Competition for Active TGFß Cytokine Allows for Selective Retention of Antigen-Specific Tissue- Resident Memory T Cells in the Epidermal Niche.

Following antigen-driven expansion in lymph node, transforming growth factor-ß (TGFß) is required for differentiation of skin-recruited CD8+ T cell effectors into epidermal resident memory T (Trm) cells and their epidermal persistence. We found that the source of TGFß -supporting Trm cells was autocrine. In addition, antigen-specific Trm cells that encountered cognate antigen in the skin, and bystander Trm cells that did not, both displayed long-term persistence in the epidermis under steady-state conditions. However, when the active-TGFß was limited or when new T cell clones were recruited into the epidermis, antigen-specific Trm cells were more efficiently retained than bystander Trm cells. Genetically enforced TGFßR signaling allowed bystander Trm cells to persist in the epidermis as efficiently as antigen-specific Trm cells in both contexts. Thus, competition between T cells for active TGFß represents an unappreciated selective pressure that promotes the accumulation and persistence of antigen-specific Trm cells in the epidermal niche.

CRCS: An automatic image processing pipeline for hormone level analysis of Cushing's disease.

Due to the abnormal secretion of adreno-cortico-tropic-hormone (ACTH) by tumors, Cushing's disease leads to hypercortisonemia, a precursor to a series of metabolic disorders and serious complications. Cushing's disease has high recurrence rate, short recurrence time and undiscovered recurrence reason after surgical resection. Qualitative or quantitative automatic image analysis of histology images can potentially in providing insights into Cushing's disease, but still no software has been available to the best of our knowledge. In this study, we propose a quantitative image analysis-based pipeline CRCS, which aims to explore the relationship between the expression level of ACTH in normal cell tissues adjacent to tumor cells and the postoperative prognosis of patients. CRCS mainly consists of image-level clustering, cluster-level multi-modal image registration, patch-level image classification and pixel-level image segmentation on the whole slide imaging (WSI). On both image registration and classification tasks, our method CRCS achieves state-of-the-art performance compared to recently published methods on our collected benchmark dataset. In addition, CRCS achieves an accuracy of 0.83 for postoperative prognosis of 12 cases. CRCS demonstrates great potential for instrumenting automatic diagnosis and treatment for Cushing's disease.

Assisting the analysis of insertions and deletions using regional allele frequencies.

Accurate estimation of population allele frequency (AF) is crucial for gene discovery and genetic diagnostics. However, determining AF for frameshift-inducing small insertions and deletions (indels) faces challenges due to discrepancies in mapping and variant calling methods. Here, we propose an innovative approach to assess indel AF. We developed CRAFTS-indels (Calculating Regional Allele Frequency Targeting Small indels), an algorithm that combines AF of distinct indels within a given region and provides "regional AF" (rAF). We tested and validated CRAFTS-indels using three independent datasets: gnomAD v2 (n=125,748 samples), an internal dataset (IGM; n=39,367), and the UK BioBank (UKBB; n=469,835). By comparing rAF against standard AF, we identified rare indels with rAF exceeding standard AF (sAF≤10-4 and rAF>10-4) as "rAF-hi" indels. Notably, a high percentage of rare indels were "rAF-hi", with a higher proportion in gnomAD v2 (11-20%) and IGM (11-22%) compared to the UKBB (5-9% depending on the CRAFTS-indels' parameters). Analysis of the overlap of regions based on their rAF with low complexity regions and with ClinVar classification supported the pertinence of rAF. Using the internal dataset, we illustrated the utility of CRAFTS-indel in the analysis of de novo variants and the potential negative impact of rAF-hi indels in gene discovery. In summary, annotation of indels with cohort specific rAF can be used to handle some of the limitations of current annotation pipelines and facilitate detection of novel gene disease associations. CRAFTS-indels offers a user-friendly approach to providing rAF annotation. It can be integrated into public databases such as gnomAD, UKBB and used by ClinVar to revise indel classifications.

Genetic variation of pharmacogenomic VIP variants in the Chinese Li population: an updated research.

Previous studies have shown that the frequency of very important pharmacogenomic (VIP) genes varies in different populations which leads to the diversities in drug efficacy, safety, and the risk associated with adverse drug reactions (ADRs). The purpose of this study was to identify the distribution differences of VIP variants between the Li population and the other 13 populations. Based on the Pharmacogenomics Knowledgebase database (PhamGKB), we successfully genotyped 52 VIP variants within 27 genes in 200 unrelated Li population. χ2 test was used to evaluate the significant differences of genotype and allele frequencies between the Li and the other 13 populations from 1000 Genomes Project. Our study showed that the genotype frequencies of single nucleotide polymorphisms (SNPs) on KCNH2, ACE, CYP4F2, and CYP2E1 were considerably different between Li and the other 13 populations, especially in rs1805123 (KCNH2), rs4291 (ACE), rs3093105 (CYP4F2), and rs6413432 (CYP2E1) loci. Meanwhile, we found several VIP variants that might alter the drug metabolism of cisplatin-cyclophosphamide (CYP2E1), vitamin E (CYP4F2), asthma amlodipine, chlorthalidone, and lisinopril (ACE) through PharmGKB. We also identified other variants which were associated with adverse effects in isoniazid and rifampicin (CYP2E1; hepatotoxicity). The four loci rs1805123 (KCNH2), rs4291 (ACE), rs3093105 (CYP4F2), and rs6413432 (CYP2E1) provided a reliable basis for the prediction of the efficacy of certain drugs. The study complemented the existed pharmacogenomics information, which could provide theoretical basis for predicting the efficacy of certain drugs in the Li population.

Influence of CMTM8 polymorphisms on lung cancer susceptibility in the Chinese Han population.

BACKGROUND: Lung cancer is the leading cause of cancer-related mortality worldwide and CMTM8 is a potential tumor suppressor gene, which is down-regulated in lung cancer. The objective of this research was to assess the association of CMTM8 genetic polymorphisms with lung cancer risk. METHODS: To evaluate the correlation between CMTM8 polymorphisms and lung cancer risk, Agena MassArray platform was used for genotype determination among 509 lung cancer patients and 506 controls. Multiple genetic models, stratification analysis and Haploview analysis were used by calculating odds ratio (OR) and 95% confidence intervals (CIs). RESULTS: Significant associations were detected between CMTM8 rs6771238 and an increased lung cancer risk in codominant (adjusted OR = 1.57, 95% CI: 1.01-2.42, P = 0.044) and dominant (adjusted OR = 1.54, 95% CI: 1.01-2.36, P = 0.047) models. After sex stratification analysis, we observed that rs6771238 was related to an increased risk of lung squamous cell carcinoma, while rs6771238 was associated with an increased risk of lung adenocarcinoma. Rs9835916 was linked to increased risk of lymph node metastasis in lung cancer patients. CONCLUSION: Our study first reported that CMTM8 polymorphisms were a risk factor for lung cancer, which suggested the potential roles of CMTM8 in the development of lung cancer.

Assessment of ADCY9 polymorphisms and colorectal cancer risk in the Chinese Han population.

BACKGROUND: Recently, ADCY9 has been found to be highly expressed in colon cancer, and high ADCY9 expressionis a poor prognostic factor of colon cancer. However, no study has reported on the relationship between single nucleotide polymorphisms (SNPs) of ADCY9 and colorectal cancer risk in the Chinese Han population. METHODS: To evaluate the association between four ADCY9 SNPs and colorectal cancer risk, we performed a case-control study including 511 colorectal cancer patients and 511 healthy controls. SNPs were genotyped using the Agena MassARRAY platform (Agena Bioscience, San Diego, CA, USA). The distributions of alleles and genotypes frequencies between the case and control groups were compared using chi-squared. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by logistic regression adjusted for age and gender to assess the association between SNPs and colorectal cancer risk. RESULTS: The overall analysis found that rs2230742 was associated with an increased risk of colorectal cancer (AA versus GG: OR = 3.54, 95% CI = 1.16-10.86, p = 0.027; recessive model: OR = 3.55, 95% CI = 1.16-10.85, p = 0.027). Stratification analysis showed that rs2230742 was associated with an increased rectal cancer risk; rs11076810 was associated with a reduced colorectal cancer risk for age > 59 years. No association was observed between other two SNPs and colorectal cancer risk. CONCLUSIONS: Our findings suggest that ADCY9 polymorphisms (rs2230742 and rs11076810) have an effect on colorectal cancer risk in the Chinese Han population. Future association and functional studies are required to confirm our findings and explore the mechanism of ADCY2 in colorectal cancer.

RAB40C gene polymorphisms rs62030917 and rs2269556 are associated with an increased risk of lumbar disc herniation development in the Chinese Han population.

BACKGROUND: Lumbar disc herniation (LDH) places a serious burden on the daily lives and socioeconomics of people. Although the pathogenesis of LDH is complex, genetic factors such as single nucleotide polymorphisms (SNPs) may affect the risk of developing LDH. In the present study, we aimed to elucidate the effect of RAB40C SNPs on the risk of LDH in the Chinese Han population. METHODS: We investigated 508 LDH cases and 508 healthy controls for this case-control study. Three tag SNPs in RAB40C were selected and genotyped using the Agena MassARRAY platform (Agena Bioscience, San Diego, CA, USA). After adjusting for age and gender, odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using unconditional logistic regression. RESULTS: In the allele model, we found rs62030917 and rs2269556 in RAB40C with a minor G allele significantly increased the risk of LDH (rs62030917: OR = 1.23, 95% CI = 1.00-1.50, p = 0.046; rs2269556: OR = 1.21, 95% CI = 1.02-1.45, p = 0.033). In genetic model analysis, rs2269556 was associated with an increased risk of LDH under both codominant (OR = 1.49, 95% CI = 1.03-2.15, p = 0.035) and log-additive models (OR = 1.21, 95% CI = 1.01-1.45, p = 0.035). rs62030917 of RAB40C was associated with an increased risk of LDH under codominant, recessive and log-additive models (p < 0.05) only among individuals younger than 49 years after stratification by age. CONCLUSIONS: For the first time, our results suggest that rs62030917 and rs2269556 in the RAB40C gene influence genetic susceptibility to LDH.

Genetic variation of pharmacogenomic VIP variants in Zhuang nationality of southern China.

Drug gene polymorphisms are strongly associated with disease. Previous studies have shown that the frequency of drug genes varies in different populations. At present, there are no reports about the polymorphism of the drug genome in the Zhuang population in southern China. This study conducted a pharmacogenomics study on the Zhuang population in southern China. Therefore, we conducted genotyping on 105 Zhuang samples, and compared the genotyping results with those of other 11 ethnic groups after statistical analysis. Our results show that, compared with the 11 populations in the HapMap data set, the differences between the CYP2E1 rs2070676 and CYP2D6 rs1065852 of the Zhuang nationality are the largest. This study fills in the blank of the drug genome information of the Zhuang nationality in southern China. The two sites of Rs2070676 (CYP2E1) and rs1065852 (CYP2D6) provide a reliable basis for the prediction of the efficacy of certain drugs. Its main purpose is to provide theoretical basis for safe drug use in the Zhuang region of southern China.

Impact of genetic variants in IL-2RA and IL-2RB on breast cancer risk in Chinese Han women.

The expression of IL-2RA and IL-2RB was correlated with breast cancer (BC) progression. However, there is no literature investigating the association of IL-2RA and IL-2RB polymorphisms with BC predisposition among Chinese Han Women. Seven SNPs in IL-2RA and IL-2RB were genotyped by Agena MassARRAY platform among 553 BC patients and 550 healthy controls. Odds ratios (OR) and 95% confidence interval (CI) adjusted for age were calculated for the effect of IL-2RA and IL-2RB variants on BC susceptibility. IL-2RA rs12722498 was a protective factor for BC occurrence (OR = 0.70, p = 0.019), especially in subjects with age ≤ 52 years (OR = 0.55, p = 0.004). IL-2RA rs12569923 (OR = 9.07, p = 0.033), IL-2RB rs2281089 (OR = 0.67, p = 0.043) and rs9607418 (OR = 0.59, p = 0.012) were related to the incidence of estrogen receptor positive (ER +) BC. IL-2RB rs3218264 (OR = 1.38, p = 0.010) and rs9607418 (OR = 0.56, p = 0.009) were associated with the risk of developing progesterone receptor positive (PR +) BC. Rs2281089 (OR = 1.54, p = 0.012) and rs1573673 (OR = 0.72, p = 0.035) were correlated to Ki-67 level. Moreover, IL-2RB rs2281089 (OR = 0.72, p = 0.022) showed a reduced risk of BC metastasis, and IL-2RA rs12722498 (OR = 0.54, p = 0.030) had a lower frequency in BC patients with tumor size > 2 cm. Our study identified the potential effect of genetic variations in IL-2RA and IL-2RB on BC susceptibility and/or BC clinicopathologic indicators among Chinese Han Women.

Evaluation of genetic variants in IL-1B and its interaction with the predisposition of osteoporosis in the northwestern Chinese Han population.

BACKGROUND: Interleukin (IL)-1ß stimulates the proliferation and differentiation of osteoclast precursors into mature osteoclasts. IL-1B polymorphisms may influence the gene and protein expression of IL-1ß. The present study aimed to investigate the association of IL-1B variants (rs2853550, rs1143643, rs3136558, rs1143630, rs1143627, rs16944 and rs1143623) and their interaction with osteoporosis risk among the northwestern Chinese Han population. METHODS: AN Agena MassARRAY system (Agena, San Diego, CA, USA) was employed for genotyping in 594 osteoporosis patients and 599 healthy controls. The possible association between IL-1B polymorphisms and risks of osteoporosis development was identified with odds ratios (OR) and 95% confidence intervals (CI) using logistic regression models. Haplotype analysis and multifactor dimension reduction analysis were used to explore the potential association between combined single nucleotide polymorphisms (SNPs) and osteoporosis risk. RESULTS: The AA genotype of rs2853550 was a protective factor for osteoporosis occurrence (OR = 0.11, p = 0.038), whereas rs16944 (OR = 1.19, p = 0.037) and rs1143623 (OR = 1.21, p = 0.025) conferred an increased risk of osteoporosis. Moreover, rs1143627, rs16944 and rs1143623 were associated with an elevated susceptibility to osteoporosis, especially in females and individuals aged > 60 years or with a body mass index > 24 kg/m2 . Haplotype Grs1143630 Ars1143627 Grs16944 was a risk factor of osteoporosis occurrence (OR = 1.20, p = 0.032). The best model of SNP-SNP analysis was a four-locus combination of rs1143643, rs3136558, rs1143630 and rs1143623 (testing accuracy = 0.5623). CONCLUSIONS: IL-1B polymorphisms and haplotype Grs1143630 Ars1143627 Grs16944 might contribute to susceptibility to osteoporosis. The SNP-SNP interaction of polymorphisms in IL-1B revealed the accumulated effect on osteoporosis risk.

Association of polymorphisms in LOC105377871 and CASC16 with breast cancer in the northwest Chinese Han population.

BACKGROUND: Breast cancer represents the cancer with the highest incidence and mortality among women in the world, and its pathogenesis is complex. Single nucleotide polymorphisms (SNPs) are one of the factors that influence the risk of breast cancer. The present study aimed to investigate the effects of LOC105377871 and CASC16 polymorphisms on the risk of breast cancer in the northwest Chinese Han population. METHODS: We selected 503 breast cancer patients and 503 healthy controls for the present study. Genotyping was performed using the Agena MassARRAY system (Agenea Bioscience, San Diego, CA, USA) and we evaluated the association between SNPs (rs17530068 and rs4784227) and the risk of breast cancer in four genetic models. Unconditional logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: It was found that the rs17530068 increased the breast cancer risk in log-additive model (p = 0.047, OR = 1.23, 95% CI = 1.00-1.50). After stratification, the "T" allele of rs4784227 increased the risk of lymph node metastasis in breast cancer patients (allele: p = 0.025, OR = 1.51, 95% CI = 1.05-2.17; codominant model: p = 0.008, OR = 1.99, 95% CI = 1.20-3.31; dominant model: p = 0.008, OR = 1.94, 95% CI = 1.19-3.16; log-additive model: p = 0.023, OR = 1.52, 95% CI = 1.06-2.19). CONCLUSIONS: The results of the present study show that, in the northwest Chinese Han population, SNP rs17530068 (LOC105377871) increases the risk of breast cancer and SNP rs4784227 (CASC16) promotes lymph node metastasis in breast cancer patients.

Association of GSDMC polymorphisms with lumbar disc herniation among Chinese Han population.

Lumbar disc herniation (LDH) is a relatively common spinal disease, but its pathogenesis is still unknown. Numerous studies have shown that LDH is closely correlated with inflammation, and it has been found to be related to some single nucleotide polymorphisms (SNPs). Our purpose is to explore the correlation between gene polymorphisms of GSDMC and LDH risk, which is of great significance for the study of the pathogenesis of LDH. DNA was extracted from 508 LDH patients and 508 controls. We select SNPs with minor allele frequency >5% in GSDMC gene from 1,000 genome project (http://www.internationalgenome.org/). Then, genotyping was performed using Agena MassARRAY. We used unconditional logistic regression analysis to calculate odds ratios (ORs) and 95% confidence intervals (CIs). The haplotype construction and analysis in GSDMC were applied to detect the association. We identified that rs77681114 in the GSDMC gene was significantly associated with a decreased risk of LDH in the alleles model (OR = 0.81, 95% CI = 0.66-0.99, p = .049) and the log-additive model (OR = 0.81, 95% CI = 0.65-0.99, p = .049) adjusted by age and gender. The haplotype "AG" constructed by rs77681114 and rs4285452 (OR = 1.24, 95% CI = 1.01-1.53, p = .039) was associated with increased risk of LDH. After age and gender stratification, rs77681114 protected LDH risk at age 49 or older in allelic model (p = .010), co-dominant model (p = .006), dominant model (p = .029), recessive model (p = .011) and log-additive model (p = .005). Rs77681114 had protective effect on female LDH risk in both co-dominant models (p = .033) and recessive models (p = .043). These studies indicated that genetic polymorphisms of GSDMC can relatively reduce the risk of LDH.

The influence of CYP1A1 and CYP1A2 polymorphisms on stroke risk in the Chinese population.

BACKGROUNDS: Stroke is a sudden disorder of cerebral blood circulation. Many studies have illustrated that dyslipidemia, hypertension, diabetes, smoking and excessive drinking are the traditional risk factors for stroke. This study aimed to observe the relationship between CYP1A1 and CYP1A2 variants and stroke risk in the Chinese population. METHODS: Agena MassARRAY Assay was used to genotype four single nucleotide polymorphisms (SNPs) in 477 cases and 480 controls. The chi-square test and logistic-regression analysis were used to explore the relationship between CYP1A1 and CYP1A2 variants and stroke risk. RESULTS: Individuals with CYP1A2 rs762551 C was associated with a lower risk of stroke than that of allele A. Age stratification analysis showed that rs762551 was only observed to be associated with a lower risk of stroke in ≤64ys age group. After gender stratification analysis, a significant association between rs762551 and stroke risk was found in males, but not in females. The four SNPs were found to be correlated with stroke risk in patients with hypertension, coronary heart disease, cerebral infarction and lacunar infarction. CONCLUSION: In this study, the results first showed that CYP1A1 and CYP1A2 variants were associated with stroke risk. Larger and well-designed studies are needed to confirm the results.

Behavioural factors associated with diarrhea among adults over 18 years of age in Beijing, China.

BACKGROUND: To date, a large proportion of people still suffer from diarrhea diseases. In addition to the burden of diarrhea, there are substantial social and economic costs caused by the high incidence of diarrheal diseases. Therefore, the purpose of this study was to explore the self-reported prevalence of diarrhea and associated risk factors of diarrhea among adults in Beijing, China. METHODS: A multistage, stratified study based on cross-sectional data was performed using randomized and systematic sampling, recruiting 12,936 adults over 18 years of age in Beijing. All adults were requested to complete a questionnaire, including information such as demographic characteristics, incidence of diarrhea, and behaviors related to the diarrhea. RESULTS: The self-reported prevalence of diarrhea was 17.5% during the last year prior to the survey. Six behavioral factors were significantly associated with diarrhea in our study including: (1) washing hands before meals and after defecation (Adjusted Odds Ratio (AOR) 0.707, 95% CI 0.597 ~ 0.837), (2) washing hands with soap and running water (AOR 0.872, 95% CI 0.786 ~ 0.967), (3) consuming raw seafood (AOR 1.285, 95% CI 1.138 ~ 1.450), (4) using the same chopping block and knife when processing raw and cooked food (AOR 1.375, 95% CI 1.225 ~ 1.542), (5) using the same chopsticks to handle raw and cooked food (AOR1.149, 95% CI 1.041 ~ 1.268), and (6) regularly participating in physical exercise (AOR 0.719, 95% CI 0.651 ~ 0.793). CONCLUSION: Good health habits, good eating habits, and regular exercise can prevent the episodes of diarrhea, and thus decrease the potential for disease occurrence.

Microbial Degradation of Tetracycline Antibiotics: Mechanisms and Environmental Implications.

The escalating global consumption of tetracyclines (TCs) as broad-spectrum antibiotics necessitates innovative approaches to mitigate their pervasive environmental persistence and associated risks. While initiatives such as China's antimicrobial reduction efforts highlight the urgency of responsible TC usage, the need for efficient degradation methods remains paramount. Microbial degradation emerges as a promising solution, offering novel insights into degradation pathways and mechanisms. Despite challenges, including the optimization of microbial activity conditions and the risk of antibiotic resistance development, microbial degradation showcases significant innovation in its cost-effectiveness, environmental friendliness, and simplicity of implementation compared to traditional degradation methods. While the published reviews have summarized some aspects of biodegradation of TCs, a systematic and comprehensive summary of all the TC biodegradation pathways, reactions, intermediates, and final products including ring-opening products involved with enzymes and mechanisms of each bacterium and fungus reported is necessary. This review aims to fill the current gap in the literature by offering a thorough and systematic overview of the structure, bioactivity mechanism, detection methods, microbial degradation pathways, and molecular mechanisms of all tetracycline antibiotics in various microorganisms. It comprehensively collects and analyzes data on the microbial degradation pathways, including bacteria and fungi, intermediate and final products, ring-opening products, product toxicity, and the degradation mechanisms for all tetracyclines. Additionally, it points out future directions for the discovery of degradation-related genes/enzymes and microbial resources that can effectively degrade tetracyclines. This review is expected to contribute to advancing knowledge in this field and promoting the development of sustainable remediation strategies for contaminated environments.

Influenza vaccination coverage rates among adults before and after the 2009 influenza pandemic and the reasons for non-vaccination in Beijing, China: a cross-sectional study.

BACKGROUND: To optimize the vaccination coverage rates in the general population, the status of coverage rates and the reasons for non-vaccination need to be understood. Therefore, the objective of this study was to assess the changes in influenza vaccination coverage rates in the general population before and after the 2009 influenza pandemic (2008/2009, 2009/2010, and 2010/2011 seasons), and to determine the reasons for non-vaccination. METHODS: In January 2011 we conducted a multi-stage sampling, retrospective, cross-sectional survey of individuals in Beijing who were ≥ 18 years of age using self-administered, anonymous questionnaires. The questionnaire consisted of three sections: demographics (gender, age, educational level, and residential district name); history of influenza vaccination in the 2008/2009, 2009/2010, and 2010/2011 seasons; and reasons for non-vaccination in all three seasons. The main outcome was the vaccination coverage rate and vaccination frequency. Differences among the subgroups were tested using a Pearson's chi-square test. Multivariate logistic regression was used to determine possible determinants of influenza vaccination uptake. RESULTS: A total of 13002 respondents completed the questionnaires. The vaccination coverage rates were 16.9% in 2008/2009, 21.8% in 2009/2010, and 16.7% in 2010/2011. Compared to 2008/2009 and 2010/2011, the higher rate in 2009/2010 was statistically significant (χ2=138.96, p<0.001), and no significant difference existed between 2008/2009 and 2010/2011 (χ2=1.296, p=0.255). Overall, 9.4% of the respondents received vaccinations in all three seasons, whereas 70% of the respondents did not get a vaccination during the same period. Based on multivariate analysis, older age and higher level of education were independently associated with increased odds of reporting vaccination in 2009/2010 and 2010/2011. Among participants who reported no influenza vaccinations over the previous three seasons, the most commonly reported reason for non-vaccination was 'I don't think I am very likely to catch the flu' (49.3%). CONCLUSIONS: Within the general population of Beijing the vaccination coverage rates were relatively low and did not change significantly after the influenza pandemic. The perception of not expecting to contract influenza was the predominant barrier to influenza vaccination. Further measures are needed to improve influenza vaccination coverage.

An experimental and modeling study of the viscoelastic behavior of collagen gel.

The macroscopic viscoelastic behavior of collagen gel was studied through relaxation time distribution spectrum obtained from stress relaxation tests and viscoelastic constitutive modeling. Biaxial stress relaxation tests were performed to characterize the viscoelastic behavior of collagen gel crosslinked with Genipin solution. Relaxation time distribution spectrum was obtained from the stress relaxation data by inverse Laplace transform. Peaks at the short (0.3 s-1 s), medium (3 s-90 s), and long relaxation time (>200 s) were observed in the continuous spectrum, which likely correspond to relaxation mechanisms involve fiber, inter-fibril, and fibril sliding. The intensity of the long-term peaks increases with higher initial stress levels indicating the engagement of collagen fibrils at higher levels of tissue strain. We have shown that the stress relaxation behavior can be well simulated using a viscoelastic model with viscous material parameters obtained directly from the relaxation time spectrum. Results from the current study suggest that the relaxation time distribution spectrum is useful in connecting the macro-level viscoelastic behavior of collagen matrices with micro-level structure changes.

A meta-analysis of the association between mindfulness and motivation.

Introduction: Mindfulness reflects attention to the present moment in a non-judgmental way and has been linked to individual autonomy and motivation, but conclusions are inconsistent. The purpose of this review was to summarize previous studies to explore the relationship between mindfulness and motivation and its intervention effects. Methods: Literature searches were conducted in five electronic databases. Both correlational studies assessing the association between motivation and mindfulness and experimental studies to verify the effect of intervention were included. Results: Six papers with seven intervention studies and twenty-three papers with twenty-seven correlational studies met the inclusion criteria. Meta-analysis showed that mindfulness was positively correlated with intrinsic motivation (r = 0.28, p < 0.0001) and total motivation (r = 0.37, p < 0.0001) but had no significant correlation with extrinsic motivation (r = 0.01, p = 0.93) or amotivation (r = -0.17, p = 0.14). Effect-size estimates suggested that mindfulness intervention was beneficial to motivation promotion, but the effect was at a low level (g = 0.12). Conclusion: We found consistent support for mindfulness practice relating to motivation promotion, especially on intrinsic motivation development. However, there was still a portion of heterogeneity that could not be explained and needed to be identified in future studies.

[Analysis of status and influence factors of health literacy related to infectious diseases in residents of Beijing].

OBJECTIVE: To assess the status and associated influence factors of health literacy relating to infectious diseases in Beijing. METHODS: A multi-stage stratified sampling method was carried out to select the sample population in Beijing, which were adults aged over 18 years. The questionnaire survey was used to collect the information of adult health literacy relating to infectious diseases, and the answers were scored. Logistic regression model was used to analyze the influence factors of health literacy relating to infectious diseases. RESULTS: The samples were 13 287 people, and the valid questionnaires were 13 001. In the study, 9.9% of the respondents were classified with enough health literacy relating to infectious diseases, and the low level of health literacy was observed among the respondents living in rural area (6.6%), elderly aged over 60 years (6.4%), poor-educated people (0.8%), farmers (4.5%), workers (4.3%), house-holders and people waiting for employment (4.5%). Multiple Logistic analyses indicated that age, educational status, occupation, self-reported health status, and regions (urban or rural area) were the influence factors associated with the level of health literacy. CONCLUSION: The residents living in Beijing were considered to be with low level of health literacy relating to infectious diseases, and more measures should be taken to improve it.

NPAS4 Polymorphisms Contribute to Coronary Heart Disease (CHD) Risk.

As genetic inheritance is an inevitable risk factor in the development of coronary heart disease (CHD), it is critical to identify the polymorphisms of CHD risk. This study explored whether the NPAS4 polymorphisms are related to the CHD risk in the Chinese Han population. Five SNPs in NPAS4 were genotyped using Agena Mass ARRAY from 499 CHD and 500 controls. RT-PCR detected the NPAS4 expression levels in peripheral blood mononuclear cells from 50 CHD and 50 controls. χ2 test compared the distributions of gender, allele and genotypes frequencies between cases and controls. Logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (95% CIs). MDR analyzed the SNP-SNP interactions on risk of CHD. U test compared the differences in gene expression between different groups. The results showed that rs4466842 was correlated with an increased CHD risk in overall, males and age ≤ 60; rs117186164 and rs12785321 were significantly related to an increased CHD risk in male and age ≤ 60, respectively; haplotype Ars117186164Crs4466842 was significantly correlated with an increased CHD risk. SNP-SNP interactions results showed that the best model was the four-locus model was the combination of rs117770654, rs117957381, rs12785321, and rs4466842 (CVC = 10/10, Testing Sensitivity = 0.647). The expression levels of NPAS4 in the case group (0.365 ± 0.139) were significantly lower than that in the control group (0.782 ± 0.224) (P < 0.001). The results revealed that SNPs in NPAS4 may play an important role in the occurrence and development of CHD.