Association of Tooth Loss and Diet Quality with Acceleration of Aging: Evidence from NHANES.

BACKGROUND: Although tooth loss is widely recognized as a typical sign of aging, whether it is associated with accelerated aging, and to what extent diet quality mediates this association are unknown. METHODS: Data were collected from the National Health and Nutrition Examination Survey. The missing tooth counts were recorded as the number of edentulous sites. Phenotypic accelerated aging was calculated using 9 routine clinical chemistry biomarkers and chronological age. Healthy Eating Index 2015 (HEI-2015) score was used to evaluate diet quality. Multivariate logistic regression and linear regression were used to analyze the association between tooth loss and accelerated aging. Mediation analyses were used to examine the mediation role of diet quality in the association. RESULTS: The association between tooth loss and accelerated aging was confirmed. The highest quartile of tooth loss showed a positive association with accelerated aging (ß=1.090; 95% confidence interval, 0.555 to 1.625; P < .001). Diet quality decreased with increase number of missing teeth and showed a negative association with accelerated aging. Mediation analysis suggested that the HEI-2015 score partially mediated the association between tooth loss and accelerated aging (proportion of mediation: 5.302%; 95% confidence interval, 3.422% to 7.182%; P < .001). Plant foods such as fruits and vegetables were considered the key mediating food. CONCLUSIONS: The association between tooth loss and accelerated aging, as well as the partially mediating role of dietary quality in this association was confirmed. These findings suggested that more attention should be paid to the population with severe tooth loss and the changes of their dietary quality.

Identification of a prognostic 28-gene expression signature for gastric cancer with lymphatic metastasis.

Gastric cancer (GC) patients have high mortality due to late-stage diagnosis, which is closely associated with lymph node metastasis. Exploring the molecular mechanisms of lymphatic metastasis may inform the research into early diagnostics of GC. In the present study, we obtained RNA-Seq data from The Cancer Genome Altas and used Limma package to identify differentially expressed genes (DEGs) between lymphatic metastases and non-lymphatic metastases in GC tissues. Then, we used an elastic net-regularized COX proportional hazard model for gene selection from the DEGs and constructed a regression model composed of 28-gene signatures. Furthermore, we assessed the prognostic performance of the 28-gene signature by analyzing the receive operating characteristic curves. In addition, we selected the gene PELI2 amongst 28 genes and assessed the roles of this gene in GC cells. The good prognostic performance of the 28-gene signature was confirmed in the testing set, which was also validated by GSE66229 dataset. In addition, the biological experiments showed that PELI2 could promote the growth and metastasis of GC cells by regulating vascular endothelial growth factor C. Our study indicates that the identified 28-gene signature could be considered as a sensitive predictive tool for lymphatic metastasis in GC.

[Prediction of Cadmium Content in the Leaves of Navel Orange in Heavy Metal Contaminated Soil Using VIS-NIR Reflectance Spectroscopy].

Visual and Near-infrared (VIS-NIR) reflectance spectroscopy had been used widely in monitoring agricultural pollution in recent years, however, it was rarely applied in monitoring the contamination of heavy metal in orchards. In the present paper, Newhall navel orange (Citrus sinensis [L.] Osbeck cv. Newhall) were cultivated in the potted soil contaminated with cadmium (Cd) at different levels, and the spectral reflectance and Cd content in the leaves were measured simultaneously at different growing seasons, which then were used to establish the prediction model by partial least squares regression (PLSR) based on spectral reflectance and by linear regression based on spectral index. The results showed that Cd was more easily transferred to and cumulated in the new leaves, and this phenomenon was more obvious in heavily contaminated soils with Cd. Blue shift in red edge was found in the band of 700-730 nm in the new leaves, however, no such phenomenon was found in the old leaves. The coefficient of determination (R²) of linear regression model based on spectral index was nearly 0. 8, while the PLSR model had a better result in predicting Cd content in the new leaves than the linear regression with R²CV of approximately 0.9. Furthermore, the standard normal variate transformation(SNV) in spectral preprocessing can improve the precision significantly in PLSR model. These results suggest that the VIS-NIR method has a great potential in monitoring heavy metal pollution in the navel orange.

A photoconductive charge-transfer crystal with mixed-stacking donor-acceptor heterojunctions within the lattice.

A pyrene derivative as the donor and a butyl-viologen as the acceptor were used to construct a novel charge-transfer cocrystal consisting of mixed-stacking structure and having switchable photoconductivity stemming from the donor-acceptor heterojunctions within the lattice.

[Quantitatively determining trace elements Co and Bi in gelatin by inductively coupled plasma atomic emission spectrometry method--applying IEC model to correct the spectral interference of Fe to Co].

By ICP-AES, the authors established the method to quantitatively determine the trace elements Co and Bi in gelatin. The authors processed the unknown sample with wet digesting method. Trace elements in gelatin could be quantitatively determined at the same time. To correct the spectral interference of Fe to Co at specific wavelength, the Interelement Correction(IEC) model was established. The results of the experiment showed that the IEC model could effectively erase the spectral interference of Fe to Co. The result of the spectral correction was greatly superior to the result where the spectral interference weren't corrected by the IEC model. The method was accurate, quick with high performance and wide linear range. The linear correlation coefficient of the tested elements was over 0.999 90. The relative standard deviation (RSD%) was less than 2.00%. The recovery rates were in the range of 98%-107%.

[A novel mutation causes congenital factor V deficiency].

OBJECTIVE: To investigate the gene defect in a hereditary coagulation factor V (FV) deficiency family. METHODS: The plasma FV actigen was measured by one-stage clotting assay. The FV antigen was assayed by Biotin-Avidin enzyme linked immunosorbent assay (BA-ELISA). The full length of exon 1 to exon 25 and the 5' untranslated sequence of FV genomic DNA were analyzed by polymerase chain reaction (PCR) and direct sequencing of the amplified fragments, meanwhile the defect was identified by T/A cloning sequencing. RESULTS: The plasma coagulant activity and amount of FV of the proband were marked deficient (1% and 1.54%, respectively). DNA sequence analysis for the proband revealed a causative mutation in a heterozygous status. It was one base pair deletion in exon 4 at nucleotide 675 inherited from her mother. CONCLUSIONS: A novel mutation in the FV gene was identified in the proband with congenital FV deficiency. The mutation was 675delA in exon 4 resulting in a frameshift and a premature termination codon.