AIM: To explore correlation,consistency and comfort between traditional tear film examination methods and Oculus Keratograph.METHODS: A retrospective study.Totally 101 cases (101 eyes) were diagnosed myopia and then accepted LASEK (laser epithelial keratomileusis).Non-invasive tear film break-up time(NIBUT),lower tear meniscus height(LTMH) were measured with Oculus Keratograph,fluorescein tear film break-up time(fl-BUT) and Schimer Ⅰ test (SⅠt) were performed on all cases.The correlations analysis between NIBUT and fl-BUT,LTMH and SⅠt were performed by Spearman rank correlation,consistency check between NIBUT and fl-BUT by Bland-Altman analysis.Visual analogue scale(VAS) was applied on evaluating the comfort of two kinds of examination methods.RESULTS: LTMH and SⅠt showed positive correlation (rs=0.346,P=0.001).NIBUT and fl-BUT showed positive correlation (rs=0.393,P=0.001),95% consistency limits range-9.62 to 14.18 in Bland-Altman Figure.There was significant difference between VAS of NIBUT and VAS of fl-BUT(z=-2.324,P=0.020).There was significant difference between VAS of LTMH and VAS of SⅠt (z=-8.845,P=0.001).CONCLUSION: Oculus Keratograph can objectively measure NIBUT and LTMH,and was more comfortable than traditional tear film examination methods.It can effectively assess tear film function before corneal refractive surgery.

BACKGROUNDRecently, due to the rapid development of proteomic techniques, great advance has been made in many scientific fields. We aimed to use magnetic beads (liquid chip) based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) technology to screen distinctive biomarkers for lung adenocarcinoma (adCA), and to establish the diagnostic protein profiles.

METHODSUsing weak cation exchange magnetic beads (MB-WCX) to isolate and purify low molecular weight proteins from sera of 35 lung adCA, 46 benign lung diseases (BLDs) and 44 healthy individuals. The resulting spectra gained by anchor chip-MALDI-TOF-MS were analyzed by ClinProTools and a pattern recognition genetic algorithm (GA).

RESULTSIn the working mass range of 800 - 10 000 Da, 99 distinctive peaks were resolved in lung adCA versus BLDs, while 101 peaks were resolved in lung adCA versus healthy persons. The profile gained by GA that could distinguish adCA from BLDs was comprised of 4053.88, 4209.57 and 3883.33 Da with sensitivity of 80%, specificity of 93%, while that could separate adCA from healthy control was comprised of 2951.83 Da and 4209.73 Da with sensitivity of 94%, specificity of 95%. The sensitivity provided by carcinoembryonic antigen (CEA) in this experiment was significantly lower than our discriminatory profiles (P < 0.005). We further identified a eukaryotic peptide chain release factor GTP-binding subunit (eRF3b) (4209 Da) and a complement C3f (1865 Da) that may serve as candidate biomarkers for lung adCA.

CONCLUSIONMagnetic beads based MALDI-TOF-MS technology can rapidly and effectively screen distinctive proteins/polypeptides from sera of lung adCA patients and controls, which has potential value for establishing a new diagnostic method for lung adCA.

Adenocarcinoma ; blood ; diagnosis ; Adult ; Aged ; Female ; Humans ; Lung Neoplasms ; blood ; diagnosis ; Magnetics ; Male ; Microspheres ; Middle Aged ; Sensitivity and Specificity ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization ; methods

BACKGROUNDIn recent years the proportion of lung adenocarcinoma (adCA) which occurs in lung cancer patients has increased. Using laser capture microdissection (LCM) combined with liquid chip-mass spectrometry technology, we aimed to screen lung cancer biomarkers by studying the proteins in the tissues of adCA.

METHODSWe used LCM and magnetic bead based weak cation exchange (MB-WCX) to separate and purify the homogeneous adCA cells and normal cells from six cases of fresh adCA and matched normal lung tissues. The proteins were analyzed and identified by matrix assisted laser desorption/ionization time-of-fight mass spectrometry (MALDI-OF-MS). We screened for the best pattern using a radial basic function neural network algorithm.

RESULTSAbout 2.895 × 10(6) and 1.584 × 10(6) cells were satisfactorily obtained by LCM from six cases of fresh lung adCA and matched normal lung tissues, respectively. The homogeneities of cell population were estimated to be over 95% as determined by microscopic visualization. Comparing the differentially expressed proteins between the lung adCA and the matched normal lung group, 221 and 239 protein peaks, respectively, were found in the mass-to-charge ration (M/Z) between 800 Da and 10 000 Da. According to t test, the expression of two protein peaks at 7521.5 M/Z and 5079.3 M/Z had the largest difference between tissues. They were more weakly expressed in the lung adCA compared to the matched normal group. The two protein peaks could accurately separate the lung adCA from the matched normal lung group by the sample distribution chart. A discriminatory pattern which can separate the lung adCA from the matched normal lung tissue consisting of three proteins at 3358.1 M/Z, 5079.3 M/Z and 7521.5 M/Z was established by a radial basic function neural network algorithm with a sensitivity of 100% and a specificity of 100%.

CONCLUSIONSDifferential proteins in lung adCA were screened using LCM combined with liquid chip-mass spectrometry technology, and a biomarker model was established. It is possible that this technology is going to become a powerful tool in screening and early diagnosis of lung adCA.

Adenocarcinoma ; metabolism ; Aged ; Female ; Humans ; In Vitro Techniques ; Lung Neoplasms ; metabolism ; Male ; Microdissection ; methods ; Middle Aged ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization ; methods

OBJECTIVETo investigate the epidemiological characteristics of measles cases of new genotype D8 in Beijing from January to June, 2013.

METHODSEpidemiological survey and descriptive analysis was conducted.

RESULTS661 suspected measles were reported from January to June, 2013. 416 were confirmed measles cases by serology and etiology detection. 28 measles cases were caused by genotype D8 measles virus by genotype identification. There were 2 measles outbreak including 14 cases and 14 sporadic cases. The incidence peak was during April and May. 25 cases (89.3%, 25/28) occurred in downtown and suburban districts. 22 cases (78.5%, 22/28) were adults aged 15-39 years and 19 cases (67.9%, 19/28) were migrant population. 12 cases (85.7%, 12/14) in outbreak were migrant population working in clothing sales. There was epidemiological association between 2 outbreaks.

CONCLUSIONMeasles cases of genotype D8 were found for the first time in Beijing. Genotype D8 virus mainly infected migrant adults and caused local outbreak and endemic.

Adolescent ; Adult ; China ; epidemiology ; Disease Outbreaks ; Female ; Genotype ; Humans ; Incidence ; Male ; Measles ; epidemiology ; virology ; Measles virus ; genetics