Serum molecular signatures of weight change during early breast cancer chemotherapy

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e11534-e11534
Author(s):  
J. Stebbing ◽  
H. C. Keun ◽  
J. Sidhu ◽  
M. Patterson ◽  
S. R. Bloom ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Weight ◽  
Weight Gain ◽  
Early Breast Cancer ◽  
Body Fat ◽  
Weight Change ◽  
Peptide Yy ◽  
Resonance Spectroscopy ◽  
Weight Changes ◽  
Tnf Α

e11534 Background: Weight gain in women receiving chemotherapy following breast cancer diagnosis has negative implications on quality of life and those who gain weight during treatment appear to be at higher risk of disease recurrence. The mechanism(s) implicated in chemotherapy associated weight gain are poorly understood. Methods: To investigate this further, we assessed the metabolic, cytokine and appetite related peptide alterations before and during adjuvant FEC chemotherapy for early breast cancer in post-menopausal women, and correlated these with body mass measurements. Specifically, we performed global metabolic profiling (metabonomics/ metabolomics) using 1H nuclear magnetic resonance spectroscopy of sequential sera, examined ghrelin immunoreactivity, performed radioimmunoassays for glucagon like peptide-1 (GLP-1) and peptide YY (PYY) and electro-chemiluminescent cytokine analyses (tumor necrosis factor-α and interleukin-6; TNF-α, IL-6) on the sequential samples. Results: In those who gained ≥ 1.5kg (on average ∼5% of initial body weight), several metabolite levels were positively associated with weight change, in particular lactate which was 55% greater in patients with increased body weight during chemotherapy compared to those with stable weight during chemotherapy (p<0.01; the pre-specified primary end-point). A significant inverse relationship was also observed between levels of TNF-α and weight change group (ρ 0.476, p<0.05). Baseline lactate, alanine and body fat were all prognostic for weight gain (ROC AUC >0.77, p<0.05). No significant associations were observed between any other parameter and weight gain, nor any parameter and tumor burden, including cytokine and appetite peptide alterations. Conclusions: Metabonomics identifies pathways perturbed during early chemotherapy for breast cancer, and establishes a positive association between serum lactate, body fat, TNF-α and substantive weight changes during chemotherapy. Interventions that target these processes may be clinically useful in breast cancer. No significant financial relationships to disclose.

scholarly journals Weight changes during chemotherapy for breast cancer

2002 ◽  
Vol 120 (4) ◽  
pp. 113-117 ◽  
Author(s):  
Luciano José Megale Costa ◽  
Paulo César Spotti Varella ◽  
Auro del Giglio
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Body Weight ◽  
Weight Gain ◽  
Weight Change ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Weight Changes ◽  
Free Survival ◽  
Disease Free

CONTEXT: Patients receiving adjuvant chemotherapy for breast cancer have a tendency to gain weight. This tendency has determining factors not completely defined and an unknown prognostic impact. OBJECTIVE: To evaluate weight change during chemotherapy for breast cancer in a defined population and to identify its predisposing factors and possible prognostic significance. DESIGN: Observational, retrospective cohort study. SETTING: Private clinical oncology service. PARTICIPANTS: 106 consecutive patients with breast cancer treated between June 1994 and April 2000, who received neoadjuvant (n = 8), adjuvant (n = 74) or palliative (n = 24) chemotherapy. INTERVETION: Review of medical records and gathering of clinical information, including patients’ body weights before treatment and at follow-up reviews. MAIN MEASUREMENTS: Body weight change, expressed as percentage of body weight per month in treatment; role of clinical data in weight change; and influence of weight change in overall survival and disease-free survival. RESULTS: There was a mean increase of 0.50 ± 1.42% (p = 0.21) of body weight per month of treatment. We noted a negative correlation between metastatic disease and weight gain (r = -0.447, p < 0.0001). In the adjuvant and neoadjuvant therapy groups there was a mean weight gain of 0.91 ± 1.19 % (p < 0.00001) per month, whereas in the metastatic (palliative) group, we observed a mean loss of 0.52 ± 1.21% (p = 0.11) of body weight per month during the treatment. We did not observe any statistically significant correlation between weight changes and disease-free survival or overall survival. CONCLUSIONS: Women with breast cancer undergoing adjuvant or neoadjuvant chemotherapy gain weight, whereas metastatic cancer patients will probably lose weight during palliative chemotherapy. Further studies are needed in order to evaluate the prognostic significance of weight changes during chemotherapy.

scholarly journals Probiotics for the Treatment of Docetaxel-Related Weight Gain of Breast Cancer Patients—A Single-Center, Randomized, Double-Blind, and Placebo-Controlled Trial

2021 ◽  
Vol 8 ◽  
Author(s):  
Zhang Juan ◽  
Zhang Qing ◽  
Liang Yongping ◽  
Liyuan Qian ◽  
Wei Wu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Weight ◽  
Weight Gain ◽  
Cancer Treatment ◽  
Cancer Patients ◽  
Body Fat ◽  
Breast Cancer Treatment ◽  
Body Fat Percentage ◽  
Breast Cancer Patients ◽  
Fat Percentage

Background: Docetaxel is an important chemotherapy-agent for breast cancer treatment. One of its side-effects is weight gain, which increases the all-cause mortality rate. Considering gut microbiota is one important factor for weight regulation, we hypothesized that probiotics could be potentially used to reduce the docetaxel-related weight gain in breast cancer patients.Methods: From 10/8/2018 to 10/17/2019, 100 breast cancer (Stage I-III) patients underwent four cycles of docetaxel-based chemotherapy were enrolled and randomly assigned to receive probiotics (Bifidobacterium longum, Lactobacillus acidophilus, and Enterococcus faecalis) or placebo (supplementary material of the probiotics capsule) treatment for 84 days with three capsules per time, twice/day. The primary outcome: the changes in body weight and body-fat percentage of the patients were measured by a designated physician using a fat analyzer, and the secondary outcomes: the fasting insulin, plasma glucose, and lipids were directly obtained from the Hospital Information System (HIS); The metabolites were measured using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS); The fecal microbiome was analyzed using bacterial 16S ribosomal RNA (rRNA) gene sequence. All indicators were measured 1 day before the first cycle of docetaxel-based chemotherapy and 21 days after the last cycle of docetaxel-based chemotherapy.Results: Compared with the placebo group, the probiotic group showed significantly smaller changes in body weight (Mean [SD] 0.77 [2.58] vs. 2.70 [3.08], P = 0.03), body-fat percentage (Mean [SD] 0.04 [1.14] vs. 3.86 [11.09], P = 0.02), and low density lipoprotein (LDL) (Mean [SD]−0.05[0.68] vs. 0.39 [0.58], P = 0.002). Moreover, five of the 340 detected plasma metabolites showed significant differences between the two groups. The change of biliverdin dihydrochloride (B = −0.724, P = 0.02) was inverse correlated with weight gain. One strain of the phylum and three strains of the genus were detected to be significantly different between the two groups. Also, the changes of Bacteroides (B = −0.917, P &lt; 0.001) and Anaerostipes (B = −0.894, P &lt; 0.001) were inverse correlated with the change of LDL.Conclusions: Probiotics supplement during docetaxel-based chemotherapy for breast cancer treatment may help to reduce the increase in body weight, body-fat percentage, plasma LDL, and minimize the metabolic changes and gut dysbacteriosis.Clinical Trial Registration:http://www.chictr.org.cn/showproj.aspx?proj=24294, ChiCTR-INQ-17014181.

scholarly journals Relations of body weight status in early adulthood and weight changes until middle age with metabolic syndrome in the Chinese population

2017 ◽  
Vol 4 (11) ◽  
pp. 4011
Author(s):  
Liancheng Zhao ◽  
Huanhuan Liu ◽  
Long Zhou ◽  
Ying Li ◽  
Min Guo ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Weight ◽  
Weight Gain ◽  
Weight Change ◽  
Chinese Population ◽  
Weight Status ◽  
Early Adulthood ◽  
Weight Changes ◽  
Body Weight Status ◽  
Increased Risk

Background: The evidences for the relationship between long-term weight gain and metabolic syndrome (MetS) in Chinese population were limited. Therefore, this study aims to explore the association of body weight status in early adulthood and weight changes with MetS.Methods: Data from China Multicenter Collaborative Study of Cardiovascular Epidemiology including 12808 participants aged 35–59 were used. Participants were surveyed for cardiovascular risk factors and a self-reported weight at age 25, which was defined as early adulthood. Weight change was calculated as the difference between baseline weight and early adulthood weight. MetS was defined according to AHA/NHLBI definition in 2009. Multivariate logistic regression model was used to examine the association between early adulthood weight status, weight change and MetS.Results: Mean age of participants was 46.7 years, including 6134 men and 6674 women. The overall prevalence of MetS was 21.8%. After adjusted for age, sex and other confounding factors, both BMI at 25 age and weight gain were positively associated with the risk of MetS. Being overweight (BMI, 24–27.9 kg m-2) or obese (BMI ≥28 kg m-2) at early adulthood was related to an increased risk of MetS, the odds ratio (OR) and 95%confidence interval (CI) was 3.24 (2.82–3.72) and 13.31 (8.72–20.31). In addition, weight gain was also associated with higher risk of MetS (P for trend<0.01).Conclusions: Overweight and obesity in early adulthood and weight gain were both independently related to an increased risk of MetS in the middle-aged Chinese men and women. 

scholarly journals Body fat and fat-free mass inter-relationships: Forbes's theory revisited

2007 ◽  
Vol 97 (6) ◽  
pp. 1059-1063 ◽  
Author(s):  
Kevin D. Hall
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Weight Change ◽  
Fat Free Mass ◽  
Original Equation ◽  
Weight Changes ◽  
Body Composition Change ◽  
New Equation ◽  
Composition Changes

A theoretical equation was developed by Forbes that quantifies the fat-free proportion of a weight change as a function of the initial body fat. However, Forbes's equation was strictly valid only for infinitesimal weight changes. Here, I extended Forbes's equation to account for the magnitude and direction of macroscopic body weight changes. The new equation was also re-expressed in terms of an alternative representation of body composition change defined by an energy partitioning parameter called the P-ratio. The predictions of the resulting equations compared favourably with data from human underfeeding and overfeeding experiments and accounted for previously unexplained trends in the data. The magnitude of the body weight change had a relatively weak effect on the predicted body composition changes and the results were very similar to Forbes's original equation for modest weight changes. However, for large weight changes, such as the massive weight losses found in patients following bariatric surgery, Forbes's original equation consistently underestimated the fat-free mass loss, as expected. The new equation that accounts for the magnitude of the weight loss provides better predictions of body composition changes in such patients.

scholarly journals Changes and variations of body weight as risk factors for coronary heart disease

2008 ◽  
Vol 61 (5-6) ◽  
pp. 274-280 ◽  
Author(s):  
Dragana Jovanovic ◽  
Branko Jakovljevic ◽  
Katarina Paunovic ◽  
Dusan Grubor ◽  
Aleksandar Milovanovic
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Coronary Heart Disease ◽  
Weight Loss ◽  
Body Weight ◽  
Heart Disease ◽  
Weight Gain ◽  
Weight Change ◽  
Healthy Controls ◽  
Weight Changes

Introduction Weight variations are a common phenomenon. Therefore, concern has been raised about the association between weight changes and weight variations and coronary heart disease (CHD). The aim of this study was to estimate the influence of weight change and weight variations as risk factors for coronary heart disease. Materials and methods The investigation was conducted as an observational cross-sectional study, including 102 participants of both genders: 61 patients with CHD and 41 healthy controls. All participants underwent anthropometric measurements and completed a questionnaire that included 1) weight changes in adulthood (maximum and minimum weight), 2) presence and number of weight variations in the 10 years prior to the onset of disease and 3) the size of weight change (weight gain or weight loss in kg). One weight variation was defined as weight loss followed by weight gain for more than 10% of body weight, or about 7 kg. Multivariant logistic regression was used for the estimation of significant predictors for the occurrence of coronary heart disease. Results Participants with CHD had higher values of body weight in adulthood compared to healthy controls, larger number of weight variations in the last 10 years, and more frequently reported weight gain and weight loss for more than 10 kg. The highest risk for the occurrence of coronary heart disease was observed for participants who had more than 3 weight variations for 10% (OR=2.13; 95%CI=0.98-5.48), those with weight loss over 10 kg (OR=2.16; 95%CI=1.71-2.72) and those with weight gain over 10 kg (OR=2.71; 95%CI=1.08-6.83), regardless of gender, age, smoking, body mass index and blood pressure. Discussion Several mechanisms are suggested to explain the relationship between weight changes and variations and coronary heart disease, including changes in plasma lipid levels, insulin levels, decrease of HDL cholesterol, increase of C-reactive protein and increase of blood pressure. Conclusion This study suggests that frequent and very intense weight changes can be considered important predictors for the occurrence of coronary heart disease.

scholarly journals Body weight and return to work among survivors of early-stage breast cancer

ESMO Open ◽  
2020 ◽  
Vol 5 (6) ◽  
pp. e000908
Author(s):  
Antonio Di Meglio ◽  
Gwenn Menvielle ◽  
Agnes Dumas ◽  
Arnauld Gbenou ◽  
Sandrine Pinto ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Weight Loss ◽  
Body Weight ◽  
Weight Gain ◽  
Return To Work ◽  
Normal Weight ◽  
Psychosocial Treatment ◽  
Obese Patients ◽  
Weight Changes ◽  
The Impact

BackgroundMany breast cancer (BC) survivors are employed at diagnosis and are expected to return to work after treatment. Among them, around 50% are overweight or obese. There are limited data about the impact of body weight on their ability to return to work.MethodsWe used data from CANcer TOxicity (NCT01993498), a prospective, multicentre cohort of women with stage I–III BC. Professionally active women who were ≥5 years younger than retirement age were identified. Multivariable logistic regression models examined associations of body mass index (BMI) at diagnosis and subsequent weight changes with non-return to work 2 years after diagnosis, adjusting for psychosocial, treatment and behavioural characteristics.ResultsAmong 1869 women, 689 were overweight or obese. Overall, 398 patients (21.3%) had not returned to work 2 years after diagnosis. Non-return to work was more likely for overweight or obese than underweight or normal weight patients (adjusted OR (aOR) 1.32; 95% CI, 1.01 to 1.75; p=0.045). Weight loss (≥5%) was observed in 15.7% overweight or obese and 8.7% underweight or normal weight patients and was associated with significant increases in physical activity only among overweight or obese patients (mean change, +4.7 metabolic-equivalent-of-task-hour/week; 95% CI +1.9 to +7.5). Overweight or obese patients who lost weight were more likely to return to work compared with those who did not lose weight (aOR of non-return-to-work, 0.48; 95% CI 0.24 to 0.97, p=0.0418), whereas weight loss was associated with increased odds of non-return to work among underweight or normal weight women (aOR 2.07; 95% CI 1.20 to 3.56, p=0.0086) (pinteractionBMI×weight changes=0.0002). The continuous trend of weight gain on non-return to work was significant for overweight or obese patients (aOR for one-percent-unit difference, 1.03; 95% CI 1.01 to 1.06, p=0.030).ConclusionsExcess weight may be a barrier to return to work. Among overweight or obese BC survivors, weight loss was associated with higher rates of return to work, whereas further weight gain was associated with lower likelihood of return to work. Employment outcomes should be evaluated in randomised studies of weight management.

BODY WEIGHT CHANGES IN THE MOUSE DURING THE OESTROUS CYCLE AND PSEUDOPREGNANCY

1957 ◽  
Vol 15 (2) ◽  
pp. 230-233 ◽  
Author(s):  
A. D. DEWAR
Keyword(s):  
Body Weight ◽  
Weight Gain ◽  
Weight Change ◽  
Oestrous Cycle ◽  
Weight Increase ◽  
Close Similarity ◽  
Weight Changes ◽  
Body Weight Changes

SUMMARY Apart from a tendency to a slight increase in weight at oestrus, no marked cyclic alterations in body weight are evident in the mouse during the oestrous cycle. In pseudopregnancy, however, a definite weight increase (on average 7%) occurs; this weight gain is rapidly lost after removal of the ovaries, but may be maintained after spaying by the administration of progesterone, thus indicating a close similarity to the weight change of pregnancy.

scholarly journals Relation among Perceived Weight Change, Sedentary Activities and Sleep Quality during COVID-19 Lockdown: A Study in an Academic Community in Northern Italy

2021 ◽  
Vol 18 (6) ◽  
pp. 2943
Author(s):  
Margherita Micheletti Cremasco ◽  
Anna Mulasso ◽  
Alessia Moroni ◽  
Andrea Testa ◽  
Raffaella Degan ◽  
...  
Keyword(s):  
Body Weight ◽  
Weight Gain ◽  
Sleep Quality ◽  
Weight Change ◽  
Academic Community ◽  
Weight Changes ◽  
Significant Difference ◽  
Perceived Weight ◽  
The Impact ◽  
Sedentary Activities

In Italy, COVID-19 lockdown was imposed from 8 March until 3 May 2020 with negative consequences on the lifestyles and health of people. Within this context, the paper aims: (i) to analyse the impact of COVID-19 lockdown on perceived weight changes; (ii) to evaluate factors associated with the perception of weight changes (Body Mass Index (BMI), sleep quality, time spent in sedentary activities), in an Italian academic community of students and workers. A total of 3666 participants took part in this cross-sectional study (2838 students and 828 workers, of whom 73.0% were female). T-test, Chi-square test and the two-way ANOVA were used. Results showed that 43.3% of participants perceived a weight gain. Workers experienced a more substantial increase in body weight (0.7 kg) compared to students (0.3 kg; p = 0.013). A significant difference between preobese/obese workers (0.9 kg) and students (−0.3 kg; p < 0.001) was found. Overall, 57.0% of the sample was characterized by high levels of sedentary activities. Sedentary people noticed a higher weight gain (0.4 kg) compared to less sedentary people (0.3 kg; p = 0.048). More than 45% of participants reported a worsening of sleep quality and showed a perceived increase in body weight (0.5 kg) in comparison to those who improved their sleep quality (no weight change; p = 0.001). Designing tailored interventions to promote health-related behaviours during lockdown periods is essential.

scholarly journals Managing Obesity in Lockdown: Survey of Health Behaviors and Telemedicine

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1359
Author(s):  
Noga C Minsky ◽  
Dafna Pachter ◽  
Galia Zacay ◽  
Naama Chishlevitz ◽  
Miriam Ben-Hamo ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Weight Gain ◽  
Health Behaviors ◽  
Online Survey ◽  
Eating Patterns ◽  
Weight Changes ◽  
Exercise Habits ◽  
Prevent Weight Gain ◽  
Vegetables And Fruits

Since the outbreak of COVID-19, billions of people have gone into lockdown, facing pandemic related challenges that engender weight gain, especially in the obese. We report the results of an online survey, conducted during Israel’s first quarantine, of 279 adults treated in hospital-based obesity clinics with counseling, medications, surgery, endoscopic procedures, or any combination of these for weight loss. In this study, we assessed the association between changes in dietary and lifestyle habits and body weight, and the benefits of receiving weight management care remotely through telemedicine during lockdown. Compared to patients not receiving obesity care via telemedicine, patients receiving this care were more likely to lose weight (OR, 2.79; p = 0.042) and also to increase participation in exercise (OR, 2.4; p = 0.022). While 40% of respondents reported consuming more sweet or salty processed snacks and 33% reported less vegetables and fruits, 65% reported more homemade foods. At the same time, 40% of respondents reported a reduction in exercise and 52% reported a decline in mood. Alterations in these eating patterns, as well as in exercise habits and mood, were significantly associated with weight changes. This study highlights that lockdown affects health behaviors associated with weight change, and advocates for the use of telemedicine to provide ongoing obesity care during future quarantines in order to promote weight loss and prevent weight gain.

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