Risk factors for intracerebral hemorrhage and coronary heart diseases over a 3-year period in patients admitted to some hospitals of Tongliao city of Nei Monggol Autonomous Region Retrospective analysis on case data

BACKGROUND： Intracerebral hemorrhage（ICH） and coronary heart disease （CHD） have the same pathological base, atherosclerosis, and the similar risk factors,such as smoking ,drinking, hypertension, hyperlipemia, diabetes mellitus, etc; but the distributions of two diseases are very different in the populations. This may be related to the exposure of risk factors and different effects of risk factors on two diseases. OBJECTIVE： To analyze the distribution difference of risk factors for ICH and CHD in the populations of Tongliao city of Nei Monggol Autonomous Region. DESIGN： Retrospective analysis. SETTING： School of Radiation Medicine and Public Health, Soochow University; Tongliao Hospital, Nei Monggol Autonomous Region. PARTICIPANTS： Random sampling was used to select 6 hospitals from 10 hospitals affiliated to Tongliao City of Nei Monggol Autonomous Region. Totally 1 672 medical records of patients with ICH and 2 195 medical records of patients with CHD admitted to Department of Neurology and Department of Cardiovascular Internal Medicine of above-mentioned 6 hospitals between January 2003 and December 2005 were collected according to the investigation need. METHODS： The subjects, whose medical records were involved, were performed retrospective analysis with pre-prepared questionnaire ＂Stroke and Coronary Heart Disease Epidemiologic Questionnaire＂. The main contents included： ①Social demography condition： The distributions of gender, age, nationality, etc. ②Previous history of disease： hypertension, diabetes mellitus, etc. ③Related risk factors： systolic blood pressure, diastolic blood pressure, total cholesterol, triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, smoking, drinking and glucose （GLU）. The database of Epidata was transformed to SPSS database. Single-and multiple-factor non-conditional Logistic regression analysis were performed on the data, and OR value and 95% CI were calculated. The distribution differences of risk factors for two diseases were compared. MAIN OUTCOME MEASURES： Single- and multi-factor non-conditional Logistic regression analysis results of each factor of patients. RESULTS： Single-factor non-conditional Logistic regression analysis showed that statistical significance existed in gender, age, nationality, smoking, drinking, history of hypertension, history of diabetes mellitus, hypertension, triglyceride （TG）, and GLU ten factors（OR =0.199, OR 95% CI 0.142-0.280 to OR =7.484, OR 95% CI 6.186-9.054, P 〈 0.01）. ②The results of multiple-factor non-conditional Logistic regression analysis showed 8 factors including age, gender, smoking, hypertension, history of hypertension, history of diabetes mellitus, GLU and TG（OR =0.203, OR 95% CI 0.114-0.361 to OR =8.262,OR 95% CI 5.466- 12.491, P 〈 0.01）. CONCLUSION： ICH and CHD are the diseases induced by various risk factors. Significant difference exists in gender, age, smoking, hypertension, history of hypertension, GLU, history of diabetes mellitus and TG.

C-176 loaded Ce DNase nanoparticles synergistically inhibit the cGAS-STING pathway for ischemic stroke treatment

The neuroinflammatory responses following ischemic stroke cause irreversible nerve cell death.Cell free-double strand DNA(dsDNA)segments from ischemic tissue debris are engulfed by microglia and sensed by their cyclic GMP-AMP synthase(cGAS),which triggers robust activation of the innate immune stimulator of interferon genes(STING)pathway and initiate the chronic inflammatory cascade.The decomposition of immunogenic dsDNA and inhibition of the innate immune STING are synergistic immunologic targets for ameliorating neuroinflammation.To combine the anti-inflammatory strategies of STING inhibition and dsDNA elimination,we constructed a DNase-mimetic artificial enzyme loaded with C-176.Nanoparticles are self-assembled by amphiphilic copolymers(P[CL35-b-(OEGMA20.7-co-NTAMA14.3)]),C-176,and Ce^(4+)which is coordinated with nitrilotriacetic acid(NTA)group to form corresponding catalytic structures.Our work developed a new nano-drug that balances the cGAS-STING axis to enhance the therapeutic impact of stroke by combining the DNase-memetic Ce^(4+)enzyme and STING inhibitor synergistically.In conclusion,it is a novel approach to modulating central nervus system(CNS)inflammatory signaling pathways and improving stroke prognosis.

All-fiber generation of arbitrary cylindrical vector beams on the first-order Poincare sphere

We propose a linear mapping relationship between the polarization of the fundamental mode and the cylindrical vector(CV)modes on the first-order Poincaresphere(FOPS)in fiber.The new method is based on the fourdimensional complex Jones matrices in terms of the linearly polarized mode bases.With our theoretical model,an all-fiber approach to generate arbitrary CV beams on the FOPS is proposed theoretically and verified experimentally.In the experiment,through the combination of a mode converter and a two-segment cascaded few-mode fiber with fixed stresses,it is possible to generate all CV modes on the FOPS by only adjusting the polarization of the fundamental mode.The Stokes parameters of the output light are measured to verify our scheme,which shows good agreement with the theoretical prediction.The method may provide a convenient way to generate CV beams and evolve the polarization states in any path on the FOPS,which is expected to have potential applications in encoding information and quantum computation.

Distributed curvature sensing based on a bending loss-resistant ring-core fiber

A theoretical and experimental study on curvature sensing using a Brillouin optical time-domain analyzer based on the ring-core fiber(RCF)is reported.The Brillouin gain spectrum of the RCF is investigated,and the Brillouin frequency shift(BFS)dependence on temperature and strain is calibrated.We theoretically analyze the fiber bending-induced BFS and peak Brillouin gain variation for the RCF through a numerical simulation method,and the RCF is revealed to have a high curvature sensitivity.Distributed curvature sensing is successfully demonstrated,with the bending radius ranging from 0.5 to 1.5 cm,corresponding to a BFS variation from 32.90 to7.81 MHz.The RCF takes advantage of great bending loss resistance,and the maximum macrobending loss at the extreme bending radius of 0.5 cm is less than 0.01 d B/turn.Besides,the peak Brillouin gain of the RCF is discovered to vary significantly in response to fiber bending,which is expected to be another parameter for distributed curvature determination.The results imply that the RCF is a promising candidate for highly sensitive distributed curvature measurement,especially in sharp bending circumstances.

Design, fabrication, and characterization of a highly nonlinear few-mode fiber

We present the design, fabrication, and characterization of a highly nonlinear few-mode fiber(HNL-FMF) with an intermodal nonlinear coefficient of 2.8 W · km-1, which to the best of our knowledge is the highest reported to date. The graded-index circular core fiber supports two mode groups(MGs) with six eigenmodes and is highly doped with germanium. This breaks the mode degeneracy within the higher-order MG, leading to different group velocities among corresponding eigenmodes. Thus, the HNL-FMF can support multiple intermodal four-wave mixing processes between the two MGs at the same time. In a proof-of-concept experiment, we demonstrate simultaneous intermodal wavelength conversions among three eigenmodes of the HNL-FMF over the C band.