-1) and a high-protein diet (HPD) group (>1.2 g · kg · d-1). Appendicular muscle mass (ASM) was calculated using Lee's formula, and its values were divided by the square of the height of the patient to obtain SMI values. Differences were considered significant when the probability they occurred by chance was <5% (P < 0.05). RESULTS: Of 106 patients assessed, 69 (65%) consumed a diet consistent with specifications of the LPD group and 37 (35%) consumed a diet consistent with HPD intake. Logistic regression after adjusting for sex and caloric and carbohydrate consumption showed an association between SMI and HPD (odds ratio, 4.19; 95% confidence interval, 1.06-16.56; P < 0.001) but not with BCAA. Daily total protein intake, but not isolated BCAA or leucine, was able to predict an increase in SMI in 43% of patients considered (P = 0.006). Thus, HPD was associated with SMI, and total protein intake was a better predictor of SMI than BCAAs. CONCLUSION: HPD is a cost-effective way to enhance SMI, rather than focusing on the ingestion of isolated BCAAs.

Muscle function loss is associated with anxiety in patients with gastrointestinal cancer.

OBJECTIVE: To verify the prevalence of patients with muscle function loss (MFL) and whether it is associated with anxiety and depression scores in gastrointestinal (GI) cancer patients. METHODS: A cross-sectional study with seventy-one adult GI cancer patients was conducted. The MFL was evaluated by the SARC-F questionnaire, and participants were divided into MFL (cut-off ≥4 SARC-F) and normal muscle function (NMF) groups (cut-off <4 SARC-F). Anxiety and depression were analyzed using the Hospital Anxiety and Depression Scale (HADS). RESULTS: From 71 patients, 25.4% (n = 18) were classified as MFL and 74.6% (n = 53) as NMF. Body weight was lower in the MFL group when compared to the NMF group (MFL: 57.6 ± 11.3 vs. NMF: 64.8 ± 11.6 kg, p = 0.032). MFL showed higher anxiety (MFL: 7.5 (0-21) vs. NMF: 2 (0-17), p = 0.030) and depression scores (MFL: 6.5 (0-13) vs. NMF: 2 (0-17), p = 0.034) compared to NMF. A positive correlation between the SARC-F and the anxiety (r = 0.34, p = 0.004) and depression score (r = 0.32, p = 0.006) was found. When adjusted by sex and body weight, MFL saw an increase with the anxiety score (OR: 1.15 95%CI(1.01-1.31), p = 0.023), but not with the depression score. In addition, LMF was responsible for anxiety in 12% of the population. CONCLUSION: In our study, 25% of GI cancer patients presented LMF and an association with the anxiety score.