Clinical data of 40 cases of advanced schistosomiasis complicated with liver cancer were analyzed in this paper.

Objective To investigate the expression of human β defensin-2(hβD-2)in the eutopic and ectopic endometrial tissue in patients with adenomyosis and in women with normal endometrium.Methods Twenty-five hysteromyoma patients with adenomyosis(AM) and 25 hysteromyoma patients without endometriosis (EMS) were selected and divided into three groups:AM ectopic endometrium group,AM eutopic endometrium group and control group( endometrial tissue in patients with hysteromyoma).The level of mRNA expressions of hβD-2,interleukin-1β ( IL-1β ),interleukin-6 ( IL-6 ) and tumor necrosis factor-α (TNF-α) was investigated quantitatively using Real Time PCR (RT-PCR) and the corresponding protein level was detected by immunohistochemistry.Results Comparing the expression of hβD-2,IL-1β,IL-6,TNF-α genes among the three groups,there was no significant difference between ectopic endometrium group and eutopic endometrium group and there was also no significant difference between eutopic endometrium group and the control group.( P ＞ 0.05 ).The expression of hβD-2 and IL-1β were 0.0320 (0.0095 ～ 0.0690 ) and 0.0427 ( 0.0038 ～ 0.0975 ) in the ectopic endometrium group,and they were 0.0034(0.0025 ～0.0424) and 0.0080(0.0040 ～0.0251 ) in the control group,respectively.They were both significantly higher in ectopic endometrium group than in the control group (P ＜ 0.05 ).In the ectopic endometrium group hβD-2 expression was positively correlated with the level of TNF-α ( r =0.857,P =0.014 ),and it had no correlation with both IL-1β and IL-6 ( r =0.750,P =0.052 ; r =0.464,P =0.464; respectively)Conclusion HβD-2 might not play an important role in the formation of adenomyosis.It may be related to no significant up-regulation of inflammatory factors in ectopic lesion tissue.

Objective To describe the chnical, neuroimagine, pathological and genetic features in a case with mitochondrial myopathy, encephalopathy, lactic acidosis and stroke-like episodes (MELAS)/Leigh overlap syndrome.Methods The ease was a 22-year-old woman with recurrent headache, loss of visual acuity and general seizures over 11 years.MRI demonstrated symmetrical high T2-weighted signals in occipital and parietal lobes, in the late stage of the disease, the above imagine changes on MRJ were also shown in the bilateral basal ganglion and brainstem.She died of status epilepticus at age of 22.Brain autopsy and mitochondrial DNA (mtDNA) analysis were performed in the patient.Results The main neuropathological findings were muhifocal and lamilar spongiform in the cortex of the whole brain, the basal ganglion and middle brain.Gliosis, macrophagie reaction and capillary endothelial proliferation were observed in these areas.All 6 layers of the cortex and subcortical white matter in occipital and parietal lobes were severely affected.GI3513A mutation was found in the gene of mitochondria encoded NADH dehydrogenase subunit 5 (MTNDS).Conclusions MELAS/Leigh overlap syndrome presents the symptoms predominantly affecting the cerebral cortex.Neuroimagines suggested that the lesion initially involves the cerebral cortex and in the late stage implicates the basal ganglion and the brainstem, possibly caused by pathological changes of spongiform with capillary proliferation in these areas.

OBJECTIVE To review the application and development of automatic intelligent drug cabinet in hospitals at home and abroad. METHODS The relevant research articles published from 2010 to 2022 were retrieved from CNKI, Wanfang, VIP, PubMed and other databases. RESULTS The application of automatic intelligent drug cabinet could shorten the execution time of inpatient medical orders, improve the work efficiency of pharmacists and doctors and nurses, improve the quality of drug management in wards and promote the transformation of hospital pharmaceutical care. CONCLUSION The construction of decentralized dispensing mode with automated intelligent drug cabinets as the core has important theoretical guiding significance and broad application prospects for the automation, informatization, intelligence and whole process management of drugs in medical institutions, and also helps to improve the level of medical pharmacy service management.