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      Elevated levels of circulating betahydroxybutyrate in pituitary tumor patients may differentiate prolactinomas from other immunohistochemical subtypes

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          Abstract

          The diagnosis of various histological subtypes of pituitary tumors is made using serum based hormone panel test. However, certain subtypes secrete more than one hormone, making the diagnosis ambiguous. Here, we performed 1H-NMR based metabolomic analysis of serum and whole-blood from luteinizing/follicle-stimulating (LH/FSH)-secreting (n = 24), prolactinomas (n = 14), and non-functional (NF) (n = 9) tumors. We found elevated levels of betahydroxybutyrate (BHB) in serum and whole-blood (WB) of prolactinomas (0.481 ± 0.211/0.329 ± 0.228 mM in serum/WB), but it was statistically significant (p ≤ 0.0033, Bonferroni correction) only in serum when compared with LH/FSH-secreting tumor patients (0.269 ± 0.139/0.167 ± 0.113 mM in serum/WB). Phenylalanine in NF tumors was found to be elevated in both serum and WB when compared with prolactinomas but it met the statistical significance criteria (p ≤ 0.0028) only in the serum. Alanine (p ≤ 0.011), tyrosine (p ≤ 0.014) and formate (p ≤ 0.011) were also elevated in NF tumors but none showed statistically significance when compared with prolactinomas. Quantification of BHB and the above amino acids in the circulation may aid in the development of blood-based in vitro diagnostic methods which can supplement the currently used serum hormone panel in the diagnosis of various subtypes of pituitary tumors.

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          Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine.

          The clinical performance of a laboratory test can be described in terms of diagnostic accuracy, or the ability to correctly classify subjects into clinically relevant subgroups. Diagnostic accuracy refers to the quality of the information provided by the classification device and should be distinguished from the usefulness, or actual practical value, of the information. Receiver-operating characteristic (ROC) plots provide a pure index of accuracy by demonstrating the limits of a test's ability to discriminate between alternative states of health over the complete spectrum of operating conditions. Furthermore, ROC plots occupy a central or unifying position in the process of assessing and using diagnostic tools. Once the plot is generated, a user can readily go on to many other activities such as performing quantitative ROC analysis and comparisons of tests, using likelihood ratio to revise the probability of disease in individual subjects, selecting decision thresholds, using logistic-regression analysis, using discriminant-function analysis, or incorporating the tool into a clinical strategy by using decision analysis.
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            β-Hydroxybutyrate in the Brain: One Molecule, Multiple Mechanisms.

            β-Hydroxybutyrate (βOHB), a ketone body, is oxidised as a brain fuel. Although its contribution to energy metabolism in the healthy brain is minimal, it is an interesting metabolite which is not only oxidised but also has other direct and collateral effects which make it a molecule of interest for therapeutic purposes. In brain βOHB can be produced in astrocytes from oxidation of fatty acids or catabolism of amino acids and is metabolised in the mitochondria of all brain cell types although uptake across the blood brain barrier is a metabolic control point. βOHB possesses an intrinsic high heat of combustion, making it an efficient mitochondrial fuel, where it can alter the NAD+/NADH and Q/QH2 couples and reduce production of mitochondrial reactive oxygen species. It can directly interact as a signalling molecule influencing opening of K+ channels and regulation of Ca2+ channels. βOHB is an inhibitor of histone deacetylases resulting in upregulation of genes involved in protection against oxidative stress and regulation of metabolism. It interacts with an inflammasome in immune cells to reduce production of inflammatory cytokines and reduce inflammation. Use of βOHB as an efficient neurotherapeutic relies on increasing blood βOHB levels so as to encourage entry of βOHB to the brain. While use of βOHB as a sole therapeutic is currently limited, with employment of a ketogenic diet a more widely used approach, recent development and testing of esterified forms of βOHB have shown great promise, with the approach elevating plasma βOHB while allowing consumption of normal diet. An improved understanding of the mechanisms by which βOHB acts will allow better design of both diet and supplemental interventions.
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              ATP/ADP ratio, the missed connection between mitochondria and the Warburg effect.

              Non-proliferating cells generate the bulk of cellular ATP by fully oxidizing respiratory substrates in mitochondria. Respiratory substrates cross the mitochondrial outer membrane through only one channel, the voltage dependent anion channel (VDAC). Once in the matrix, respiratory substrates are oxidized in the tricarboxylic acid cycle to generate mostly NADH that is further oxidized in the respiratory chain to generate a proton motive force comprised mainly of membrane potential (ΔΨ) to synthesize ATP. Mitochondrial ΔΨ then drives the release of ATP(4-) from the matrix in exchange for ADP(3-) in the cytosol via the adenine nucleotide translocator (ANT) located in the mitochondrial inner membrane. Thus, mitochondrial function in non-proliferating cells drives a high cytosolic ATP/ADP ratio, essential to inhibit glycolysis. By contrast, the bioenergetics of the Warburg phenotype of proliferating cells is characterized by enhanced aerobic glycolysis and the suppression of mitochondrial metabolism. Suppressed mitochondrial function leads to lower production of mitochondrial ATP and hence lower cytosolic ATP/ADP ratios that favor enhanced glycolysis. Thus, the cytosolic ATP/ADP ratio is a key feature that determines if cell metabolism is predominantly oxidative or glycolytic. Here, we describe two novel mechanisms to explain the suppression of mitochondrial metabolism in cancer cells: the relative closure of VDAC by free tubulin and the inactivation of ANT. Both mechanisms contribute to low ATP/ADP ratios that activate glycolysis.
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                Author and article information

                Contributors
                kpichumani@houstonmethodist.org
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                28 January 2020
                28 January 2020
                2020
                : 10
                : 1334
                Affiliations
                [1 ]ISNI 0000 0004 0445 0041, GRID grid.63368.38, Kenneth R. Peak Brain and Pituitary Tumor Treatment Center, Department of Neurosurgery, Houston Methodist Neurological Institute, , Houston Methodist Hospital and Research Institute, ; Houston, TX USA
                [2 ]ISNI 000000041936877X, GRID grid.5386.8, Weill Cornell Medical College, ; New York, NY USA
                Article
                58244
                10.1038/s41598-020-58244-8
                6987215
                31992791
                918ee424-77d5-4529-ac5a-0007059904ce
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 9 September 2019
                : 6 January 2020
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                © The Author(s) 2020

                Uncategorized
                physiology,pituitary diseases
                Uncategorized
                physiology, pituitary diseases

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