1.Clinicopathologic analysis of pulmonary lymphangioleiomyomatosis.
Yu LÜ ; Song-Lin LIAO ; Xiao-Nai TANG ; Qiao YE ; Lei ZHANG ; Hong-Ying ZHAO
Chinese Journal of Pathology 2005;34(2):84-87
OBJECTIVETo investigate the clinicopathological features of pulmonary lymphangioleiomyomatosis (PLAM).
METHODSBy means of HE and immunohistochemistry (SP method) studies, the clinical and pathological features of 5 PLAM cases were analyzed and the related literature reviewed.
RESULTSPLAM was a rare lung disease of unknown etiology and was restricted to females who were generally pre-menopausal. Pathological features showed abnormal smooth muscle cells (LAM cells) line the airways, lymphatics and blood vesssels leading to airflow obstruction and replacement of the lung parenchyma by cysts. LAM cells were positive for HMB45. Clinically the disease was categorized by dyspnoea, haemoptysis, recurrent pneumothoraces and chylous effusions.
CONCLUSIONSPLAM should be considered when recurrent pneumothorax, haemoptysis and dyspnoea occur in females. Pathologic examination of lung tissue biopsy is required for confirmation of PLAM diagnosis.
Actins ; metabolism ; Adult ; Antigens, Neoplasm ; Biopsy ; Diagnosis, Differential ; Female ; Humans ; Immunohistochemistry ; Lung ; diagnostic imaging ; pathology ; Lung Neoplasms ; diagnostic imaging ; metabolism ; pathology ; Lymphangioleiomyomatosis ; diagnostic imaging ; metabolism ; pathology ; Matrix Metalloproteinase 2 ; metabolism ; Melanoma-Specific Antigens ; Middle Aged ; Neoplasm Proteins ; metabolism ; Tomography, X-Ray Computed
2.Relationship between MDR1 polymorphism and blood concentration of cyclosporine A.
Wei WANG ; Xiao-dong ZHANG ; De-lin GUAN ; Yue-ping LÜ ; Lin-lin MA ; Xiao-peng HU ; Peng ZHANG ; Yong WANG ; Xiao CHEN
Chinese Medical Journal 2005;118(24):2097-2100
Adolescent
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Adult
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Aged
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Cyclosporine
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blood
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Female
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Genes, MDR
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Genotype
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Humans
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Immunosuppressive Agents
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blood
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Kidney Transplantation
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Male
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Middle Aged
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Polymorphism, Genetic
3.High-level expression of phenylalanine ammonia-lyase in Lactococcus Lactis via synthesized sequence based on bias codons.
Xing CHEN ; Bin GAO ; Xing-Yuan JIA ; Chang SU ; Yue-Ping LÜ ; Zhan-Yong WANG ; Xin-Ping FAN ; Bai XIAO ; Jing-Zhong LIU
Chinese Journal of Biotechnology 2006;22(2):187-190
To construct a safer and more efficient gene engineering Lactococcus Lactis for expressing phenylalaine ammonia lyase (PAL) which will be benefit for PKU therapy, pal cDNA of Parsly and synthesized sequence based on Lactococcus Lactis bias codons were recombined into two Lactococcus Lactis NICE systems. The activities of the expressed PAL were detected, and the effect of Lactococcus Lactis bias codons on the expression of exterior protein was analyzed. The results showed that the expression level of PAL was increased by using Lactococcus Lactis bias codons in both Lactococcus Lactis NICE systems. Through which several safer andmore efficient strains of the gene engineering Lactococcus Lactis were obtained.
Cloning, Molecular
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Codon
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genetics
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Genetic Vectors
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genetics
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Lactococcus lactis
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genetics
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metabolism
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Phenylalanine Ammonia-Lyase
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biosynthesis
;
genetics
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Recombinant Proteins
;
biosynthesis
;
metabolism
;
Transformation, Bacterial
4.Automated identification and localization of inferior vena cava based on ultrasound images
Jinghan YANG ; Ziye CHEN ; Jingyuan SUN ; Wen CAO ; Chaoyang LÜ ; Shuo LI ; Mingqiu LI ; Pu ZHANG ; Jingzhou XU ; Chang ZHOU ; Yuxiang YANG ; Fu ZHANG ; Qingli LI ; Ruijun GUO ; Jiangang CHEN
Academic Journal of Naval Medical University 2024;45(9):1107-1112
Objective To explore the automated identification and diameter measurement methods for inferior vena cava (IVC) based on clinical ultrasound images of IVC. Methods An automated identification and localization method based on topology and automatic tracking algorithm was proposed. Tracking algorithm was used for identifying and continuously locating to improve the efficiency and accuracy of measurement. Tests were conducted on 18 sets of ultrasound data collected from 18 patients in intensive care unit (ICU),with clinicians' measurements as the gold standard. Results The recognition accuracy of the automated method was 94.44% (17/18),and the measurement error of IVC diameter was within the range of±1.96s (s was the standard deviation). The automated method could replace the manual method. Conclusion The proposed IVC automated identification and localization algorithm based on topology and automatic tracking algorithm has high recognition success rate and IVC diameter measurement accuracy. It can assist clinicians in identifying and locating IVC,so as to improve the accuracy of IVC measurement.