| Establishment of the models of obstructive chronic pancreatitis andinvestigate its CT featuresObjectivesTo establish the models of obstructive chronic pancreatitis in swine, investigate its CTfeatures in different phase, and explore the correlativity of dynamic enhanced CT featuresand pathological grade in different phases of chronic pancreatitis.Materials and Methods36female bama minipigs were divided into experimental group (n=24) and controlgroup (n=12) randomly. During one week of adaptive breeding,24-hours fasting and4-hour water deprivation preoperatively. Then, for the swines in experimental group, asurgery was performed to expose the pink-looking head of pancreas, then the mainpancreatic duct (MPD) was hold apart and ligated with3.0double-stranded polypropyleneline by3.0silk thread. At the same time, the pancreas was ligated at the same location toprevent pancreatic juice from draining through accessory pancreatic duct and collateralduct. When the polypropylene thread was dissolved, the main pancreatic duct was ligatedmore than75%. For the swines in control group, laparotomy was performed but withoutthe ligatation of MPD or the pancreas. All swines were fed a normal diet postoperatively.At the4th,8thand12thweek, the blood, urine and pancreatic dialysate samples werecollected in12swines (experimental group: n=8, control group: n=4) each time, whichwere choosen randomly. Then after had underwent a dynamic CT scans, all swines weresacrificed to get the pathology samples for the ditection of metabolites. Based on thedifferent degrees of pancreatic acinar atrophy, inflammatory cell infiltration and fibrosis,CP was divided into four phases: phase0(normal), phase Ⅰ (mild), phaseⅡ (moderate),phase Ⅲ(severe).Results3swine died of infection (n=2) and anesthetic accident (n=1),33swines(experimental group: n=21, control group: n=12) survived. Different digrees of CP model were established in19out of24(79.2%)swines successfully. All33surviving swineshave undergone CT scans. Phase0(control group:n=12, experimental group: n=2):noabnormalities of the shape, density and enhancement pattern of the pancreas was found.Phase I (n=8): CT scans showed on abnormal changes of the pancreas in6swines,moderate enlargment of the pancreas (n=2), hypodensity of the pancreas parenchyma (n=2),MPD was not seen (n=5), MPD less than1mm (n=3). Phase II (n=4): pancreatic atrophyand with a rough and coarse edge, unevenly enhanced, tiny dots and small patchy lowdensity shadows could be spotted in enhancement phases in3swines. MPD dilation(3mm,n=2;2mm, n=2;1mm, n=1). Phase III (n=7): pancreatic atrophy with rough edge(n=7). feather-like pancreas parenchyma as low density and hypodensity in enhancementphases (n=5).ConclusionsIncomplete ligation of MPD had a high successful rate in establishing CP models inswine. Correlation was demonstrated between the obstructive time length and the fibrosis.Because the CT features of the swine pancreas are simmiliar with that of human, the swineCP model could be helpful to for studying the radiological features of CP in human as asuitable platform. Study on Metabolic Characteristics Of Chronic PancreatitisIn Swine By Using Magic-angle Spinning1H Nuclear MagneticResonance SpectroscopyObjectivesTo study the metabolic characteristics by using high-resolution magic-angle spinningnuclear magnetic resonance (HR-MAS NMR) on obstructive chronic pancreatitis model inswine and investigate the metabolic variation in different development stages of chronicpancreatitis.Materials and MethodsPancreatic tissues were obtain from chronic pancreatitis model in swines and weredivided into phase Ⅰ(mild), phase Ⅱ(moderate), phase Ⅲ(severe) based on the differentdegrees of pancreatic acinar atrophy, inflammatory cell infiltration and fibrosis. Afterbeing sinsed by heavy water, the pancreatic tissues were detected by using cpmgprld pulsesequences of Bruker600MHz NMR spectrometer. The metabolic characteristics and thepeak intensity were compared between the normal pancreas and the pancreas of phaseⅡa nd Ⅲchonic pancreatitis, investigate the relationship between the variation of certaincharacteristic metabolities and the pathophysiological changes. On the basis of1H-MRSpectral Simulation analysis, one-dimensional1H spectral datas measured by the CPMGsuppression were used to analyze the characteristics of normal pancreatic tissue with CPmetabolic variable model by principal component analysis (PCA). Topspin3.0softwareprogram was used for the data phase baseline correction, the dimensionality reduction andsimplification of the map. After that, AMIX packaged software was used for the simplifieddata PCA processing and obtain the the corresponding score maps and loads figures. Theobtained phaseⅡ phaseⅢ pancreatic tissues (n=11) and the normal pancreas (n=12) weretaken as the experimental group and control group,respectively. the concentration data ofthe pancreatic metabolites of the experimental and control group were analyzed bySPSS17.0software package for LSD-t test.Results33swines (experimental group: n=21, control group: n=12) survived,3swines died ofinfection (n=2) and anesthetic accident (n=1). Different digrees of CP model wereestablished in19out of24(79.2%)swines successfully. Based on the different degrees ofpancreatic acinar atrophy, inflammatory cell infiltration and fibrosis,21CP pathological samples were divided into four phases: phase0(n=2), phaseⅠ (n=8), phase Ⅱ(n=4),phase Ⅲ (n=7).Compared with normal swine pancreatic tissue, Lactate(δ=1.34，4.06)、N-acetylglycoprotein(δ=2.06)、 Acetoacetate (δ=2.22) elevated(P<0.05) andValine(δ=1.02)、Alanine(δ=1.46)、Leucine(δ=1.70)、Acetate(δ=1.94)、Pyruvate(δ=2.34)、Aspartate(δ=2.62)、 Glutamate(δ=2.42)、 Creatine(δ=3.10)、 Choline(δ=3.22)、Betaine(δ=3.26)、Taurine(δ=3.38)、Glycerol(δ=3.66)、Tyrosine(δ=3.98，6.90，7.18)、β-Glucose(δ=4.62)、 Uridine(δ=5.78)、 Cytidine(δ=6.06)、 Phenylalanine(δ=7.34,7.42)decreased(P<0.05) were found in the pathologically confirmed stage II and III chronicpancreatitis tissue.ConclusionsThere was significant statistical difference as compared with the MRS data of thepancreatitis and normal pancreas. HR-MASNMR can tell the differences sensitively andhave a good correlation with the pathological results. The peak intensity of lactic acid,acetoacetate and N-acetylglycoprotein increased significantly, in contrast, the peakintensity of other metabolities showed a slight decrease. |
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