1.Long-term evaluation of functional recovery and nerve regeneration following tubulation repair of nerve defects in mice
Daguo MI ; Yanping ZHANG ; Tianwen GU ; Yahong ZHAO ; Wen HU
Acta Anatomica Sinica 2014;(5):599-604
Objective This study is to identify long-term functional recovery and maturity of regenerated nerve fibers after repairing mouse nerve defects with chitosan/polylactide-co-polyglycolide artificial nerve grafts ( CPANGs ) . Methods Mouse sciatic nerve defects, 2mm in length, were bridged by CPANGs (n=6), with nerve autograft (n=6) and nerve defect (n=6) as controls.Plantar test, electrophysiological examination and laser Doppler perfusion imaging following nerve crush were carried out at 1 year after repair to assess nerve function recovery , while muscle wet weight ratio, histological assessment and transmission electron microscopy were performed to evaluate nerve re -innervation and maturity of regenerated nerve fibers .Results When compared to the autograft group , the CPANG group did not show statistically significant difference in functional recovery in terms of paw withdrawal latency , neurogenic vasodilatation , amplitude and latency of compound muscle action potentials ( CMAPs ) , wet weight ratio of gastrocnemius and tibialis cranialis muscles , number of myelinated nerve fibers and density of unmyelinated axons .However , both these two repair groups exhibited significantly longer CMAPs latency , thinner myelin sheath and a lag-behind shift of diameter distribution of myelinated axons as compared to the normal control .Conclusion At 1 year after the mouse sciatic nerve defect was repaired by CPANGs , sensory and autonomic nerve function , number of regenerated axons and muscle re-innervation degree were recovered to the same extent as nerve autografting , but the regenerated nerve fibers were in a state of immaturity .
2. Analysis on clinical characteristics of 13 extremely severe burn patients complicated with severe inhalation injury in August 2nd Kunshan factory aluminum dust explosion accident
Shenglan LIU ; Xue SUN ; Hua XU ; Daguo ZHAO ; Xinjing YANG ; Jun JIN ; Jun WANG ; Jianhong FU ; Guanghua GUO ; Qiang GUO
Chinese Journal of Burns 2018;34(7):450-454
Objective:
To investigate the clinical characteristics of extremely severe burn patients complicated with severe inhalation injury caused by dust explosion.
Methods:
The medical records of 13 extremely severe burn patients complicated with severe inhalation injury in August 2nd Kunshan factory aluminum dust explosion accident, who were admitted to the First Affiliated Hospital of Soochow University on August 2nd, 2014, were retrospectively analyzed. The following indicators were collected: (1) Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) score and Sequential Organ Failure Assessment (SOFA) score at post admission hour (PAH) 24. (2) Prognosis, death time, causes of death, and the mortality of patients with different sexes. (3) The number of times of airway electronic bronchoscopy, airway characteristics, and the corresponding onset time. (4) The number and result of microorganism culture of lesion tissue during the leukoplakia formation stage. Detection of
3.Urine metabolomics analysis of patients with acute pancreatitis
Shenglan LIU ; Qiang GUO ; Xinjing YANG ; Xue SUN ; Daguo ZHAO ; Jun XU ; Weichang CHEN
Chinese Journal of Pancreatology 2017;17(6):380-385
Objective To detect the small molecular metabolite profiles of urine from patients with acute pancreatitis (AP) in different severity,and screen the differential metabolites that have potential diagnostic value for AP and its severity.Methods Urine samples were collected from 65 AP patients (MSAP and SAP 29,MAP 36) in the First Affiliated Hospital of Soochow University,and 25 healthy volunteers served as controls.The liquid chromatograph mass spectrometer (LC-MS) combined method was used to detect urine small molecule metabolites of AP patients and healthy controls.Multivariate statistical analysis was used to establish and validate the principal component analysis (PCA) model and partial least squares discriminate analysis (PLS-DA) model to select the differential metabolites.Results PCA model had a good degree of interpretation (R2X >0.5),and each group of urine samples showed a good distinction between clustering trends,and good classification models were obtained.In the PLS-DA model,the differences among groups were further highlighted,and samples of each group showed distinct differentiation between clusters,with high predictability (Q2 > 0.7).The model was reliable and effective indicated by the PLS-DA permutation test.17 differential metabolites were screened out by comparing AP with control.A diagnostic model constructed with 7 differential metabolites including nonanedioic acid,succinic acid semialdehyde,D-beta-hydroxy butyric acid,acetylcarnitine,angelic acid,sebacic acid and hippuric acid had a high diagnostic value for AP,with the sensitivity of 100% and the specificity of 94%.Then control,MAP and MSAP + SAP group were compared with each other,and it was found that the model integrating urine succinic acid semialdehyde,angelic acid,D (-)-beta-hydroxy butyric acid,malic acid and acetylcarnitine had a good diagnostic value for SAP,with the sensitivity and specificity of both 90%.Conclusions LC-MS metabolomics can effectively identify the changes of urine metabolism in patients with different severity of AP.The screened differential metabolites have the potential clinical value in the diagnosis and classification of AP.