11 research outputs found

    Large-Area Surface-Enhanced Raman Spectroscopy Imaging of Brain Ischemia by Gold Nanoparticles Grown on Random Nanoarrays of Transparent Boehmite

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    Although SERS spectroscopy, which is sensitive to molecular vibration states, offers label-free visualization of molecules, identification of molecules and their reliable large-area imaging remains to be developed. Limitation comes from difficulties in fabricating a SERS-active substrate with homogeneity over a large area. Here, we overcome this hurdle by utilizing a self-assembled nanostructure of boehmite that is easily achieved by a hydrothermal preparation of aluminum as a template for subsequent gold (Au) deposition. This approach brought about random arrays of Au-nanostructures with a diameter of ∼125 nm and a spacing of <10 nm, ideal for the <i>hot-spots</i> formation. The substrate, which we named “<i>gold nanocoral</i>” (GNC) after its coral reef-like shape, exhibited a small variability of signal intensities (coefficient value <11.2%) in detecting rhodamine 6G molecule when 121 spots were measured over an area of 10 × 10 mm<sup>2</sup>, confirming high uniformity. The transparent nature of boehmite enabled us to conduct the measurement from the <i>back-side</i> of the substrate as efficiently as that from the <i>front-side</i>. We then conducted tissue imaging using the mouse ischemic brain adhered on the GNC substrate. Through nontargeted construction of two-dimensional-Raman-intensity map using differential bands from two metabolically distinct regions, that is, ischemic core and contralateral-control areas, we found that mapping using the adenine ring vibration band at 736 cm<sup>–1</sup> clearly demarcated ischemic core where high-energy adenine phosphonucleotides were degraded as judged by imaging mass spectrometry. Such a detection capability makes the GNC-based SERS technology especially promising for revealing acute energy derangement of tissues

    Fasting-induced hepatic steatosis is reversible.

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    <p>(A) DKO mice fasted for 48 hours. After resuming food intake, blood and liver samples were collected at the indicated time points (24-, 48- or 72-hr after refeeding). Mice that did not undergo fasting (0-hr) or experienced 48 hours of fasting were used as controls. The TG content in the liver and the serum levels of biochemical parameters (NEFA, ketone bodies, TG and glucose) were measured as previously described in the <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0079386#s4" target="_blank">Materials and Methods</a> section. n = 5−11/group. Data are shown as the mean ± SE. Control vs. no fasting/refeeding ⋆⋆p<0.01, ⋆⋆⋆p<0.001.</p

    Impaired glucose homeostasis in DKO mice during prolonged fasting.

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    <p>(A to E) Livers were isolated before (0-hr) and after fasting (24- and 48-hr). (A) Glycogen storage in the liver of WT and DKO. n = 8/group (B) Representative PAS staining of the liver of the WT and DKO mice. Scale bar = 100 µm. (C and D) The indicated metabolites from the livers of WT and DKO mice after 48-hr fast were measured using metabolome analysis. n = 7/group. (E) The expression of genes involved in gluconeogenesis was determined using quantitative real-time PCR. (F) Estimated gluconeogenesis using the pyruvate challenge test. After 24 hour of fasting, pyruvate (2 gram/kg) was intraperitoneally injected. Blood was taken from the tail vein to measure the blood glucose levels at the indicated time points. n = 6/group. Data are shown as the mean ± SE. WT vs. DKO. ⋆p<0.05, ⋆⋆p<0.01, ⋆⋆⋆p<0.001.</p

    Blood glucose is decreased while serum levels of FFA and ketone bodies are markedly increased during prolonged fasting in DKO mice.

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    <p>Blood was collected from the vena cava inferior before (0-hr) and after fasting (24- and 48-hr) to measure blood glucose, NEFA, insulin, ketone bodies (BHB), triacylglycerol (TG) and cholesterol. n = 7−11/group. Blood was sampled from the retro-orbital plexus for plasma glucagon. n = 6/group. Data are shown as the mean ± SE. WT vs. DKO. ⋆p<0.05, ⋆⋆p<0.01, ⋆⋆⋆p<0.001.</p

    Working model of metabolic changes in DKO mice during fasting.

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    <p>(A) In WT mice, TG in adipose tissue is hydrolyzed during prolonged fasting, which releases NEFA into circulation. NEFA is taken up by various organs, including the heart, skeletal muscle and the liver as central energy substrates, which spares glucose consumption for glucose-dependent tissues, such as the brain and red blood cells. (B) However, in DKO mice, circulating NEFA cannot be efficiently taken up by the heart and skeletal muscle due to impaired FA transport via capillary ECs, which results in an increase in NEFA influx into the liver and FA accumulation in the liver. To compensate for the reduced uptake of NEFA, glucose uptake by the heart and red skeletal muscle is markedly enhanced independently of insulin even during fasting <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0079386#pone.0079386-Iso1" target="_blank">[14]</a>, which causes hypoglycemia. Although gluconeogenesis is conserved to supply glucose to peripheral tissues shortly after fasting, substrates for gluconeogenesis are reduced, resulting in insufficient gluconeogenesis during prolonged fasting, which further enhances hypoglycemia. FAO was enhanced during the fed state and a higher level of FAO was maintained even after prolonged fasting. Combined metabolic changes, including increased NEFA influx into the liver, enhanced FAO and lower blood glucose, accelerate ketogenesis. Please refer to the text and discussion for further details. Thick arrows indicate more flow; thin arrows indicate less flow; dotted arrow indicates impaired flow.</p

    VLDL secretion is reduced in DKO mice after fasting.

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    <p>(A) Serum levels of TG were measured at the indicated time points after an intravenous injection of triton WR 1339 (500 mg/kg). (B) The VLDL production rate (mg/kg/hour) was calculated from the TG concentration of (A). n = 5−8/group. (C) The expression of ApoB100 was determined using quantitative real-time PCR. n = 4/group. Data are shown as the mean ± SE.WT vs. DKO. ⋆p<0.05. (D) The expression of genes involved in FA synthesis was determined using quantitative real-time PCR.</p

    Primer for RT-PCR.

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    <p>RT PCR indicates Real Time Polymerase Chain Reaction; ACC, acetyl CoA aarboxylase; ACSL1, acyl-CoA synthetase long-chain family member 1; ApoB100, apolipoprotein B100; CPT, carnitinepalmitoyltransferase; FABP1, fatty acid binding protein 1; FAS, fatty acid synthase; FAT, fatty acid translocase; FATP2, fatty acid transport protein 2; FGF21, fibroblast growth factor 21; G6Pase, glucose-6-phosphatase; GAPDH, glyceraldehyde-3-phosphate dehydrogenase, HMGCL, 3-hydroxymethyl-3-methylglutaryl-CoA lyase; HMGCS2, 3-hydroxy-3-methylglutaryl-CoA synthase 2; PEPCK1, phosphoenolpyruvatecarboxykinase 1, PPARα, peroxisome proliferator-activated receptor α, SCD1, stearoyl-coA desaturase 1.</p

    accumulation is enhanced in DKO livers during prolonged fasting.

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    <p>(A to E) Livers were isolated before (0 hour) and after fasting (24- and 48-hr). (A) Representative gross appearance of the liver. (B) Oil red O staining. Scale bar = 100 µm. (C) Triglyceride content in the liver (mg/mg protein). (D) Body weight (BW), % reduction in BW after fasting, liver weight (LW), ratio of LW relative to BW (LW/BW, mg/g). n = 11/group. (E) The expression of genes involved in FA uptake was determined using quantitative real-time PCR. (F and G) Mice received intravenous injections of <sup>125</sup>I-BMIPP (5 kBq) and <sup>18</sup>F-FDG (100 kBq) via the lateral tail vein before (0-hr) and after fasting (24- and 48-hr). The animals were sacrificed at 2 hours after injection. Uptake of <sup>125</sup>I-BMIPP (F) and <sup>18</sup>F-FDG (G) by the liver was quantified using a well-type gamma counter (n = 4). (H) Hepatocytes were isolated from WT and DKO livers. Uptake of <sup>14</sup>C-palmitic acid (<sup>14</sup>C-PA) by hepatocytes was measured using a liquid scintillation counter. Note that uptake of <sup>14</sup>C-PA was comparable between WT and FABP4/5 DKO hepatocytes. In addition, the uptake was proportional to the loading dose of <sup>14</sup>C-PA. n = 6/group. Data are shown as the mean ± SE. WT vs. DKO. ⋆p<0.05, ⋆⋆p<0.01, ⋆⋆⋆p<0.001, ns =  not significant.</p
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