Real-time monitoring polymerization degree of organic photovoltaic materials toward no batch-to-batch variations in device performance.

Polymerization degree plays a vital role in material properties. Previous methodologies of molecular weight control generally cannot suppress or alleviate batch-to-batch variations in device performance, especially in polymer solar cells. Herein, we develop an in-situ photoluminescence system in tandem with a set of analysis and processing procedures to track and estimate the polymerization degree of organic photovoltaic materials. To support the development of this protocol, we introduce polymer acceptor PYT constructed by near-infrared Y-series small molecule acceptors via Stille polymerization, and shed light on the correlations between molecular weight, spectral parameters, and device efficiencies that enable the design of the optical setup and confirm its feasibility. The universality is verified in PYT derivatives with stereoregularity and fluoro-substitution as well as benzo[1,2-b:4,5-b']dithiophene-based polymers. Overall, our result provides a tool to tailor suitable conjugated oligomers applied to polymer solar cells and other organic electronics for industrial scalability and desired cost reduction.

Potential effects of SARS-CoV-2 on the gastrointestinal tract and liver.

COVID-19 is a pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Early reported symptoms include fever, cough, and respiratory symptoms. There were few reports of digestive symptoms. However, with COVID-19 spreading worldwide, symptoms such as vomiting, diarrhoea, and abdominal pain have gained increasing attention. Research has found that angiotensin-converting enzyme 2 (ACE2), the SARS-CoV-2 receptor, is strongly expressed in the gastrointestinal tract and liver. Whether theoretically or clinically, many studies have suggested a close connection between COVID-19 and the digestive system. In this review, we summarize the digestive symptoms reported in existing research, discuss the impact of SARS-CoV-2 on the gastrointestinal tract and liver, and determine the possible mechanisms and aetiology, such as cytokine storm. In-depth exploration of the relationship between COVID-19 and the digestive system is urgently needed.

[Value of S100A8 in evaluating the prognosis of children with acute lymphoblastic leukemia].

OBJECTIVE: To study the association between S100A8 expression and prognosis in children with acute lymphoblastic leukemia (ALL). METHODS: The clinical data of 377 children with ALL who were treated with the CCLG-2008-ALL regimen were retrospectively reviewed. ELISA and PCR were used to measure serum protein levels and mRNA expression of S100A8. The Kaplan-Meier method was used for survival analysis and a Cox regression analysis was also performed. RESULTS: The children were followed up for 56 months, and the overall survival rate of the 377 children was 89.1%. The prednisone good response group had significantly lower S100A8 protein and mRNA levels than the prednisone poor response group (P<0.01). In the children with standard or median risk, both S100A8 protein and mRNA levels were associated with event-free survival rate (P<0.05). There were significant differences in S100A8 protein and mRNA levels between the children with different risk stratifications (P<0.01). The children who experienced events had significantly higher S100A8 protein and mRNA levels than those who did not (P<0.01). The Kaplan-Meier survival analysis and the Cox regression model suggested that S100A8 overexpression was an independent risk factor for the prognosis of children with ALL. CONCLUSIONS: High S100A8 expression may be associated with the poor prognosis of children with ALL and is promising as a new marker for individualized precise treatment of children with ALL.

PBX1 attributes as a determinant of connexin 32 downregulation in Helicobacter pylori-related gastric carcinogenesis.

AIM: To clarify the mechanisms of connexin 32 (Cx32) downregulation by potential transcriptional factors (TFs) in Helicobacter pylori (H. pylori)-associated gastric carcinogenesis. METHODS: Approximately 25 specimens at each developmental stage of gastric carcinogenesis [non-atrophic gastritis, chronic atrophic gastritis, intestinal metaplasia, dysplasia and gastric carcinoma (GC)] with H. pylori infection [H. pylori (+)] and 25 normal gastric mucosa (NGM) without H. pylori infection [H. pylori (-)] were collected. After transcriptional factor array analysis, the Cx32 and PBX1 expression levels of H. pylori-infected tissues from the developmental stages of GC and NGM with no H. pylori infection were measured by real-time polymerase chain reaction (RT-PCR) and Western blot analysis. Regarding H. pylori-infected animal models, the Cx32 and PBX1 mRNA expression levels and correlation between the gastric mucosa from 10 Mongolian gerbils with long-term H. pylori colonization and 10 controls were analyzed. PBX1 and Cx32 mRNA and protein levels were further studied under the H. pylori-infected condition as well as PBX1 overexpression and knockdown conditions in vitro. RESULTS: Incremental PBX1 was first detected by TF microarray in H. pylori-related gastric carcinogenesis. The identical trend of PBX1 and Cx32 expression was confirmed in the developmental stages of H. pylori-related clinical specimens. The negative correlation of PBX1 and Cx32 was confirmed in H. pylori-infected Mongolian gerbils. Furthermore, decreased PBX1 expression was detected in the normal gastric epithelial cell line GES-1 with H. pylori infection. Enforced overexpression or RNAi-mediated knockdown of PBX1 contributed to the diminished or restored Cx32 expression in GES-1 and the gastric carcinoma cell line BGC823, respectively. Finally, dual-luciferase reporter assay in HEK293T cells showed that Cx32 promoter activity decreased by 30% after PBX1 vector co-transfection, indicating PBX1 as a transcriptional downregulator of Cx32 by directly binding to its promoters. CONCLUSION: PBX1 is one of the determinants in the Cx32 promoter targeting site, preventing further damage of gap junction protein in H. pylori-associated gastric carcinogenesis.

Induction of melasma by 1064-nm Q-switched neodymium:yttrium-aluminum-garnet laser therapy for acquired bilateral nevus of Ota-like macules (Hori nevus): A study on related factors in the Chinese population.

Laser treatment has emerged as a common treatment modality for acquired bilateral nevus of Ota-like macules (ABNOM). To identify the ratio of melasma induction and exacerbation before and after laser therapy for ABNOM and to observe the risk factors related to the induction and exacerbation of melasma by laser therapy, we analyzed related factors of 1268 adult Chinese patients who underwent 1064-nm Q-switched neodymium:yttrium-aluminum-garnet (Nd:YAG) laser (QNYL) treatment using case series and case-control studies. Overall, 24.0% of the ABNOM patients had mixed melasma. Among the ABNOM patients without melasma, after laser therapy the development of melasma was more frequently noted in patients older than 35 years (P < 0.0001), as well in patients whose ABNOM was less than 10 cm(2) (P = 0.027), ABNOM were light (similar to yellow-brown) in color (P = 0.021) and skin types were closer to type IV (P < 0.0001). New melasma lesions also appeared most frequently in the zygomatic region (P < 0.0001). Among the ABNOM patients with melasma, 89.5% experienced worsening of their melasma, irrespective of their related factors above. We concluded that the risk of inducing melasma is great after 1064-nm QNYL treatment in ABNOM patients, and particularly in the patients with both ABNOM and melasma. ABNOM patients should be treated as early as possible and before the age of 35 years.

Polymorphism of ORM1 is associated with the pharmacokinetics of telmisartan.

BACKGROUND: The pharmacokinetics (PKs) and pharmacodynamics (PDs) of telmisartan varies among the individuals, and the main causes remain unknown. The aim of this study was to evaluate the impact of ORM1, as well as ABCC2, ABCB1, ABCG2 and SLCO1B3 polymorphisms, on the disposition of the drug and BP change after taking 40 mg telmisartan in 48 healthy Chinese males. METHOD: A total of 48 healthy males were included in this trial. Every volunteer ingested a single dose of 40 mg telmisartan, and the plasma drug concentration and blood pressure (BP) were measured up to 48 h. RESULT: In this study, the area under the plasma concentration-time curve (AUC) in the heterozygotes of ORM1 113AG was higher than that in the wild-type homozygotes, AUC(0-48) (113AA vs. 113AG, 1,549.18±859.84 ng·h/ml vs. 2,313.54±1,257.71 ng·h/ml, P = 0.033), AUC(0-∞) (113AA vs. 113AG, 1,753.13±1,060.60 ng·h/ml vs. 2,686.90±1,401.87 ng·h/ml, P = 0.016), and the change(%) of the diastolic blood pressure (DBP) from the baseline BP value also showed a significant difference between the ORM1 113AG and 113AA genotypes at 5 h after taking telmisartan (P = 0.026). This study also showed that the allele of ABCC2 C3972T would affected the disposition of telmsiartan and the DBP change significantly after taking the drug. However, the common SNPs of ABCG2 C421, ABCB1 C3435T, and SLCO1B3 T334G showed no impacts on the PKs of telmisartan or BP change(%) in our trial. CONCLUSION: The ORM1 A113G polymorphism was associated with the PKs variability after taking telmsiartan, as well as ABCC2 C3972T. The heterozygotes of ORM1 113AG showed a larger AUC and a notable BP change(%) from the baseline compared with the wild-type. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR-TNC-10000898.

Association of plasma epinephrine level with insulin sensitivity in metabolically healthy but obese individuals.

In the present study, we explored the association of catecholamines with insulin sensitivity in "metabolically healthy but obese" (MHO) individuals, by examining the metabolic characteristics and plasma catecholamine levels in 100 obese, sedentary postmenopausal women. Subjects were classified as MHO (n=25) or at-risk (n=25) based on the upper and lower quartiles of insulin sensitivity as measured by the hyperinsulinemic-euglycemic clamp technique. The MHO group presented a significantly higher range of plasma epinephrine levels (73 ± 21 pg/mL) than the at-risk group (39 ± 20 pg/mL) (P<0.05), though both within the normal basal range of plasma epinephrine (56 ± 30 pg/mL). Multivariate regression analysis showed that high-sensitivity C-reactive protein, plasma epinephrine, triglycerides and lean body mass index were independent predictors of glucose disposal. The plasma epinephrine level was positively correlated with the glucose disposal rate, insulin sensitivity and the HDL-cholesterol level, and negatively correlated with the triglycerides level (P<0.05). In conclusion, this study for the first time demonstrates a positive association between plasma epinephrine level and insulin sensitivity in MHO individuals.

Rifampicin alters atorvastatin plasma concentration on the basis of SLCO1B1 521T>C polymorphism.

BACKGROUND: Both atorvastatin and rifampicin are substrates of OATP1B1 (organic anion transporting polypeptide 1B1) encoded by SLCO1B1 gene. Rifampicin is a potent inhibitor of SLCO1B1 (IC50 1.5 umol/l) and SLCO1B1 521T>C functional genetic polymorphism alters the kinetics of atorvastatin in vivo. We hypothesize that rifampicin might influence atorvastatin kinetics in a SLCO1B1 polymorphism dependent manner. METHODS: Sixteen subjects with known SLCO1B1 genotypes (6 c.521TT, 6 c.521TC and 4 c.521CC) were divided into 2 groups (atorvastatin-placebo group, n=8; atorvastatin-rifampicin group, n=8) randomly. In this 2-phase crossover study, atorvastatin (40 mg single-oral dose) pharmacokinetics after co-administration of placebo and rifampicin (600 mg single-oral dose) were measured for up to 48 h by liquid chromatography-mass spectrometry (LC-MS). In the third phase, rifampicin (450 mg single-oral dose) pharmacokinetics was measured additionally. RESULTS: Rifampicin increased atorvastatin plasma concentration in accordance with SLCO1B1 521T>C genotype while the increasing percentage of AUC((0-48)) among c.521TT, c.521TC and c.521CC individuals were 833+/-245% vs 468+/-233% vs 330+/-223% (P=0.007). However, SLCO1B1 521T>C exerted no impact on rifampicin pharmacokinetics (P>0.05). CONCLUSIONS: These results suggested that rifampicin elevated the plasma concentration of atorvastatin depending on SLCO1B1 genotype and rifampicin pharmacokinetics were not altered by SLCO1B1 genotype.

OATP1B1 polymorphism is a major determinant of serum bilirubin level but not associated with rifampicin-mediated bilirubin elevation.

1. Elevated serum bilirubin levels are caused mainly by liver diseases, haematolysis, genetic defects and drug intake. Unconjugated bilirubin (UCB) is taken up into hepatocytes by human organic anion transporting polypeptide 1B1 (OATP1B1; encoded for by the SLCO1B1 gene). The present study was performed to determine the association between SLCO1B1 gene polymorphisms and serum bilirubin levels in vivo. Moreover, the effects of administration of low-dose rifampicin on serum bilirubin levels in different SLCO1B1 genotypes was examined. 2. Serum bilirubin levels were examined in 42 healthy volunteers who had been analysed for SLCO1B1 genotype (seven, 13, 14 and eight with SLCO1B1 genotypes *1a/*1a, *1b/*1b, *1b/*15 and *15/*15, respectively). Among them, 24 subjects (seven, seven, eight and two with SLCO1B1 genotypes *1a/*1a, *1b/*1b, *1b/*15 and *15/*15, respectively) were selected to participate in an open-label, two-phase clinical trial. Each was given 450 mg rifampicin orally once daily at 2000 hours for 5 consecutive days. Serum bilirubin concentrations at 0800 hours on the 1st and 6th days were compared between the different SLCO1B1 genotypes. 3. In the 42 volunteers, the mean (+/-SD) serum UCB in both SLCO1B1*1b/*15 and *15/*15 groups was significantly higher than that in the SLCO1B1*1b/*1b group (11.07 +/- 2.31, 13.01 +/- 3.87 and 8.21 +/- 2.68 micromol/L, respectively; P = 0.009 and P < 0.001). Total bilirum (T.BIL) in both the SLCO1B1*1b/*15 and *15/*15 groups was significantly higher than that in the SLCO1B1*1b/*1b group (16.69 +/- 4.09, 20.71 +/- 5.12 and 13.06 +/- 5.12 micromol/L, respectively; P = 0.029 and P < 0.001). The direct bilirubin (D.BIL) in the SLCO1B1*15/*15 group was significantly higher than that in the SLCO1B1*1b/*1b group (7.69 +/- 1.81 vs 4.85 +/- 1.81 micromol/L, respectively; P = 0.001). Rifampicin significantly increased UCB, T.BIL and D.BIL concentrations in 24 healthy volunteers (17.68 +/- 5.96 vs 13.95 +/- 4.44 micromol/L (P = 0.040), 5.72 +/- 2.01 vs 4.35 +/- 1.50 micromol/L (P = 0.028) and 12.00 +/- 4.26 vs 9.61 +/- 3.15 micromol/L (P = 0.035), respectively). However, the extent of the increase in serum bilirubin caused by 450 mg rifampicin for 5 days was not affected by SLCO1B1 genotype. 4. Genetic polymorphism in SLCO1B1 is a major determinant of interindividual variability in the serum bilirubin level. SLCO1B1*15 carriers had higher baseline serum UCB, T.BIL and D.BIL levels compared with subjects with the SLCO1B1*1a/*1a and SLCO1B1*1b/*1b genotypes. SLCO1B1*15/*15 homozygotes are more susceptible to hyperbilirubinaemia. Serum bilirubin levels could be increased by low-dose rifampicin administration, but the extent of the increase was not associated with SLCO1B1 genotype.

Organic anion transporting polypeptide-1B1 haplotypes in Chinese patients.

AIM: To detect 388G>A and 521T>C variant alleles in the organic anion transporting polypeptide-1B1 (OATP1B1, encoding gene SLCO1B1) gene. METHODS: One hundred and eleven healthy volunteers were screened for OATP1B1 alleles in our study. PCR-restriction fragment length polymorphism was used to identify the 388G>A polymorphism and a 1-step tetra-primer method was developed for the determination of 521T>C mutation. RESULTS: The frequencies of the 388G>A and 521T>C variant alleles in the Chinese population were 73.4% and 14.0%, respectively. The frequencies of the SLCO1B1*1b and *15 haplotypes were 59.9% and 14.0%, respectively. CONCLUSION: The SLCO1B1*1b and SLCO1B1*15 variants are relatively common in the Chinese population. Their frequencies are similar to that in the Japanese, but significantly different from that in Caucasians and blacks.

SLCO1B1 521T-->C functional genetic polymorphism and lipid-lowering efficacy of multiple-dose pravastatin in Chinese coronary heart disease patients.

AIMS: Pravastatin is a 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitor, which is widely used both in primary and secondary prevention of coronary heart disease (CHD). Pravastatin is not subject to metabolism by cytochrome P450s, but it is actively transported from blood into target tissues (e.g. hepatocytes in the liver) by the organic anion transporting polypeptide 1B1 (OATP1B1), encoded by SLCO1B1. The aim of the present study was to evaluate the impact of SLCO1B1 521T-->C (Val174Ala) functional genetic polymorphism on the lipid-lowering efficacy of multiple-dose pravastatin in Chinese patients with CHD. METHODS: Forty-five hospitalized patients with CHD prospectively received pravastatin as a single-agent therapy (20 mg day(-1) p.o.) for 30 days. Serum triglycerides, total cholesterol, low-density lipoprotein-cholesterol and high-density lipoprotein-cholesterol concentrations were determined before and after pravastatin treatment. RESULTS: Pravastatin treatment significantly decreased plasma lipids in all patients (P < 0.001). Importantly, we showed an attenuated pravastatin pharmacodynamic effect on total cholesterol in patients with 521TC heterozygote genotype (from 5.52 +/- 0.51 mmol l(-1) to 4.70 +/- 0.35 mmol l(-1), % change -14.5 +/- 6.6%, N = 9) compared with 521TT homozygote genotype (from 5.47 +/- 1.15 mmol l(-1) to 4.21 +/- 0.89 mmol l(-1), % change -22.4 +/- 10.3%, N = 36) (mean +/- SD, P = 0.03, two-tailed test with alpha set at 5%). SLCO1B1 521T-->C functional polymorphism did not significantly influence pravastatin pharmacodynamics on other plasma lipids (P > 0.05). CONCLUSIONS: The 521T-->C polymorphism of SLCO1B1 appears to modulate significantly the total cholesterol-lowering efficacy of pravastatin in Chinese patients with CHD. Further studies are warranted to determine the extent to which SLCO1B1 genetic variation may contribute to resistance to pravastatin in Asian patients treated with standard doses of pravastatin.

[Artificial neural network in the prediction of nosocomial infection risk].

OBJECTIVE: To establish a model based on artificial neural network in the prediction of nosocomial infection risk. METHODS: Clinical data of 27,352 inpatients extracted from hospital information system were cleaned and coded, and the model of prediction in nosocomial infection risk was developed based on artificial neural network. RESULTS: The structure of artificial neural network is {16-6-1}-BP, and the fit rate of prediction was 0.9891. The area under ROC curve was 0.986. CONCLUSION: Artificial neural network model can be used as a tool for nosocomial infection forecasting, which can provide supplementary information for the diagnosis and control of nosocomial infection.