Chemotherapy-associated changes in 31P MRS spectra of sera from patients with multiple myeloma

Design and Rationale of Prolonged Nightly Fasting for Multiple Myeloma Prevention (PROFAST): Protocol for a Randomized Controlled Pilot Trial

BACKGROUND

Obesity is an established, modifiable risk factor of multiple myeloma (MM); yet, no lifestyle interventions are routinely recommended for patients with overweight or obesity with MM precursor conditions. Prolonged nightly fasting is a simple, practical dietary regimen supported by research, suggesting that the synchronization of feeding-fasting timing with sleep-wake cycles favorably affects metabolic pathways implicated in MM. We describe the design and rationale of a randomized controlled pilot trial evaluating the efficacy of a regular, prolonged nighttime fasting schedule among individuals with overweight or obesity at high risk for developing MM or a related lymphoid malignancy.

OBJECTIVE

We aim to investigate the effects of 4-month prolonged nightly fasting on body composition and tumor biomarkers among individuals with overweight or obesity with monoclonal gammopathy of undetermined significance (MGUS), smoldering multiple myeloma (SMM), or smoldering Waldenström macroglobulinemia (SWM).

METHODS

Individuals with MGUS, SMM, or SWM aged ≥18 years and a BMI of ≥25 kg/m2 are randomized to either a 14-hour nighttime fasting intervention or a healthy lifestyle education control group. Participants' baseline diet and lifestyle patterns are characterized through two 24-hour dietary recalls: questionnaires querying demographic, comorbidity, lifestyle, and quality-of-life information; and wrist actigraphy measurements for 7 days. Fasting intervention participants are supported through one-on-one telephone counseling by a health coach and automated SMS text messaging to support fasting goals. Primary end points of body composition, including visceral and subcutaneous fat (by dual-energy x-ray absorptiometry); bone marrow adiposity (by bone marrow histology); and tumor biomarkers, specifically M-proteins and serum free light-chain concentrations (by gel-based and serum free light-chain assays), are assessed at baseline and after the 4-month study period; changes therein from baseline are evaluated using a repeated measures mixed-effects model that accounts for the correlation between baseline and follow-up measures and is generally robust to missing data. Feasibility is assessed as participant retention (percent dropout in each arm) and percentage of days participants achieved a ≥14-hour fast.

RESULTS

The PROlonged nightly FASTing (PROFAST) study was funded in June 2022. Participant recruitment commenced in April 2023. As of July 2023, six participants consented to the study. The study is expected to be completed by April 2024, and data analysis and results are expected to be published in the first quarter of 2025.

CONCLUSIONS

PROFAST serves as an important first step in exploring the premise that prolonged nightly fasting is a strategy to control obesity and obesity-related mechanisms of myelomagenesis. In evaluating the feasibility and impact of prolonged nightly fasting on body composition, bone marrow adipose tissue, and biomarkers of tumor burden, this pilot study may generate hypotheses regarding metabolic mechanisms underlying MM development and ultimately inform clinical and public health strategies for MM prevention.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05565638; http://clinicaltrials.gov/ct2/show/NCT05565638.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/51368.

High-density lipoprotein cholesterol and multiple myeloma: A systematic review and meta-analysis

Background and aims

To systematically investigate all relevant evidence on the association between high-density lipoprotein cholesterol (HDL-C) and multiple myeloma (MM).

Methods

We searched PubMed and Cochrane library databases (up to 20 September 2022) for studies with evidence on HDL-C in patients with MM. A qualitative synthesis of published prospective and retrospective studies for the role of HDL-C and other lipid profile parameters in MM was performed. Additionally, a meta-analysis on HDL-C mean differences (MD) between MM cases and controls was performed.

Results

Fourteen studies (3 prospective, 11 retrospective) including 895 MM patients were eligible for this systematic review. Ten studies compared HDL-C levels in MM patients with healthy controls. In these 10 studies (n = 17,213), pooled analyses showed that MM patients had significantly lower HDL-C levels compared to healthy controls (MD: -13.07 mg/dl, 95% CI: -17.83, -8.32, p < 0.00001). Regarding secondary endpoints, total cholesterol (TC) (MD: -22.19 mg/dl, 95% CI: -39.08, -5.30) and apolipoprotein A-I (apoA-I) (-40.20 mg/dl, 95% CI: -55.00, -25.39) demonstrated significant decreases, while differences in low-density lipoprotein cholesterol (LDL-C) (MD: -11.33 mg/dl, 95% CI: -36.95, 14.30) and triglycerides (MD: 9.93 mg/dl, 95% CI: -3.40, 23.26) were not shown to be significant.

Conclusions

HDL-C, as well as TC and apoA-I, levels are significantly decreased in MM. Hence, lipid profile parameters should be taken into account when assessing such patients.

Serum NMR-Based Metabolomics Profiling Identifies Lipoprotein Subfraction Variables and Amino Acid Reshuffling in Myeloma Development and Progression

Multiple myeloma (MM) is an incurable hematological cancer. It is preceded by monoclonal gammopathy of uncertain significance (MGUS)-an asymptomatic phase. It has been demonstrated that early detection increases the 5-year survival rate. However, blood-based biomarkers that enable early disease detection are lacking. Metabolomic and lipoprotein subfraction variable profiling is gaining traction to expand our understanding of disease states and, more specifically, for identifying diagnostic markers in patients with hematological cancers. This study aims to enhance our understanding of multiple myeloma (MM) and identify candidate metabolites, allowing for a more effective preventative treatment. Serum was collected from 25 healthy controls, 20 patients with MGUS, and 30 patients with MM. 1H-NMR (Nuclear Magnetic Resonance) spectroscopy was utilized to evaluate serum samples. The metabolite concentrations were examined using multivariate, univariate, and pathway analysis. Metabolic profiles of the MGUS patients revealed lower levels of alanine, lysine, leucine but higher levels of formic acid when compared to controls. However, metabolic profiling of MM patients, compared to controls, exhibited decreased levels of total Apolipoprotein-A1, HDL-4 Apolipoprotein-A1, HDL-4 Apolipoprotein-A2, HDL Free Cholesterol, HDL-3 Cholesterol and HDL-4 Cholesterol. Lastly, metabolic comparison between MGUS to MM patients primarily indicated alterations in lipoproteins levels: Total Cholesterol, HDL Cholesterol, HDL Free Cholesterol, Total Apolipoprotein-A1, HDL Apolipoprotein-A1, HDL-4 Apolipoprotein-A1 and HDL-4 Phospholipids. This study provides novel insights into the serum metabolic and lipoprotein subfraction changes in patients as they progress from a healthy state to MGUS to MM, which may allow for earlier clinical detection and treatment.

NMR-based metabolomics of biofluids in cancer

This review describes the current status of NMR-based metabolomics of biofluids with respect to cancer risk assessment, detection, disease characterization, prognosis, and treatment monitoring. While the metabolism of cancer cells is altered compared with that of non-proliferating cells, the metabolome of blood and urine reflects the entire organism. We conclude that many studies show impressive associations between biofluid metabolomics and cancer progression, but translation to clinical practice is currently hindered by lack of validation, difficulties in biological interpretation, and non-standardized analytical procedures.

Sphingomyelin in high-density lipoproteins: structural role and biological function

High-density lipoprotein (HDL) levels are an inverse risk factor for cardiovascular diseases, and sphingomyelin (SM) is the second most abundant phospholipid component and the major sphingolipid in HDL. Considering the marked presence of SM, the present review has focused on the current knowledge about this phospholipid by addressing its variable distribution among HDL lipoparticles, how they acquire this phospholipid, and the important role that SM plays in regulating their fluidity and cholesterol efflux from different cells. In addition, plasma enzymes involved in HDL metabolism such as lecithin-cholesterol acyltransferase or phospholipid transfer protein are inhibited by HDL SM content. Likewise, HDL SM levels are influenced by dietary maneuvers (source of protein or fat), drugs (statins or diuretics) and modified in diseases such as diabetes, renal failure or Niemann-Pick disease. Furthermore, increased levels of HDL SM have been shown to be an inverse risk factor for coronary heart disease. The complexity of SM species, described using new lipidomic methodologies, and their distribution in different HDL particles under many experimental conditions are promising avenues for further research in the future.

Proton NMR-based metabolite analyses of archived serial paired serum and urine samples from myeloma patients at different stages of disease activity identifies acetylcarnitine as a novel marker of active disease

BACKGROUND

Biomarker identification is becoming increasingly important for the development of personalized or stratified therapies. Metabolomics yields biomarkers indicative of phenotype that can be used to characterize transitions between health and disease, disease progression and therapeutic responses. The desire to reproducibly detect ever greater numbers of metabolites at ever diminishing levels has naturally nurtured advances in best practice for sample procurement, storage and analysis. Reciprocally, since many of the available extensive clinical archives were established prior to the metabolomics era and were not processed in such an 'ideal' fashion, considerable scepticism has arisen as to their value for metabolomic analysis. Here we have challenged that paradigm.

METHODS

We performed proton nuclear magnetic resonance spectroscopy-based metabolomics on blood serum and urine samples from 32 patients representative of a total cohort of 1970 multiple myeloma patients entered into the United Kingdom Medical Research Council Myeloma IX trial.

FINDINGS

Using serial paired blood and urine samples we detected metabolite profiles that associated with diagnosis, post-treatment remission and disease progression. These studies identified carnitine and acetylcarnitine as novel potential biomarkers of active disease both at diagnosis and relapse and as a mediator of disease associated pathologies.

CONCLUSIONS

These findings show that samples conventionally processed and archived can provide useful metabolomic information that has important implications for understanding the biology of myeloma, discovering new therapies and identifying biomarkers potentially useful in deciding the choice and application of therapy.

31P MRS analysis of the phospholipid composition of the peripheral blood mononuclear cells (PBMC) and bone marrow mononuclear cells (BMMC) of patients with acute leukemia (AL)

The aim of this study was to evaluate the phospholipid concentration in acute leukemia (AL) blast cells from peripheral blood (PBMC) and bone marrow (BMMC). In vitro 31P Nuclear Magnetic Resonance Spectroscopy (31P MRS) was used. The integral intensities of the resonant peaks and the phospholipid concentrations in PBMC and BMMC were analyzed. Differences in the phospholipid concentrations in cells from myeloblastic or lymphoblastic lines were also evaluated. This investigation was carried out on phospholipid extracts from PBMC and BMMC from 15 healthy volunteers and 77 patients with AL (samples taken at the moment of diagnosis). A significant decrease in sphingomyelin (SM) and phosphtidylserine (PS) was observed in the PBMC of patients with AL relative to the results for the healthy volunteers. For ALL, we found a significant decrease in the concentration of phosphatidylcholine plasmalogen (CPLAS), SM, PI+PE (phosphatidylinositol + phosphatidylethanolamine) and PS in comparison with the results for healthy volunteers and patients with AML. Experiments with BMMC cells revealed a significant decrease in the concentration of CPLAS, SM, PI+PE, and PS in ALL relative to AML. Additionally, a significant decrease in phosphatidylcholine (PC) concentration was observed in ALL compared to AML. If the phospholipid extracts were taken simultaneously from the same patient, there were no significant differences in the integral intensities and phospholipid concentrations between PBMC and BMMC.

Metabonomic profiling of renal cell carcinoma: high-resolution proton nuclear magnetic resonance spectroscopy of human serum with multivariate data analysis

Metabonomic profiling using proton nuclear magnetic resonance ((1)H NMR) spectroscopy and multivariate data analysis of human serum samples was used to characterize metabolic profiles in renal cell carcinoma (RCC). We found distinct, easily detectable differences between (a) RCC patients and healthy humans, (b) RCC patients with metastases and without metastases, and (c) RCC patients before and after nephrectomy. Compared to healthy human serum, RCC serum had higher levels of lipid (mainly very low-density lipoproteins), isoleucine, leucine, lactate, alanine, N-acetylglycoproteins, pyruvate, glycerol, and unsaturated lipid, together with lower levels of acetoacetate, glutamine, phosphatidylcholine/choline, trimethylamine-N-oxide, and glucose. This pattern was somewhat reversed after nephrectomy. Altered metabolite concentrations are most likely the result of the cells switching to glycolysis to maintain energy homeostasis following the loss of ATP caused by impaired TCA cycle in RCC. Serum NMR spectra combined with principal component analysis techniques offer an efficient, convenient way of depicting tumour biochemistry and stratifying tumours under different pathophysiological conditions. It may be able to assist early diagnosis and postoperative surveillance of human malignant diseases using single blood samples.

Lipid changes occuring in the course of hematological cancers

The relationship between plasma lipid levels and mortality from cardiovascular diseases has been shown in many studies, but there has been far less investigation into their relationship to non-cardiovascular diseases. The aim of this study was to investigate the lipid profile of individuals with hematological malignancies and its relationship to disease activity. 238 patients were included in the study: 84 with acute leukemia, 62 with non-Hodgkin lymphoma, 35 with Hodgkin's lymphoma, 32 with multiple myeloma, and 25 with myeloproliferative syndrome. The HDL cholesterol level of the patients differed to that of the individuals in the control group in the active disease period for all the analyzed disorders, but only remained statistically significant in the acute leukemia and non-Hodgkin lymphoma groups during the remission period. Smaller differences were observed for the remaining lipid fractions, except for the triglyceride level, which increased in the active disease period in all the analyzed disorders except non-Hodgkin lymphoma. The most pronounced changes in the lipid fractions occurred in the HDL cholesterol level, and were the most remarkable for acute leukemia.

Application of 31P MRS to the analysis of phospholipid changes in plasma of patients with acute leukemia

The aim of the experiment was to evaluate the changes of phospholipid concentrations in patients (n=30) with acute leukemia compared with reference group of healthy volunteers (n=21). The analysis focused on the following phospholipids (PL) collected from plasma: phosphatidylcholine (PC), plasmalogen of phosphatidylcholine (CPLAS), lysophosphatidylcholine (LPC), sphingomyelin (SM), phosphatidylethanolamine (PE), and phosphatidylinositol (PI). Phospholipid extracts were obtained by Folch's method from 4 ml of plasma. 31P MR spectra were obtained on an AMX Bruker 300 MHz (7.05 T) spectrometer. Calculation of concentration based on integral intensity of the phospholipid relative to an internal concentration standard of MDPA. For healthy volunteers, the following values of phospholipid concentrations were obtained: (5.18+/-1.615) mmol/l for PC+CPLAS; (0.364+/-0.178) mmol/l for LPC; (1.211+/-0.411) mmol/l for SM; (0.343+/-0.124) mmol/l for PI+PE. PLs of patients were assayed at least twice: at the time of diagnosis and, when appropriate, at the time of complete remission from the disease (CR). At the time of diagnosis, the mean concentrations of studied compounds were: (1.602+/-0.716) mmol/l for PC+CPLAS; (0.041+/-0.048) mmol/l for LPC; (0.398+/-0.198) mmol/l for SM; (0.045+/-0.071) mmol/l for PI+PE. After attainment of complete remission (CR), the respective values were as follows: (4.094+/-1.886) mmol/l for PC+CPLAS; (0.295+/-0.139) mmol/l for LPC; (1.123+/-0.634) mmol/l for SM; (0.230+/-0.125) mmol/l for PI+PE. All concentrations found in patients at the time of diagnosis were significantly lower than in reference group and in those benefited from complete remission (CR). By contrast the differences in concentrations of phospholipids in plasma between patients with complete remission (CR) and healthy volunteers were no statistically significant.

31P NMR spectroscopy of blood plasma: determination and quantification of phospholipid classes in patients with renal cell carcinoma

Advanced renal cell carcinoma (RCC) has a poor prognosis and is characterized by an unpredictable clinical course. The aim of this study was to assess the systemic phospholipid distribution as a possible marker of tumor stage and tumor spread beyond the kidney. To this end, the effect of renal cell carcinoma (RCC) on phospholipid concentrations in blood plasma using 31P NMR spectroscopy was studied in: (a) 29 patients with RCC prior to nephrectomy; (b) 19 healthy volunteers; (c) three patients with other renal tumors (renal metastases of bronchial carcinoma and of renal pelvic carcinoma, and a benign renal tumor). Furthermore, the phospholipid concentrations of eight patients of group (a) were determined 6 months after nephrectomy, when they were in remission. We found considerable deviations in the concentrations of the lysophosphatidylcholines (LPC1, LPC2) in both male and female patients with RCC compared to healthy volunteers (male--LPC1 0.217+/-0.062 vs 0.297+/-0.049 mmol/l, LPC2 0.036+/-0.014 vs 0.068+/-0.024 mmol/l; female--LPC1 0.195+/-0.071 vs 0.296+/-0.044 mmol/l, LPC2 0.037+/-0.027 vs 0.044+/-0.014 mmol/l). In addition, female patients with RCC showed lower concentrations of phosphatidylcholines (PC; 1.409+/-0.268 vs 1.947+/-0.259 mmol/l). The low phospholipid concentrations normalized for patients in remission. Phospholipid concentrations were found to depend on tumor stage and metastatic spread. The deviations in phospholipid concentrations (LPC1, LPC2, PC) observed may be attributable to systemic effects caused by the tumor as well as changes in enzyme activities.

Systemic alterations in phospholipid concentrations of blood plasma in patients with thyroid carcinoma: an in-vitro (31)P high-resolution NMR study

In this study in-vitro (31)P high-resolution NMR spectroscopy of human blood plasma was optimized to obtain absolute concentrations of the major plasmaphospholipids: phosphatidylethanolamine plus sphingomyelin (PE + SM), 1- and 2-acyl-lysophosphatidylcholine (LPC1 and LPC2), phosphatidylinositol (PI) and phosphatidylcholine (PC). Plasma spectra of 33 patients with thyroid carcinoma were acquired at 121.49 MHz using a 300 MHz spectrometer. The patients were rendered hypothyroid (TSH >30 mU/l) in preparation for a whole-body scintigraphy. The whole-body scintigraphy showed tumour tissue or metastases in 16 patients (group C). Owing to an inconclusive whole-body scintigraphy, 17 patients were classified as being in remission (group B). After levothyroxine substitution 14 patients of group B were measured in euthyroidism too (group D). Besides these sub-groups, there was a control group made up of 23 healthy volunteers (group A). Group B showed significantly higher PE + SM and PC concentrations than group C (0.59 +/- 0.02 mmol/l PE + SM in B vs 0.48 +/- 0.02 mmol/l in C; 2.1 +/- 0.1 mmol/l PC in B vs 1.6 +/- 0.1 mmol/l in C). In comparison with group D higher concentrations of the phospholipids PE + SM and PC as well as PI were found in group B (0.59 +/- 0.02 mmol/l PE + SM in B vs 0.48 +/- 0.03 mmol/l in D; 0.074 +/- 0.005 mmol/l PI in B vs 0.046 +/- 0.004 mmol/l in D; 2.1 +/- 0.1 mmol/l PC in B vs 1.6 +/- 0.1 mmol/l in D). The data indicate that under the condition of hypothyroidism only patients in remission (group B) show significantly increased phospholipid concentrations, whereas the values in patients with remaining tumour tissue (group C) do not differ from those of the reference groups A and D. This finding is interpreted as an interference between the hormonal status and the systemic effects of cancer.

Abnormal serum lysophospholipids in multiple myeloma patients

Lysophosphatidylcholine (LPC) and lysophosphatidic acid (LPA) mediate various kinds of biological activities and play an important role in cellular signal transduction. We analyzed serum phospholipids obtained from 16 multiple myeloma (MM) patients and observed that serum LPA level was significantly higher in MM patients (5.3 +/- 0.5 nmol/mL) than in normal controls (1.7 +/- 0.3 nmol/mL). LPC level was also higher than that in normal controls, and it correlated significantly with the concentration of LPA (r = 0.678, P < 0.01). In MM patients, palmitic acid/linoleic acid ratios in phosphatidylcholine and LPC were higher than those in normal controls. In the 12-mon follow-up study of two patients with the immune globulin G type, we recognized that the increase of LPC, LPA, and arachidonic acid/linoleic acid ratio in phosphatidylinositol corresponded with a decline in the serum albumin level and choline esterase activity.

Treatment-induced changes in 31P-MRS (magnetic resonance spectroscopy) spectra of sera from patients with acute leukemia

31P-nuclear magnetic resonance (NMR) spectra were obtained in vitro from sera of 40 healthy volunteers and 30 patients with acute leukemia (AL) at the time of diagnosis and repeated up to 2-13 times during therapy. All spectra consisted of inorganic phosphate (Pi) peak (used as a reference peak) and two peaks from phospholipids (PL): one peak due to phosphatidylethanolamine and sphingomyelin (PE + SM) and second peak due to phosphatidylcholine (PC). Prior to initiation of therapy 31P spectra of sera of patients with acute leukemia differed from spectra of sera of normal individuals. Peak intensities of the PL were low in relation to Pi. During therapy leading to remission, resonance from PL progressively increased approximately to the spectral pattern in normal sera. Contrary to that, in non-responders the intensities of the phospholipids peaks remained unchanged. Long-term follow-up 31P-MRS studies showed not only a good correlation between this 31P-MRS evolution of sera and the response to the therapy but also showed changes in phospholipids' levels in the following days during and after therapy. Moreover, correlations were found between high-density lipoprotein (HDL), cholesterol (CHOL) and low-density lipoprotein (LDL) concentrations measured by conventional techniques and peak intensities of PC and of PE + SM acquired by 31P-MRS.

Application of 31P NMR spectroscopy to monitor chemotherapy-associated changes of serum phospholipids in patients with malignant lymphomas

31P spectra were obtained from 22 healthy volunteers and 35 patients with malignant lymphomas. Sera from patients were collected at the time of diagnosis and at several time-points during therapy. Long-term follow-up studies showed a good correlation between the 31P NMR spectra of sera and the clinically evident response of the disease to the chemotherapy. During therapy leading to remission resonance from phospholipids increased progressively resulting in spectra similar to those seen in normal sera. By contrast, in patients who did not respond to therapy the intensities of the phospholipid peaks remained relatively low or became progressively reduced as the disease progressed. To understand the source of the spectral differences, we also examined the concentrations of high-density lipoprotein, low-density lipoprotein, cholesterol, and triglycerides. In individuals responding to the treatment, both high-density lipoprotein and cholesterol increased to the point where they were statistically equivalent to those from healthy volunteers.