To observe the association between uroguanylin G-247A polymorphism and blood pressure/fluid and electrolytes homeostasis.Uroguanylin genotype was determined by restrictive fragment length polymorphism (RFLP) and blood pressure as well as fluid and electrolytes homeostasis were measured in 442 volunteers from Jing Ning County, ZheJiang Province. Data were analyzed by ANOVA, Generalized Estimating Equations (GEE), and Quantitative Transmission Disequilibrium Test (QTDT).Ten uroguanylin gene polymorphisms were detected in 40 subjects by direct sequencing, all were reported in the NCBI SNP database. We selected the G-247A polymorphism for genotyping. Compared with G allele carriers, AA homozygotes had a higher urinary volume (P = 0.08), higher excretions of sodium (P = 0.07) and potassium (P < 0.001), but similar systolic and diastolic blood pressure (P > 0.32) both before and after adjustment for sex, age, body-mass index, current smoking, alcohol intake, and antihypertensive treatment.The uroguanylin G-247A polymorphism was associated with urinary volume and sodium and potassium excretions.
Objective We investigated the ambulatory blood pressure (BP) in rural Chinese and compared its characteristics with those reported in other population-based studies. Methods We enrolled inhabitants from six villages of the JingNing County, China. We recorded the ambulatory BP using 90207 SpaceLabs monitors. Trained physicians measured the conventional BP at the participants' homes. Hypertension was defined as a conventional BP of ≥140/≥90 mmHg or a condition requiring the intake of antihypertensive drugs. Using MEDLINE, we searched for population-based studies on ambulatory BP monitoring. Results The 356 participants (12–86 years) included 192 (53.9%) women and 117 (32.9%) hypertensive patients. In all participants, systolic/diastolic BP averaged 129/80 mmHg at home. The ambulatory BP means were 121/77 mmHg over 24 h, 126/81 mmHg during daytime (0800 to 1800 h) and 112/70 mmHg during night-time (2200 to 0400 h). The awake and asleep BPs averaged 126/82 and 112/70 mmHg, respectively. Using previously published definitions of daytime (1000 to 2000 h) and night-time (midnight to 0600 h) instead of those given above, inflated the BP differences with the awake and asleep BPs from 0.4/0.2 to 1.2/1.0 mmHg and from 0.3/0 to 1.4/1.6 mmHg, respectively. Compared with daytime values, conventional BP was 2.7/3.1 mmHg lower in normotensive individuals, but 14.9/1.3 mmHg higher in hypertensive patients. In our normotensive individuals, the whole-day and night-time diastolic BPs were from 1 to 4 mmHg and from 3 to 7 mmHg higher than in five other population studies in Caucasians or Japanese, whereas night-time BP in our participants was 9/5 mmHg lower than in Chinese living in Taiwan. Conclusions We demonstrated significant differences in the characteristics of the ambulatory blood pressure across Asian and Caucasian populations. To what extent different activity patterns and genetic and environmental factors explain this context-dependency remains to be clarified.
We hypothesized that 1 minus the slope of diastolic on systolic pressure during 24-hour ambulatory monitoring (ambulatory arterial stiffness index [AASI]) might reflect arterial stiffness. We compared AASI with established measures of arterial stiffness and studied its distribution in Chinese and European populations. We used 90207 SpaceLabs monitors and the SphygmoCor device to measure AASI, central and peripheral pulse pressures, the central (CAIx) and peripheral (PAIx) systolic augmentation indexes, and aortic pulse wave velocity. In 166 volunteers, the correlation coefficient between AASI and pulse wave velocity was 0.51 ( P <0.0001). In 348 randomly recruited Chinese subjects, AASI correlated ( P <0.0001) with CAIx ( r =0.48), PAIx ( r =0.50), and central pulse pressure ( r =0.50). AASI increased with age and mean arterial pressure but decreased with body height. Both before and after adjustment for arterial wave reflections by considering height and heart rate as covariates, AASI correlated more ( P <0.0001) closely with CAIx and PAIx than 24-hour pulse pressure. Among normotensive subjects, the 95th percentile of AASI was 0.55 in Chinese and 0.57 in 1617 Europeans enrolled in the International Database on Ambulatory Blood Pressure Monitoring. The upper boundary of the 95% prediction interval of AASI in relation to age ranged from 0.53 at 20 years to 0.72 at 80 years. In conclusion, AASI is a new index of arterial stiffness that can be easily measured under ambulatory conditions. Pending additional validation in outcome studies, normal values of AASI are probably <0.50 and 0.70 in young and older subjects, respectively.
To assess a simple and non-invasive scoring system, osteoporosis self-assessment tool for Asians (OSTA) and quantitative ultrasound (QUS) measurement to identify Chinese postmenopausal women with non-vertebral fracture.Data came from 513 healthy women. Speed of sound (SOS) of the radius, phalanx and tibia was assessed using the instrument of Omniscience (Sunlight Ltd. Israel). Body height and weight were measured. Body mass index and OSTA were calculated. Self-reported fractures were identified using a structured questionnaire.SOS of radius was significantly lower in women with non-vertebral fracture than those without. SOS of phalanx was significantly lower in women with a history of postmenopausal non-vertebral fracture than those without. Using cut-offs of OSTA -4 and -1 to categorize osteoporosis risk, SOS of radius, phalanx and tibia decreased with increasing risk, while the prevalence of non-vertebral fracture increased. OSTA values of
Scoring a large number of candidates precisely in several milliseconds is vital for industrial pre-ranking systems. Existing pre-ranking systems primarily adopt the \textbf{two-tower} model since the ``user-item decoupling architecture'' paradigm is able to balance the \textit{efficiency} and \textit{effectiveness}. However, the cost of high efficiency is the neglect of the potential information interaction between user and item towers, hindering the prediction accuracy critically. In this paper, we show it is possible to design a two-tower model that emphasizes both information interactions and inference efficiency. The proposed model, IntTower (short for \textit{Interaction enhanced Two-Tower}), consists of Light-SE, FE-Block and CIR modules. Specifically, lightweight Light-SE module is used to identify the importance of different features and obtain refined feature representations in each tower. FE-Block module performs fine-grained and early feature interactions to capture the interactive signals between user and item towers explicitly and CIR module leverages a contrastive interaction regularization to further enhance the interactions implicitly. Experimental results on three public datasets show that IntTower outperforms the SOTA pre-ranking models significantly and even achieves comparable performance in comparison with the ranking models. Moreover, we further verify the effectiveness of IntTower on a large-scale advertisement pre-ranking system. The code of IntTower is publicly available\footnote{https://github.com/archersama/IntTower}
To investigate the association of peripheral and central blood pressure with the alpha-adducin Gly460Trp polymorphism in Chinese.We randomly selected 6 villages from JingNing County, ZheJiang Province. We invited nuclear families to take part in our study. We measured each participant's blood pressure at the non-dominant arm by means of a standard mercury sphygmomanometer at subjects' homes. Five consecutive readings were averaged for analysis. Central blood pressures were obtained by use of SphigmoCor pulse wave analysis system. The observers administered a standardized questionnaire to collect information on smoking habits, alcohol consumption and use of antihypertensive drugs. Venous blood was sampled and the adducin genotype was determined by restrictive fragment length polymorphism (RFLP).Four hundred and forty-two subjects included 230 (52.0%) women, and 116 (26.2%) hypertensive patients, of whom 49 (11.1%) took antihypertensive drugs. The frequencies of alpha -adducin GlyGly, GlyTrp and TrpTrp genotypes were 21.3%, 54.5% and 24.2%, respectively. There was no association between the alpha-adducin Gly460Trp polymorphism and peripheral systolic and diastolic blood pressure and pulse pressure. However, both before and after adjustment for sex, age, age(2), body-mass index, current smoking, alcohol intake, and antihypertensive treatment, the alpha-adducin polymorphism was significantly (P < 0.02) associated with central systolic blood pressure and central pulse pressure. After adjustment, central systolic blood pressure (+/- SE) averaged 122.5 +/- 3.5, 114.1 +/- 1.5 and 109.1 +/- 1.8 mm Hg (P = 0.01) in the GlyGly, GlyTrp and TrpTrp subjects, respectively. The corresponding values for central pulse pressure were 39.4 +/- 1.3, 36.4 +/- 1.0 and 32.9 +/- 0.9 mm Hg (P = 0.002), respectively.In the JingNing population, the adducin 460Trp allele was associated with lower levels of central systolic pressure and pulse pressure.
Blood pressure variability (BPV) has been shown to be related to mild cognitive impairment and Alzheimer's disease in a number of studies. However, the relationship between BPV and subtle cognitive decline (SCD) has received minimal attention in this field of research to date and has rarely been reported.To examine whether SCD is independently associated with changes in BPV in older adults.Participants were selected based on having participated in cognitive function evaluation and ambulatory blood pressure measurement at the Shanghai Sixth People's Hospital Affiliated with Shanghai Jiao Tong University School of Medicine between June 2020 and August 2022. The participants included 182 individuals with SCD as the experimental group and 237 with normal cognitive function as the control group. The basic data, laboratory examinations, scale tests, and ambulatory blood pressure test results of the two groups were analyzed retrospectively, and the relationship between SCD and BPV was subsequently evaluated.Significant differences were observed between the two groups of participants (P < 0.05) in terms of age, education level, prevalence rate of diabetes, fasting blood glucose level, 24-h systolic blood pressure standard deviation and coefficient of variation, 24-h diastolic blood pressure standard deviation and coefficient of variation. The scale monitoring results showed significant differences in the scores for memory, attention, and visual space between the experimental and control groups. Logistic regression analysis indicated that age, education level, blood sugar level, and BPV were factors influencing cognitive decline. Linear regression analysis showed that there was an independent correlation between blood pressure variation and SCD, even after adjusting for related factors. Each of the above differences was still significant.This study suggests that increased BPV is associated with SCD.