1.Antifungal susceptibility testing in vitro for pathogenic Fusarium sp
Yuxin WANG ; Suying GENG ; Zhiqun WANG
Chinese Journal of Laboratory Medicine 2001;0(04):-
Objective To study the susceptible drugs for Fusarium , and provide references for clinical treatment. Methods 40 F.solani and 6 F.moniliforme isolates were examined for the susceptibility to 7 antifungal drugs : AmB, ketoconazoie, miconazole, itraconazole, fluconazole , 5 Fc, and terbinafin by broth microdilution of M38 P recommended by NCCLS. Results 40 F.solani :MIC50 AmB 4 ?g/ml, ketoconazoie 16 ?g/ml, fluconazole 64 ?g/ml, itraconazole 16 ?g/ml, 5 Fc 64 ?g/ml, miconazole 16 ?g/ml, terbinafin 0.25 ?g/ml. MIC90: In addition to AmB and terbinafin , others antifungal agents were similar to MIC50, AmB 8 ?g/ml, terbinafin 4 ?g/ml. 6 F.moniliforme: except AmB and fluconazole were similar to MIC50 of 40 F.solani , others were lower than F.solani MIC50. Conclusion The MIC of terbinafin MIC is lower than that of others drugs, it could be used in the treatment of infections coused by Fusarium sp .
2.Mutations analysis in a pedigree with maternally inherited sensorineural hearing loss.
Chunhong XU ; Haijun ZHANG ; Yiju ZHANG ; Suying ZHAO ; Xuexia GENG ; Yunfeng SHAN ; Xiangnian SHAN
Chinese Journal of Medical Genetics 2005;22(2):125-128
OBJECTIVETo analyze the mutations in a pedigree with maternally inherited sensorineural hearing loss, and to investigate whether 235delC heterozygote mutation in gap junction protein beta 2 (GJB2) gene modulates the severity of hearing loss associated with the A1555G mitochondrial mutation.
METHODSThe PCR products were digested with the Alw26 I restriction enzyme, followed by direct sequencing to detect the mitochondrial mutations in 72 members of a core pedigree of an extensive family with matrilineal nonsyndromic deafness; 235delC mutation of the GJB2 gene was screened in this family by using the Apa I restriction enzyme and direct sequencing.
RESULTSThe A1555G mutation of the mitochondrial DNA was present in all 27 members of maternal line, out of them, 21 members had phenotype of deafness (77.8%), with a high penetrance. Only three maternal line members of 72 members possessed 235delC heterozygote mutations, and the three had different phenotypes.
CONCLUSIONThe A1555G homozygous mutation of mitochondrial DNA is the susceptive etiological factor of nonsyndromic deafness in this family, but in the study of this pedigree, the 235delC heterozygous mutation in GJB2 gene may not aggravate the symptoms of hearing loss associated with the A1555G mitochondrial mutation.
Base Sequence ; Connexin 26 ; Connexins ; genetics ; DNA Mutational Analysis ; DNA, Mitochondrial ; chemistry ; genetics ; Female ; Hearing Loss, Sensorineural ; genetics ; Heterozygote ; Humans ; Male ; Mutation ; Pedigree ; Polymerase Chain Reaction
3.Relationship between metabolic syndrome and 1-year prognosis of elderly patients with acute cerebral infarction
Yifan QIN ; Suying GAO ; Yongjun WANG ; Ruiye JI ; Lihua XU ; Xuan LIU ; Song GENG ; Hongtao WANG ; Shangmin QIN
Chinese Journal of Postgraduates of Medicine 2022;45(11):961-967
Objective:To investigate the relationship between metabolic syndrome and 1-year poor outcome in elderly patients with acute cerebral infarction (ACI).Methods:The clinical data of elderly patients with ACI admitted to Renqiu Kangjixintu Hospital from January 2014 to November 2018 were selected and divided into metabolic syndrome group (931 cases) and non-metabolic syndrome group (1 851 cases). The clinical data of the two groups of elderly patients with ACI were compared, and the effect of metabolic syndrome on poor outcome (modified Rankin scale>2 scores) of elderly patients with ACI in 1 year was analyzed by multivariate Logistic regression.Results:The proportion of female, hypertension, diabetes, hyperlipidemia, coronary heart disease, smoking, excessive alcohol consumption and antiplatelet drug use in the metabolic syndrome group were higher than those in the non-metabolic syndrome group: 52.74%(491/931) vs. 32.58%(603/1 851), 79.16%(737/931) vs. 64.29% (1 190/1 851), 42.32% (394/931) vs. 6.43% (119/1 851), 17.19% (160/931) vs. 11.62% (215/1 851), 18.90% (176/931) vs. 14.10% (261/1 851), 62.73% (584/931) vs. 50.89% (942/1 851), 3.73% (69/931) vs. 1.61% (15/1 851), 19.23% (179/931) vs. 15.51% (287/1 851), the levels of body mass index, systolic blood pressure, diastolic blood pressure, fasting plasma glucose (FPG), fasting plasma glucose (TG), total cholesterol (TC), platelet (PLT), fibrinogen (FIB), fall score were higher than those in non-metabolic syndrome group: 26.67 (25.31, 28.60) kg/m 2 vs. 23.30 (21.48, 24.91) kg/m 2, (167.17 ± 22.96) mmHg (1 mmHg = 0.133 kPa) vs. (164.21 ± 24.90) mmHg, (87.06 ± 13.10) mmHg vs. (85.76 ± 12.99) mmHg, (7.33 ± 2.64) mmol/L vs. (5.35 ± 1.38) mmol/L, (2.12 ± 1.51) mmol/L vs. (1.13 ± 0.78) mmol/L, (4.97 ± 1.31) mmol/L vs. (4.65 ± 0.99) mmol/L, 213.00 (179.00, 256.00) × 10 9/L vs. 203.00 (172.00, 241.00) × 10 9/L, 3.07 (2.63, 3.52) g/L vs. 2.94 (2.55, 3.37) g/L, (6.12 ± 1.70) scores vs. (5.93±1.74) scores, the levels of age, high density lipoprotein cholesterol (HDL-C), homocysteine (Hcy) and pressure ulcer score were lower than those of non-metabolic syndrome group: (69.29 ± 6.96) years vs. (71.28 ± 7.66) years, (0.98 ± 0.34) mmol/L vs. (1.31 ± 0.88) mmol/L, (18.93 ± 13.07) mmol/L vs. (21.66 ± 16.39) mmol/L, (18.55 ± 2.42) vs. (19.02 ± 2.43), with statistical significance ( P<0.05). After 1-year follow-up, the proportion of poor outcomes in the metabolic syndrome group was higher than that in the non-metabolic syndrome group: 21.70%(202/931) vs. 18.69% (346/1 851), with statistical significance ( P<0.05). Multivariate Logistic regression analysis showed that age, stroke, national institutes of health stroke scale (NIHSS) score at admission, systolic blood pressure, Hcy, pressure ulcer score, fall score, metabolic syndrome were independent risk factors for poor outcome of ACI in 1 year ( OR = 1.056, 1.309, 1.138, 1.005, 1.006, 0.882, 1.076 and 1.285; 95% CI 1.040 to 1.072, 1.037 to 1.652, 1.097 to 1.180, 1.000 to 1.010, 1.000 to 1.013, 0.834 to 0.933, 1.004 to 1.152 and 1.001 to 1.657; P<0.05). Conclusions:Multiple risk factors for stroke are closely related to poor outcome of ACI in the elderly. And metabolic syndrome is an independent risk factor for poor outcome of ACI in the elderly in 1 year.