Objective To find the differentially expressed long non-coding RNA (lncRNA) between db/db mice that with nephropathy (DN) or not (DM).Methods In this study,3 DM db/db mice and 2 DN db/db mice proven by renal biopsy were randomly selected,and 3 healthy db/m mice as normal control group.Then,differentially expressed lncRNAs,mRNAs and their fragments per kilobase million (FPKM) in kidney samples were detected by high-throughput next generation sequencing technology.Sequencing data were analyzed to filter out the differentially expressed lncRNA,and theirfunction was preliminarily investigated by bioinformatics analysis and functional enrichment analysis to predict their target genes.Total RNAs of kidneys from these 8 mice were extracted to run real time PCR (RT-qPCR) for verifying the outcomes of the high-throughput sequencing.Results The urinary microalbumin/creatinine ratio (UACR),serum creatinine,and glomerular basement membrane thickness of DN db/db mice were higher than those of DM db/db mice (all P ＜ 0.05),while there was not significant difference in glucose between DM and DN mice.Totally 160 lncRNAs were up-regulated and 99 lncRNAs were down-regulated in kidneys of DN mice compared with those of DM mice,in which the differentially expressed lncRNAs with FPKM value≥2 and differential expression≥ 1 fold between groups were screened and verified by RT-qPCR.Finally three lncRNAs whose variation trend were consistent with the outcomes of the high-throughput sequencing were obtained.Conclusion There was a significantly different expression pattern of lncRNA between the kidneys of DN and DM mice,which may be involved in the progress of DN.

Objectives:To investigate the association between social determinants of health(SDOH)and incident stroke and analyze the main risk factors for stroke among resident with different SDOH levels. Methods:From 2012 to 2015,30 036 residents(≥35 years old)from 30 districts in 14 provincial-level administrative divisions in China were enrolled this study based on stratified multi-stage-random-sampling method.The prevalence of cardiovascular diseases and related risk factors were investigated,and stroke events were followed up in 2018 to 2019.Principal component analysis was performed to establish SDOH scores based on 9 indicators related to socioeconomic and healthcare resources,participants were divided into low SDOH group(n=8 343)when it was≥-2.01 to<-1.14,middle SDOH group(n=7 257)when it was≥-1.14 to<0.10,and high SDOH group(n=8 457)when it was≥0.10 to≤5.79.Multivariate Cox regression was applied to estimate the association of SDOH levels with incident stroke.The random survival forest method was used to analyze the major risk factors in different SDOH levels. Results:A total of 24 057 participants were finally included,669(2.8%)participants developed stroke during a mean of(4.7±0.8)years follow-up.The incidence densities of stroke in the low,medium,and high SDOH groups were 468.39,628.85,and 700.39/100 000 person-years,respectively(Pdifference<0.05,Ptrend=0.01).Compared with individuals with low SDOH level group,fully HR for incident stroke among those with medium and high were 1.91(95%CI:1.54-2.36)and 1.59(95%CI:1.30-1.95),respectively(Ptrend<0.001).Advanced age is the primary risk factor for stroke in the population,especially in districts with high SDOH level.In districts with medium SDOH level,diabetes is an important risk factor for stroke.High blood pressure and alcohol consumption are important modifiable risk factors in low SDOH level districts. Conclusions:Present study shows that higher levels of SDOH are associated with increased risk of stroke.The main risk factors for stroke differ among participants with different SDOH level districts.Targeted interventions should be implemented to improve the prevention and treatment of stroke in populations with different levels of SDOH.

Tyrosol is a natural polyphenolic product that is widely used in chemical, pharmaceutical and food industries. Currently, the de novo synthesis of tyrosol by Escherichia coli suffers from issues such as low cell density and poor yield. Therefore, the phenylpyruvate decarboxylase mutant ARO10^F138L/D218G obtained in our previous study was fused with an alcohol dehydrogenase from different microorganisms for fusion expression, and the optimal ARO^{10F138L/D218G}-L-YahK produced 1.09 g/L tyrosol in shake flasks. In order to further improve tyrosol production, feaB, a key gene in the competing pathway of 4-hydroxyphenylacetic acid, was knocked out, and the resulted strain produced 1.26 g/L tyrosol with an increase of 21.15% compared to that of the control. To overcome the low cell density in tyrosol fermentation, the quorum-sensing circuit was used to dynamically regulate the tyrosol synthesis pathway, so as to alleviate the toxic effect of tyrosol on chassis cells and relieve the growth inhibition. Using this strategy, the yield of tyrosol was increased to 1.74 g/L, a 33.82% increase. In a 2 L fermenter, the production of tyrosol in the engineered strain TRFQ5 dynamically regulated by quorum-sensing reached 4.22 g/L with an OD₆₀₀ of 42.88. Compared with those in the engineered strain TRF5 statically regulated by induced expression, the yield was increased by 38.58% and the OD₆₀₀ was enhanced by 43.62%. The combination of blocking the competing pathway using gene knockout technology, and reducing the inhibitory effect of tyrosol toxicity on chassis cells through quorum-sensing dynamic regulation increased the production of tyrosol. This study may facilitate the biosynthesis of other chemicals with high toxicity.
Escherichia coli/genetics* ; Biological Products ; Bioreactors ; Fermentation