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Quantifying sphingomyelin (SM) species by infusion-based mass spectrometry (MS) is complicated by the presence of isobaric phosphatidylcholine (PC) species, which generate a common

Placental tissue intracellular calcium (Ca

Both clinical and laboratory studies have shown that monocyte chemotactic protein-1 (MCP-1) is involved in cancer spread. To understand the role of MCP-1 in metabolism in the presence of metastasis, we conducted an untargeted metabolomic analysis of primary metabolism on plasma collected from a study showing that MCP-1 deficiency reduces spontaneous metastasis of Lewis lung carcinoma (LLC) to the lungs in mice fed a high-fat diet (HFD). In a 2 × 2 design, wild-type (WT) or Mcp-1 knockout ( Mcp-1-/-) mice maintained on the AIN93G standard diet or HFD were subcutaneously injected with LLC cells to induce lung metastasis. We identified 87 metabolites for metabolomic analysis from this study. Amino acid metabolism was altered considerably in the presence of LLC metastases with the aminoacyl-tRNA biosynthesis pathways as the leading pathway altered. The HFD modified lipid and energy metabolism, evidenced by lower contents of arachidonic acid, cholesterol, and long-chain saturated fatty acids and higher contents of glucose and pyruvic acid in mice fed the HFD. These findings were supported by network analysis showing alterations in fatty acid synthesis and glycolysis/gluconeogenesis pathways between the 2 diets. Furthermore, elevations of the citrate cycle intermediates (citric acid, fumaric acid, isocitric acid, and succinic acid) and glyceric acid in Mcp-1-/- mice, regardless of diet, suggest the involvement of MCP-1 in mitochondrial energy metabolism during LLC metastasis. The present study demonstrates that MCP-1 deficiency and the HFD altered plasma metabolome in mice bearing LLC metastases. These findings can be useful in understanding the impact of obesity on prevention and treatment of cancer metastasis.

BACKGROUND: Branched-chain fatty acids (BCFAs) are rumen-derived fatty acids comprising ∼2% of bovine-milk fatty acids. BCFAs possess anti-inflammatory properties and enriching the BCFA content of bovine milk may provide human health benefits. OBJECTIVE: We determined whether forage content impacts the BCFA content of milk from Holstein cows and identified fatty acid phenotypes in high vs. low BCFA–containing milks. METHODS: Holstein cows (n = 62), fed for 67 d in a crossover design, consumed a diet with high forage and low concentrate (HF:C) and a diet with low forage and high concentrate (LF:C). Milk samples were collected at the end of each treatment period and fatty acid content determined. Paired t-tests, 1-factor ANOVA, sparse partial least-squares discriminant analysis (sPLSDA), and Pearson's correlation analysis were used to analyze the data. RESULTS: The total milk fatty acid concentration for cows fed the HF:C diet was greater than that of cows fed the LF:C diet (4.2 ± 0.7 g/100 mL vs. 3.9 ± 0.9 g/100 mL). sPLSDA demonstrated separation of the dietary treatments, with BCFAs and odd-chain fatty acids as primary determinants. Total BCFA content in milk fat was elevated by HF:C intake compared with LF:C intake (1.80 vs. 1.68%). Quintile separation of high vs. low BCFA milks resulted in 4 groups: HF:C /low BCFAs, HF:C /high BCFAs; LF:C /low BCFAs, and LF:C /high BCFAs. Milks from the high BCFA quintiles had lower palmitic acid content (29.6% vs. 34.4%) but higher oleic acid content than milks from the low BCFA quintiles (19.7% vs. 17.0%). Some cows were identified as high BCFA producers or low BCFA producers regardless of diet. CONCLUSIONS: BCFA content of milk is diet-sensitive but variation in responses exists. The potential to produce milk with high BCFA content and lower SFA content needs further study.

Dietary malpractice is a risk factor for obesity. This study tested the hypothesis that consumption of a high-fat diet alters mammary metabolome in pubertal mice. We performed untargeted metabolomic analysis of primary metabolism on mammary glands from pubertal mice fed the AIN93G standard diet or a high-fat diet (HFD) for 3 weeks. We identified 97 metabolites for statistical comparisons. The HFD altered the amino acid metabolism considerably. This included elevated expression of branched-chain amino acids, non-essential amino acids (aspartic acid and glutamic acid), and methionine sulfoxide (oxidized methionine) and an alteration in the aminoacyl-tRNA biosynthesis pathway. Furthermore, elevations of fumaric acid and malic acid (both are citrate cycle intermediates) and glyceric acid (its phosphate derivatives are intermediates of glycolysis) in HFD-fed mice suggest an acceleration of both citrate cycle and glycolysis. Lower expression of glycerol, oleic acid, and palmitoleic acid, as well as decreased mammary expression of genes encoding lipid metabolism ( Acaca, Fads1, Fasn, Scd1, and Srebf1) in HFD-fed mice indicate an attenuated lipid metabolism in the presence of adequate dietary fat. In conclusion, consumption of the HFD for 3 weeks alters metabolic profile of pubertal mammary glands. This alteration may affect mammary development and growth in pubertal mice.

Adoption of an obesogenic diet such as a high-fat diet (HFD) results in obesity, bacterial dysbiosis, chronic inflammation, and cancer. Gut bacteria and their metabolites are recognized by interleukin-1 (IL-1R)/toll-like receptors (TLRs) which are essential to maintain intestinal homeostasis. Moreover, host extracellular microRNAs (miRNAs) can alter bacterial growth in the colon. Characterization of the underlying mechanisms may lead to identifying fecal oncogenic signatures reflecting colonic health. We hypothesize that an HFD accelerates the inflammatory process and modulates IL-1R/TLR pathways, gut microbiome, and disease-related miRNA in the colon. In this study, 4-week-old C57BL/6 mice were fed a modified AIN93G diet (AIN, 16% energy fat) or an HFD (45% energy fat) for 15 weeks. In addition to increased body weight and body fat composition, the concentrations of plasma interleukin 6 (IL-6), inflammatory cell infiltration, β-catenin, and cell proliferation marker (Ki67) in the colon were elevated68% in the HFD group compared to the AIN group. Using a PCR array analysis, we identified 14 out of 84 genes with a ≥ 24% decrease in mRNA content related to IL-1R and TLR pathways in colonic epithelial cells in mice fed an HFD compared to the AIN. Furthermore, the content of Alistipes bacteria, the Firmicutes/Bacteroidetes ratio, microRNA-29a, and deoxycholic and lithocholic acids (secondary bile acids with oncogenic potential) were 55% greater in the feces of the HFD group compared to the AIN group. Collectively, this composite, a multimodal profile may represent a unique HFD-induced fecal signature for colonic inflammation and cancer in C57BL/6 mice.

Metastasis is a devastating aspect of cancer. This study tested the hypothesis that metabolome of metastases differs from that of host organs by using the spontaneous metastasis model of Lewis lung carcinoma (LLC). In a 2 × 2 design, male C57BL/6 mice with or without a subcutaneous LLC inoculation were fed the standard AIN93G diet or a high-fat diet (HFD) for 12 weeks. Lung metastases from injected mice and the lungs from non-injected mice were harvested at the end of study for untargeted metabolomics of primary metabolism by using gas chromatography time-of-flight mass spectrometry. We identified 91 metabolites for metabolomic analysis. The analysis demonstrated that amino acid and energy metabolism were altered the most in LLC metastases compared to the lungs. A 60% decrease in glutamine and a 25-fold elevation in sorbitol were observed in metastases. Cholesterol and its metabolite dihydrocholesterol were 50% lower in metastases than in the lungs. The HFD elevated arachidonic acid and its precursor linoleic acid in the lungs from noncancer-bearing mice, reflecting the dietary fatty acid composition of the HFD. This elevation did not occur in metastases from HFD-fed LLC-bearing mice, suggesting alterations in lipid metabolism during LLC metastatic progression. Understanding the differences in metabolome between pulmonary LLC metastases and the normal healthy lungs can be useful in designing targeted studies for prevention and treatment of cancer spread using this LLC spontaneous metastasis model.

Metastasis, the spread of malignant cells from a primary tumor to distant organs, is the most devastating aspect of cancer. To understand the metabolism of metastases, we compared the metabolomes of pulmonary metastases of Lewis lung carcinoma (LLC) with that of normal lung tissues from mice fed an obesogenic high-fat diet. In a 2x2 design, male C57BL/6 mice, with or without a subcutaneous LLC inoculation, were fed the standard AIN93G diet or a high-fat diet (HFD), which provided 16% or 45% of energy from soybean oil, for 12 weeks. At the end of the study, lung metastases from injected mice and the lungs from non-injected mice were harvested for untargeted metabolomic analysis of primary metabolism by gas chromatography time-of-flight mass spectrometry (GC-TOF-MS). We identified 91 metabolites, 70 of which differed among the four groups. Pathway and network analyses along with the discriminant analysis showed that amino acid and carbohydrate metabolism were altered the most in metastases compared to the normal lung tissue (e.g., aminoacyl-tRNA biosynthesis pathways and the citric cycle). A 60% decrease in glutamine and a 25-fold elevation in sorbitol were observed in metastases. Cholesterol and its metabolite dihydrocholesterol were 50% lower in metastases than in the lungs. The HFD elevated arachidonic acid and its precursor linoleic acid in the lungs from non-LLC-bearing mice, which reflected dietary fatty acid composition of the HFD. However, such elevation did not occur in metastases from HFD-fed LLC-bearing mice, suggesting alterations in fatty acid metabolism during LLC metastatic progression. Differences in metabolomes between LLC pulmonary metastases and the normal healthy lungs identified in the present study can be useful in designing targeted studies for prevention and treatment of metastasis using this spontaneous metastasis model. Citation Format: Lin Yan, Sneha Sundaram, Bret M. Rust, Matthew J. Picklo, Michael R. Bukowski. Metabolomic differences between pulmonary metastasis of Lewis lung carcinoma and normal lungs from C57BL/6 mice fed an obesogenic high-fat diet [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 709.

Machine learning and classical statistics were used to unravel the complex data set generated by the analysis of 77 fatty acids in milk from 76 cows fed 3 forages. Multivariate analysis of variance – principal components analysis (mANOVA-PCA) was used to deconvolute the data and determine the variance contributed by the main experimental factors: forage, the arbitrary cow groups, cow-to-cow variability, and milking day. All four factors contributed significantly to the data variance at the 99% confidence level as did the cross-factor variances. Cow-to-cow variance constituted 51% of the total variance of the data set and had to be removed before the significance of the other factors could be determined. The 3 forages were then found to generate milk fatty acid profiles that were significantly different. The PCA loadings showed that the major contributors to separate clustering of the forages were the less concentrated branched chain fatty acids. Fatty acids with even numbers of carbons were more concentrated, contributed high signal levels, and high noise, but were not significant in discriminating between forages. Classical paired analysis also removed the cow-to-cow variance and allowed discrimination between forages. The results showed that forages can significantly impact the fatty acid composition of milk.