Temporal-Spatial Correlation Attention Network for Clinical Data Analysis in Intensive Care Unit

Recent advancements in medical information technology have enabled electronic health records (EHRs) to store comprehensive clinical data which has ushered healthcare into the era of "big data". However, medical data are rather complicated, making problem-solving in healthcare be limited in scope and comprehensiveness. The rapid development of deep learning in recent years has opened up opportunities for leveraging big data in healthcare. In this article we introduce a temporal-spatial correlation attention network (TSCAN) to address various clinical characteristic prediction problems, including mortality prediction, length of stay prediction, physiologic decline detection, and phenotype classification. Leveraging the attention mechanism model's design, our approach efficiently identifies relevant items in clinical data and temporally correlated nodes based on specific tasks, resulting in improved prediction accuracy. Additionally, our method identifies crucial clinical indicators associated with significant outcomes, which can inform and enhance treatment options. Our experiments utilize data from the publicly accessible Medical Information Mart for Intensive Care (MIMIC-IV) database. Finally, our approach demonstrates notable performance improvements of 2.0% (metric) compared to other SOTA prediction methods. Specifically, we achieved an impressive 90.7% mortality rate prediction accuracy and 45.1% accuracy in length of stay prediction.

Efficacy and safety of bicyclol for treating patients with antituberculosis drug-induced liver injury

BACKGROUND: Bicyclol was used for treating idiosyncratic acute drug-induced liver injury (DILI) in a phase II trial. This study was aimed at evaluating the efficacy and safety of bicyclol 25 and 50 mg thrice a day (TID) for treating acute DILI caused by anti-TB drugs in the light of the trial results.METHODS: We analysed clinical data of patients with TB drug-induced DILI in the trial database. The primary endpoint was reduction in serum alanine aminotransferase (ALT) levels after 4 weeks of treatment compared to baseline.RESULTS: Overall, 148 patients were included, with respectively 48, 52 and 48 patients included in the control (456 mg polyene phosphatidylcholine TID), high-dose (50 mg bicyclol TID) and low-dose (25 mg bicyclol TID) groups. ALT levels decreased by respectively â-"149.0 (IQR â-"299.3 to â-"98.3 (), â-"225.5 (IQR â-"309.3 to â-"181.8 ) and â-"242.5 (IQR â-"364.8 to â-"153.8) U/L in the control, high-dose and low-dose groups (P < 0.001). The ALT normalisation rates at weeks 1, 2, 4, 6 and 8 were higher in the high- and low-dose groups, while adverse events and serious adverse events were similar across groups.CONCLUSIONS: Bicyclol (25 and 50 mg TID) is effective and safe in treating anti-TB DILI, and bicyclol 50 mg TID showed higher efficacy.

Deep reinforcement learning framework for thoracic diseases classification via prior knowledge guidance

The chest X-ray is commonly employed in the diagnosis of thoracic diseases. Over the years, numerous approaches have been proposed to address the issue of automatic diagnosis based on chest X-rays. However, the limited availability of labeled data for related diseases remains a significant challenge in achieving accurate diagnoses. This paper focuses on the diagnostic problem of thorax diseases and presents a novel deep reinforcement learning framework. This framework incorporates prior knowledge to guide the learning process of diagnostic agents, and the model parameters can be continually updated as more data becomes available, mimicking a person's learning process. Specifically, our approach offers two key contributions: (1) prior knowledge can be acquired from pre-trained models using old data or similar data from other domains, effectively reducing the dependence on target domain data; and (2) the reinforcement learning framework enables the diagnostic agent to be as exploratory as a human, leading to improved diagnostic accuracy through continuous exploration. Moreover, this method effectively addresses the challenge of learning models with limited data, enhancing the model's generalization capability. We evaluate the performance of our approach using the well-known NIH ChestX-ray 14 and CheXpert datasets, and achieve competitive results. More importantly, in clinical application, we make considerable progress. The source code for our approach can be accessed at the following URL: https://github.com/NeaseZ/MARL.

Prevalence and influencing factors of anaemia among pregnant women in rural areas of Northwestern China

OBJECTIVES

Anaemia during pregnancy is a significant public health problem that adversely impacts both the mother and foetus. However, the factors influencing maternal anaemia in deprived areas of Northwestern China have not yet been thoroughly investigated. This study aimed to describe the prevalence and potential influencing factors of anaemia among expectant mothers in rural areas of Northwestern China.

STUDY DESIGN

This was a cross-sectional survey.

METHODS

A cross-sectional survey of 586 expectant mothers was conducted to investigate the prevalence of anaemia, prenatal healthcare coverage, dietary diversity and nutrient supplementation intake. The study population was selected from the sample areas using a random sampling method. Data were collected through a questionnaire, and haemoglobin concentrations were measured by a capillary blood test.

RESULTS

The results show that 34.8% of the study population were anaemic, with 13% having moderate-to-severe anaemia. The results of the regression analysis showed that diet was not significantly associated with haemoglobin concentrations or the prevalence of anaemia. However, regular prenatal healthcare attendance was found to be an important influencing factor for both haemoglobin concentration (β = 3.67, P = 0.002) and the prevalence of anaemia (odds ratio = 0.59, P = 0.011).

CONCLUSIONS

Pregnant women receiving regular prenatal care were less likely to be anaemic; thus, it is essential to implement strategies to improve attendance at maternal public health services to reduce the prevalence of maternal anaemia.

Determination and prediction of standardized ileal amino acid digestibility of wheat in broilers

This experiment evaluated the standard ileal digestibility (SID) of amino acids (AA) in 8 different sources of wheat fed to broilers and established prediction equations based on the chemical properties of wheat. A total of five hundred forty 1-day-old broilers were tested in 2 stages (from d 10 to 13 and from d 25 to 28). On d 13, 324 broilers were randomly assigned to 9 diets (6 replicate cages, 6 broilers per cage); on d 28, 216 broilers were randomly assigned to 9 diets (6 replicate cages, 4 broilers per cage). The 9 experimental diets included 8 test diets and 1 nitrogen-free diet. Titanium dioxide was added as an exogenous indicator at 0.5% of the diet. In 8 wheat samples, the mean values of total amino acids (TAA), dispensable amino acids (DAA), and indispensable amino acids (IAA) were 12.16% (CV 13.70%), 7.97% (CV 15.49%), and 4.20% (CV 11.47%). On d 13, the lowest SID of AA was Lys (86.71%), and the highest was Pro (97.98%). On d 28, the lowest SID of AA was His (81.31%), and the highest was Pro (96.83%). There was an effect of wheat source on the SID of AA except for Trp (P < 0.05); the broiler age had an effect on the SID of AA except for Tyr (P < 0.05); the SID of most AA were higher at d 13 compared to d 28. At d 13, the SID of AA was correlated with CP, NDF, and ST (P < 0.05). At d 28, the SID of AA was correlated with EE, Ash, ADF, and NDF (P < 0.05). The R2 value of stepwise regression equations to predict the SID of AA at d 13 was highest for Leu (R2 = 0.972), lowest for Asp (R2 = 0.785); at d 28 was highest for Gly (R2 = 0.995), lowest for His (R2 = 0.678). In conclusion, this experiment showed that the chemical properties of wheat can be used to establish accurate equations for predicting the SID of AA. This made it more efficient to obtain the SID of AA for wheat.

HMNet: Hierarchical Multi-Scale Brain Tumor Segmentation Network

An accurate and efficient automatic brain tumor segmentation algorithm is important for clinical practice. In recent years, there has been much interest in automatic segmentation algorithms that use convolutional neural networks. In this paper, we propose a novel hierarchical multi-scale segmentation network (HMNet), which contains a high-resolution branch and parallel multi-resolution branches. The high-resolution branch can keep track of the brain tumor's spatial details, and the multi-resolution feature exchange and fusion allow the network's receptive fields to adapt to brain tumors of different shapes and sizes. In particular, to overcome the large computational overhead caused by expensive 3D convolution, we propose a lightweight conditional channel weighting block to reduce GPU memory and improve the efficiency of HMNet. We also propose a lightweight multi-resolution feature fusion (LMRF) module to further reduce model complexity and reduce the redundancy of the feature maps. We run tests on the BraTS 2020 dataset to determine how well the proposed network would work. The dice similarity coefficients of HMNet for ET, WT, and TC are 0.781, 0.901, and 0.823, respectively. Many comparative experiments on the BraTS 2020 dataset and other two datasets show that our proposed HMNet has achieved satisfactory performance compared with the SOTA approaches.

Toward Region-Aware Attention Learning for Scene Graph Generation

Scene graph generation (SGGen) is a challenging task due to a complex visual context of an image. Intuitively, the human visual system can volitionally focus on attended regions by salient stimuli associated with visual cues. For example, to infer the relationship between man and horse, the interaction between human leg and horseback can provide strong visual evidence to predict the predicate ride. Besides, the attended region face can also help to determine the object man. Till now, most of the existing works studied the SGGen by extracting coarse-grained bounding box features while understanding fine-grained visual regions received limited attention. To mitigate the drawback, this article proposes a region-aware attention learning method. The key idea is to explicitly construct the attention space to explore salient regions with the object and predicate inferences. First, we extract a set of regions in an image with the standard detection pipeline. Each region regresses to an object. Second, we propose the object-wise attention graph neural network (GNN), which incorporates attention modules into the graph structure to discover attended regions for object inference. Third, we build the predicate-wise co-attention GNN to jointly highlight subject's and object's attended regions for predicate inference. Particularly, each subject-object pair is connected with one of the latent predicates to construct one triplet. The proposed intra-triplet and inter-triplet learning mechanism can help discover the pair-wise attended regions to infer predicates. Extensive experiments on two popular benchmarks demonstrate the superiority of the proposed method. Additional ablation studies and visualization further validate its effectiveness.

Correlation between primary family caregiver identity and maternal depression risk in poor rural China

INTRODUCTION

Prenatal and postpartum depression are important public health challenges because of their long-term adverse impacts on maternal and neonatal health. This study investigated the risk of maternal depression among pregnant and postpartum women in poor rural China, along with the correlation between primary family caregiver identity and maternal depression risk.

METHODS

Pregnant women and new mothers were randomly selected from poor rural villages in the Qinba Mountains area in Shaanxi. Basic demographic information was collected regarding the women and their primary family caregivers. The Edinburgh Postnatal Depression Scale was used to identify women at risk of depression, and the Perceived Social Support Scale was used to evaluate perceived family support.

RESULTS

This study included 220 pregnant women and 473 new mothers. The mean proportions of women at risk of prenatal and postpartum depression were 19.5% and 18.6%, respectively. Regression analysis showed that identification of the baby's grandmother as the primary family caregiver was negatively correlated with maternal depression risk (β=-0.979, 95% confidence interval [CI]=-1.946 to -0.012, P=0.047). However, the husband's involvement in that role was not significantly correlated with maternal depression risk (β=-0.499, 95% CI=-1.579 to 0.581, P=0.363). Identification of the baby's grandmother as the primary family caregiver was positively correlated with family support score (β=0.967, 95% CI=-0.062 to 1.996, P=0.065).

CONCLUSION

Prenatal and postpartum depression are prevalent in poor rural China. The involvement of the baby's grandmother as the primary family caregiver may reduce maternal depression risk, but the husband's involvement in that role has no effect.

Association between household debt and depressive mood among Chinese residents

OBJECTIVES

The aim of this study was to examine the association of household debt and depressive mood among Chinese adults and to evaluate whether the association varies across types of debt.

STUDY DESIGN

This is a secondary data analysis of a nationally representative survey.

METHODS

A prospective cohort study of participants was drawn from the China Family Panel Studies (CFPS). In total, 5135 participants had their depressive mood measured in the CFPS starting from 2014 to 2016 and had participated in the biennial survey. We used logistic regression models to identify predictors of depressive mood with debts, sociodemographic factors, health status factors and health behaviors factors. Adjusted for all measured covariates, we conducted an independent analysis for the experience of housing loans from formal institutions (HLFI), other loans from formal institutions (OLFI), housing loans from relatives and friends (HLRF) and other loans from relatives and friends (OLRF).

RESULTS

Multiple logistic regression analyses revealed that household debt was a significant risk factor for depressive mood (1.35; 95% confidence interval [CI], 1.19-1.54), after controlling for potential confounders. Independent analysis revealed that HLFI was not a significant predictor, while HLRF (1.26; 95% CI, 1.08-1.48), OLFI (1.45; 95% CI, 1.13-1.87) and OLRF (1.23; 95% CI, 1.02-1.47) remained significant risk factors.

CONCLUSION

OLFI, HLRF and OLRF were associated with depressive mood, while HLFI was not. To address the problem of individual depressive mood, its apparent association with household debt should be paid more attention.

DAN: Deep-Attention Network for 3D Shape Recognition

Due to the wide applications in a rapidly increasing number of different fields, 3D shape recognition has become a hot topic in the computer vision field. Many approaches have been proposed in recent years. However, there remain huge challenges in two aspects: exploring the effective representation of 3D shapes and reducing the redundant complexity of 3D shapes. In this paper, we propose a novel deep-attention network (DAN) for 3D shape representation based on multiview information. More specifically, we introduce the attention mechanism to construct a deep multiattention network that has advantages in two aspects: 1) information selection, in which DAN utilizes the self-attention mechanism to update the feature vector of each view, effectively reducing the redundant information, and 2) information fusion, in which DAN applies attention mechanism that can save more effective information by considering the correlations among views. Meanwhile, deep network structure can fully consider the correlations to continuously fuse effective information. To validate the effectiveness of our proposed method, we conduct experiments on the public 3D shape datasets: ModelNet40, ModelNet10, and ShapeNetCore55. Experimental results and comparison with state-of-the-art methods demonstrate the superiority of our proposed method. Code is released on https://github.com/RiDang/DANN.

Size-dependent influence of NOx on the growth rates of organic aerosol particles

Atmospheric new-particle formation (NPF) affects climate by contributing to a large fraction of the cloud condensation nuclei (CCN). Highly oxygenated organic molecules (HOMs) drive the early particle growth and therefore substantially influence the survival of newly formed particles to CCN. Nitrogen oxide (NOx) is known to suppress the NPF driven by HOMs, but the underlying mechanism remains largely unclear. Here, we examine the response of particle growth to the changes of HOM formation caused by NOx. We show that NOx suppresses particle growth in general, but the suppression is rather nonuniform and size dependent, which can be quantitatively explained by the shifted HOM volatility after adding NOx. By illustrating how NOx affects the early growth of new particles, a critical step of CCN formation, our results help provide a refined assessment of the potential climatic effects caused by the diverse changes of NOx level in forest regions around the globe.

Vacuum Sealing Drainage Therapy for Refractory Infectious Wound on 16 Renal Transplant Recipients

BACKGROUND

Refractory infectious wounds on renal transplantation (RT) recipients significantly prolong hospital stay, increase medical costs, and threaten allograft survival. Vacuum sealing drainage (VSD) therapy is a new technique for managing wounds based on the principle of application of controlled negative pressure. The aim of this study was to summarize the efficacy and safety of VSD therapy in the management of refractory infectious wounds following RT.

MATERIALS AND METHODS

This is a retrospective study of a cohort of 661 consecutive patients who received renal transplants over a period of 3 years in which the data were collected and analyzed retrospectively.

RESULTS

Out of the 661 patients, 16 (2.4%) developed refractory wound infection following RT. Nineteen organisms were identified by culture from all patients, including 10 patients infected with 1 or more bacteria, 2 patients with fungal infection, and 4 patients with both. Specifically, mucormycosis was demonstrated in 4 patients, pan-resistant Klebsiella pneumoniae in 2 patients, and Acinetobacter baumannii in 2 patients. All 16 patients were treated with VSD therapy for a median of 37 days (range, 6-111 days). The number of VSD sets used ranged from 4 to 28 sets (mean, 11.1 sets). A combination of antibiotics, debridement, and VSD therapy lead to 100% (16 of 16) wound healing. No VSD-relevant adverse events were observed.

CONCLUSIONS

VSD therapy is an effective and safe adjunct to conventional treatment modalities for the management of refractory wound infection following RT.

Scaling law for excitons in 2D perovskite quantum wells

Ruddlesden–Popper halide perovskites are 2D solution-processed quantum wells with a general formula A₂A’_n-1M_nX_3n+1, where optoelectronic properties can be tuned by varying the perovskite layer thickness (n-value), and have recently emerged as efficient semiconductors with technologically relevant stability. However, fundamental questions concerning the nature of optical resonances (excitons or free carriers) and the exciton reduced mass, and their scaling with quantum well thickness, which are critical for designing efficient optoelectronic devices, remain unresolved. Here, using optical spectroscopy and 60-Tesla magneto-absorption supported by modeling, we unambiguously demonstrate that the optical resonances arise from tightly bound excitons with both exciton reduced masses and binding energies decreasing, respectively, from 0.221 m₀ to 0.186 m₀ and from 470 meV to 125 meV with increasing thickness from n equals 1 to 5. Based on this study we propose a general scaling law to determine the binding energy of excitons in perovskite quantum wells of any layer thickness.

Hybrid 2D layered perovskites are solution-processed quantum wells whose optoelectronic properties are tunable by varying the thickness of the inorganic slab. Here Blancon et al. work out a general behavior for dependence of the excitonic properties in layered 2D perovskites.

[A comparative study of titanium elastic intramedullary nail internal fixation and bone plate internal fixation in the treatment of adult Galeazzi fracture]

Objective

To explore the effectiveness difference between titanium elastic intramedullary nail internal fixation and bone plate internal fixation in the treatment of adult Galeazzi fracture.

Methods

Ninety-seven patients of Galeazzi fracture according with the selection criteria were divided into 2 groups by prospective cohort study, who were admitted between January 2012 and November 2015. In the patients, 59 were treated with open reduction and bone plate internal fixation (plate group), and 38 with titanium elastic intramedullary nail internal fixation (minimally invasive group). There was no significant difference in the gender, age, cause of injury, fracture site, type of fracture, and time from injury to operation between 2 groups ( P>0.05). The operation time, intraoperative blood loss, fracture healing time, and complications were recorded and compared between 2 groups, and the forearm function was evaluated by Anderson score.

Results

All the patients were followed up 12-23 months (mean, 17 months). The operation time, intraoperative blood loss, fracture healing time of minimally invasive group were significantly less than those in plate group ( P<0.05). There were 1 case of fracture nonunion, 1 case of wound infection in plate group, and 1 case of nail tail slight infection in minimally invasive group, which were all cured after the corresponding treatment. The remaining patients had good fracture healing, and no vascular injury, internal fixation failure, deep infection, or other complications occurred. According to Anderson score at 12 months after operation, the forearm function results were excellent in 46 cases, good in 12 cases, and poor in 1 case, with an excellent and good rate of 98.3% in plate group; and the results were excellent in 26 cases, good in 11 cases, and poor in 1 case, with an excellent and good rate of 97.4% in minimally invasive group; showing no significant difference ( χ2=0.10, P=0.75).

Conclusion

Minimally invasive fixation with titanium elastic nail has such advantages as small damage, quick recovery, no skin scarring, etc. As long as the correct indication is selected, minimally invasive titanium intramedullary nail internal fixation of Galeazzi fractures can also get good effectiveness.

Multi-Grained Random Fields for Mitosis Identification in Time-Lapse Phase Contrast Microscopy Image Sequences

This paper proposes a multi-grained random fields (MGRFs) model for mitosis identification. To deal with the difficulty in hidden state discovery and sequential structure modeling in mitosis sequences only containing gradual visual pattern changes, we design the graphical structure to transform individual sequence into a set of coarse-to-fine grained sequencesconveying diverse temporal dynamics. Furthermore, we propose the corresponding probabilistic model for joint temporal learning and feature learning. To deal with the non-convex formulation of MGRF, we decomposemodel training into two sub-tasks, layer-wise sequential learning of both temporal dynamics and visual feature and new layer generation by graph-based sequential grouping, and optimize the model by alternating between them iteratively. The proposed method is validated on very challenging mitosis data set of C3H10T1/2 and C2C12 stem cells. Extensive comparison experiments demonstrate its superiority to the state of the arts.

Angiotensin converting enzyme I/D polymorphism and sarcoidosis risk

BACKGROUND

This meta-analysis investigates the associations of angiotensin-converting enzyme (ACE) polymorphism and risk of sarcoidosis.

MATERIAL AND METHOD

Two reviewers independently searched three databases including PubMed, EMBASE, and Cochrane database to identify published studies. Full texts of the selected studies were accessed and related data was extracted using a standardized data extraction form.

RESULTS

A total of 18 studies contained a total of 1626 patients with sarcoidosis in case group and 2465 healthy controls in control group. Results of the current meta-analysis revealed that ACE DD genotype was associated with a significantly increased risk of sarcoidosis (OR=1.21; 95% CI, 1.06-1.38; I2=48%). In the race subgroup analysis, Asians with ACE DD genotype showed no significant increased risk of sarcoidosis (OR=1.37; 95% CI, 0.94-1.99; I2=78%). Caucasians with ACE DD genotype had an increased sarcoidosis risk (OR=1.16; 95% CI, 1.01-1.36; I2=24%).

CONCLUSIONS

Our meta-analysis indicated that the ACE DD genotype correlated with an increased risk of sarcoidosis.

Angiotensin II Promotes Atherogenesis through upregulating the Expression of Connexin 43 in Dendritic Cells

It is known, for a long time, that angiotensin II (Ang II) could contribute to atherogenesis (AS) and plaque vulnerability, however the underlying mechanisms are poorly understood. Dendritic cells (DCs) are critical for the development of both inflammation and atherogenesis. In the present study, we tried to investigate the influence of AngII on the expression of connexin43 (Cx43) in DCs, as well as the effect of AngII on AS. After mouse bone marrow&mdash;derived dendritic cells (BMDCs) were treated by Ang II with or without Valsartan, the expression of Cx43 was quantified by Western Blots. The expression of Cx43 and CD40 (one marker of DCs) of DCs derived from AS plaques of ApoE&mdash;/&mdash; mice was detected by immunohistochemistry double staining. The morphology of atherosclerotic plaque was indicated by immunohistochemistry staining of smooth muscle cells. The expression of Cx43 (P &lt; 0.05) was increased significantly in mouse BMDCs after treatment with AngII. In atherosclerotic plaques from ApoE&mdash;/&mdash; mice expressing high levels of endogenous AngII, upregulation of Cx43 (P &lt; 0.01) and CD40 (P &lt; 0.01) was observed. The upregulation and pro&mdash;atherogenesis effect of Cx43 could be blocked by the AngII type 1 receptor blocker Valsartan, both in vitro and in vivo. AngII may promote atherosclerosis and plaque vulnerability by increasing the expression of Cx43 in DCs and inducing the maturation of DCs through the angiotensin II type 1 receptor.

Association between CC motif chemokine ligand 5 (CCL5) polymorphisms and asthma risk: an updated meta-analysis

BACKGROUND

Findings regarding the associations between the CC motif chemokine ligand 5 (CCL5) -403G/A and -28C/G polymorphisms and asthma risk are controversial.We performed a meta-analysis to determine whether CCL5 polymorphisms are associated with asthma risk.

METHODS

We searched the Pubmed, Embase, Chinese National Knowledge Infrastructure (CNKI), and Wanfang databases for studies published before June 2013. The strength of associations was calculated using ORs with 95% CIs.

RESULTS

Twenty case-control studies were included in this meta-analysis. We did not observe a significant association between the CCL5 -403G/A polymorphism and asthma risk (OR, 1.10; 95% CI, 0.93-1.30; P = .25). The CCL5 - 28C/G polymorphism, however, was associated with a significantly elevated asthma risk (OR, 1.17; 95% CI, 1.02-1.33; P = .02). Subgroup analyses found that the CCL5 -28C/G polymorphism was significantly associated with asthma risk in Asians (OR, 1.16; 95% CI, 1.01-1.33; P = .04) and children (OR, 1.29; 95% CI, 1.03-1.63; P = .03).

CONCLUSIONS

This meta-analysis suggests that the CCL5 -28C/G polymorphism is a risk factor for asthma.

Experimental analyses of the major parameters affecting the intensity of outbursts of coal and gas

With an increase in mining depth and production, the intensity and frequency of outburst of coal and gas have a tendency to increase. Estimating the intensity of outbursts of coal and gas plays an important role because of its relation with the risk value. In this paper, we described the semiquantitative relations between major parameters and intensity of outburst based on physical experiments. The results showed increment of geostress simulated by horizontal load (from 1.4, 2.4, 3.2, to 3.4 MPa) or vertical load (from 2, 3, 3.6, to 4 MPa) improved the relative intensity rate (3.763-7.403% and 1.273-7.99%); the increment of porosity (from 1.57, 2.51, 3, to 3.6%) improved the relative intensity rate from 3.8 to 13.8%; the increment of gas pressure (from 0, 0.5, 0.65, 0.72, 1, to 1.5 Mpa) induced the relative intensity rate to decrease from 38.22 to 0%; the increment of water content (from 0, 2, 4, to 8%) caused the relative intensity rate to drop from 5.425 to 0.5%. Furthermore, sensitivity and range analysis evaluates coupled factors affecting the relative intensity. In addition, the distinction with initiation of outburst of coal and gas affected by these parameters is discussed by the relative threshold of gas content rate.

Interferon-gamma +874A/T polymorphism is associated with asthma risk: a meta-analysis

BACKGROUND

Results regarding the association between the interferon-y (lFN-y) +874A/T polymorphism and asthma risk are controversial and ambiguous. The aim of this study was to determine with greater precision the relationship between the IFN-gamma+874A/T polymorphism and asthma using a meta-analysis.

METHODS

Published literature was retrieved from 5 databases (PubMed, EMBASE, Wanfang, China National Knowledge Infrastructure [CNKI] and Weipu). ORs with 95% Cls were used to assess the strength of association.

RESULTS

Ten case-control studies involving 697 cases and 1049 controls were identified. In the overall analysis, a significant association between the +874A/T polymorphism and asthma susceptibility was found for AA vs AT + TT (OR, 1.89; 95% CI, 1.37-2.62; P=.0001). In the subgroup analysis by ethnicity, significant associations were found among whites (OR, 1.42; 95% CI, 1.04-1.93; P=.03) and Asians (OR, 2.52; 95% CI, 1.49-4.25; P=.0006). The sensitivity analysis and cumulative meta-analysis further strengthened the validity of this association. No publication bias was observed in this study.

CONCLUSION

The results of this meta-analysis suggest that the IFN-gamma +874A/T polymorphism is a risk factor for asthma.

Effects of TNF-α polymorphisms on asthma risk: a systematic review and meta-analysis

BACKGROUND

Several studies have examined associations between TNF-α polymorphisms and asthma risk, but the results have been conflicting.

METHODS

A search was performed of the PubMed, EMBASE, and Wanfang databases. Data were extracted and pooled ORs with 95% CIs were calculated.

RESULTS

Fifty-four studies were included. A significant association between the TNFA-308A/G polymorphism and asthma susceptibility was observed for AA + AG vs GG (OR, 1.39; 95% CI, 1.23-1.58; P < .001). This polymorphism was also significantly associated with asthma risk in whites (OR, 1.47; 95% CI, 1.25-1.73; P < .001), atopic asthma risk (OR, 1.38; 95% CI, 1.16-1.65; P < .001), pediatric asthma risk (OR, 1.48; 95% CI, 1.23-1.79; P < .001), and adult asthma risk (OR, 1.35; 95% CI, 1.21-1.52; P < .001).There was also a significant association between the TNFA -857C/T polymorphism and asthma risk in the recessive model (OR, 1.25; 95% CI, 1.10-1.43; P < .001). In the subgroup analyses, asthma risk was significantly increased in Asians (OR, 1.23; 95% CI, 1.07-1.41; P = .004) and atopic individuals (OR, 1.33; 95% CI, 1.13-1.57; P < .001). No significant association was found for the TNFA-238A/G polymorphism. There were insufficient data to evaluate the associations between TNFA -1031T/C and -863C/A polymorphisms and asthma risk.

CONCLUSIONS

This meta-analysis suggests that TNFA -308A/G and -857C/T polymorphisms are risk factors for asthma.

Tamarind Seed Xyloglucans Promote Proliferation and Migration of Human Skin Cells through Internalization via Stimulation of Proproliferative Signal Transduction Pathways

Xyloglucans (XGs) of Tamarindus indica L. Fabaceae are used as drug vehicles or as ingredients of cosmetics. Two xyloglucans were extracted from T. indica seed with cold water (TSw) and copper complex precipitation (TSc). Both were analyzed in regard to composition and influence on cell viability, proliferation, cell cycle progression, migration, MAPK phosphorylation, and gene expression of human skin keratinocytes (NHEK and HaCaT) and fibroblasts (NHDF) in vitro. TSw and TSc differed in molecular weight, rhamnose content, and ratios of xylose, arabinose, galactose, and glucose. Both XGs improved keratinocytes and fibroblast proliferation, promoted the cell cycle, and stimulated migration and intracellular enzyme activity of NHDF after endosomal uptake. Only TSw significantly enhanced HaCaT migration and extracellular enzyme activity of NHDF and HaCaT. TSw and TSc predominantly enhanced the phosphorylation of molecules that referred to Erk signaling in NHEK. In NHDF parts of the integrin signaling and SAPK/JNK pathway were affected. Independent of cell type TSw marginally regulated the expression of genes, which referred to membrane proteins, cytoskeleton, cytokine signaling, and ECM as well as to processes of metabolism and transcription. Results show that T. indica xyloglucans promote skin regeneration by a direct influence on cell proliferation and migration.

Sodium hydrosulfide prevents hypoxia-induced pulmonary arterial hypertension in broilers

1. The aim of the study was to determine if H(2)S is involved in the development of hypoxia-induced pulmonary hypertension in broilers, a condition frequently observed in a variety of cardiac and pulmonary diseases. 2. Two-week-old broilers were reared under normoxic conditions or exposed to normobaric hypoxia (6 h/day) with tissue levels of H(2)S adjusted by administering sodium hydrosulfide (NaHS, 10 µmol/kg body weight/day). Mean pulmonary arterial pressure, right ventricular mass, plasma and tissue H(2)S levels, the expression of cystathionine-β-synthase (CSE) and vascular remodeling were determined at 35 d of age. 3. Exposure to hypoxia-induced pulmonary arterial hypertension was characterized by elevated pulmonary pressure, right ventricular hypertrophy and vascular remodeling. This was accompanied by decreased expression of CSE and decreased concentrations of plasma and tissue H(2)S. 4. Hypoxia-induced pulmonary hypertension was significantly reduced by administration of NaHS but this protective effect was largely abolished by D, L-propargylglycerine, an inhibitor of CSE. 5. The results indicate that H(2)S is involved in the development of hypoxia-induced pulmonary hypertension. Supplementing NaHS or H(2)S could be a strategy for reducing hypoxia-induced hypertension in broilers.

Molecular cytogenetic studies in strepsirrhine primates, Dermoptera and Scandentia

Since the first chromosome painting study between human and strepsirrhine primates was performed in 1996, nearly 30 species in Strepsirrhini, Dermoptera and Scandentia have been analyzed by cross-species chromosome painting. Here, the contribution of chromosome painting data to our understanding of primate genome organization, chromosome evolution and the karyotype phylogenetic relationships within strepsirrhine primates, Dermoptera and Scandentia is reviewed. Twenty-six to 43 homologous chromosome segments have been revealed in different species with human chromosome-specific paint probes. Various landmark rearrangements characteristic for each different lineage have been identified, as cytogenetic signatures that potentially unite certain lineages within strepsirrhine primates, Dermoptera and Scandentia.