Background Air pollution is a major public health concern. Air Quality Health Index (AQHI) is a very important air quality risk communication tool. However, AQHI is usually constructed by single-pollutant model, which has obvious disadvantages. Objective To construct an AQHI based on the joint effects of multiple air pollutants (J-AQHI), and to provide a scientific tool for health risk warning and risk communication of air pollution. Methods Data on non-accidental deaths in Yunnan, Guangdong, Hunan, Zhejiang, and Jilin provinces from January 1, 2013 to December 31, 2018 were obtained from the corresponding provincial disease surveillance points systems (DSPS), including date of death, age, gender, and cause of death. Daily meteorological (temperature and relative humidity) and air pollution data (SO₂, NO₂, CO, PM_2.5, PM₁₀, and maximum 8 h O₃ concentrations) at the same period were respectively derived from China Meteorological Data Sharing Service System and National Urban Air Quality Real-time Publishing Platform. Lasso regression was first applied to select air pollutants, then a time-stratified case-crossover design was applied. Each case was matched to 3 or 4 control days which were selected on the same days of the week in the same calendar month. Then a distributed lag nonlinear model (DLNM) was used to estimate the exposure-response relationship between selected air pollutants and mortality, which was used to construct the AQHI. Finally, AQHI was classified into four levels according to the air pollutant guidance limit values from World Health Organization Global Air Quality Guidelines (AQG 2021), and the excess risks (ERs) were calculated to compare the AQHI based on single-pollutant model and the J-AQHI based on multi-pollutant model. Results PM_2.5, NO₂, SO₂, and O₃ were selected by Lasso regression to establish DLNM model. The ERs for an interquartile range (IQR) increase and 95% confidence intervals (CI) for PM_2.5, NO₂, SO₂ and O₃ were 0.71% (0.34%–1.09%), 2.46% (1.78%–3.15%), 1.25% (0.9%–1.6%), and 0.27% (−0.11%–0.65%) respectively. The distribution of J-AQHI was right-skewed, and it was divided into four levels, with ranges of 0-1 for low risk, 2-3 for moderate risk, 4-5 for high health risk, and ≥6 for severe risk, and the corresponding proportions were 11.25%, 64.61%, 19.33%, and 4.81%, respectively. The ER (95%CI) of mortality risk increased by 3.61% (2.93–4.29) for each IQR increase of the multi-pollutant based J-AQHI , while it was 3.39% (2.68–4.11) for the single-pollutant based AQHI . Conclusion The J-AQHI generated by multi-pollutant model demonstrates the actual exposure health risk of air pollution in the population and provides new ideas for further improvement of AQHI calculation methods.

OBJECTIVE: To explore the correlation between Fragile X mental retardation gene-1 (FMR1) gene CGG repeats with diminished ovarian reserve (DOR). METHODS: For 214 females diagnosed with DOR, DNA was extracted from peripheral blood samples. FMR1 gene CGG repeats were determined by PCR and capillary electrophoresis. RESULTS: Three DOR patients were found to carry FMR1 premutations, and one patient was found to carry gray zone FMR1 repeats. After genetic counseling, one patient and the sister of another patient, both carrying FMR1 permutations, conceived naturally. Prenatal diagnosis showed that both fetuses have carried FMR1 permutations. CONCLUSION FMR1 gene permutation may be associated with DOR. Determination of FMR1 gene CGG repeats in DOR patients can provide a basis for genetic counseling and guidance for reproduction.
Female ; Fragile X Mental Retardation Protein/metabolism* ; Fragile X Syndrome/genetics* ; Humans ; Ovarian Diseases ; Ovarian Reserve/genetics* ; Primary Ovarian Insufficiency/genetics* ; Trinucleotide Repeats/genetics*

Lung cancer is currently one of the most common malignant tumors in the world. The occurrence and development of lung cancer, especially non-small cell lung cancer (NSCLC), are closely related to the abnormal expression of long non-coding RNA (lncRNA). lncRNA with a transcript of more than 200 nucleotides is involved in chromatin modification, transcription activation, transcription interference and other regulatory processes, and has varying degrees of regulation on the proliferation, migration, and invasion of tumor cells. It is characterized by up-regulation or down-regulation of expression. At present, there are a large number of studies on lncRNA, because lncRNA has considerable application prospects in the diagnosis, clinical treatment, drug resistance research and prognosis evaluation of NSCLC. In this paper, the overview of lncRNA, the up-regulation or down-regulation of NSCLC-related lncRNA expression, NSCLC clinical treatment and drug-resistant lncRNA were summarized.

Objective To assess the imported risk of COVID-19 in Guangdong province and its cities, and conduct early warning. Methods Data of reported COVID-19 cases and Baidu Migration Index of 21 cities in Guangdong province and other provinces of China as of February 25, 2020 were collected. The imported risk index of each city in Guangdong province were calculated, and then correlation analysis was performed between reported cases and the imported risk index to identify lag time. Finally, we classified the early warming levels of epidemic by imported risk index. Results A total of 1 347 confirmed cases were reported in Guangdong province, and 90.0% of the cases were clustered in the Pearl River Delta region. The average daily imported risk index of Guangdong was 44.03. Among the imported risk sources of each city, the highest risk of almost all cities came from Hubei province, except for Zhanjiang from Hainan province. In addition, the neighboring provinces of Guangdong province also had a greater impact. The correlation between the imported risk index with a lag of 4 days and the daily reported cases was the strongest (correlation coefficient: 0.73). The early warning base on cumulative 4-day risk of each city showed that Dongguan, Shenzhen, Zhongshan, Guangzhou, Foshan and Huizhou have high imported risks in the next 4 days, with imported risk indexes of 38.85, 21.59, 11.67, 11.25, 6.19 and 5.92, and the highest risk still comes from Hubei province. Conclusions Cities with a large number of migrants in Guangdong province have a higher risk of import. Hubei province and neighboring provinces in Guangdong province are the main source of the imported risk. Each city must strengthen the health management of migrants in high-risk provinces and reduce the imported risk of Guangdong province.

Objective: To evaluate the exported risk of novel coronavirus pneumonia (NCP) from Hubei Province and the imported risk in various provinces across China. Methods: Data of reported NCP cases and Baidu Migration Indexin all provinces of the country as of February 14, 2020 were collected. The correlation analysis between cumulative number of reported cases and the migration index from Hubei was performed, and the imported risks from Hubei to different provinces across China were further evaluated. Results: A total of 49 970 confirmed cases were reported nationwide, of which 37 884 were in Hubei Province. The average daily migration index from Hubei to other provinces was 312.09, Wuhan and other cities in Hubei were 117.95 and 194.16, respectively. The cumulative NCP cases of provinces was positively correlated with the migration index derived from Hubei province, also in Wuhan and other cities in Hubei, with correlation coefficients of 0.84, 0.84, and 0.81. In linear model, population migration from Hubei Province, Wuhan and other cities in Hubei account for 71.2%, 70.1%, and 66.3% of the variation, respectively. The period of high exported risk from Hubei occurred before January 27, of which the risks before January 23 mainly came from Wuhan, and then mainly from other cities in Hubei. Hunan Province, Henan Province and Guangdong Province ranked the top three in terms of cumulative imported risk (the cumulative risk indices were 58.61, 54.75 and 49.62 respectively). Conclusion The epidemic in each province was mainly caused by the importation of Hubei Province. Taking measures such as restricting the migration of population in Hubei Province and strengthening quarantine measures for immigrants from Hubei Province may greatly reduce the risk of continued spread of the epidemic.

Objective To compare the epidemiological characteristics of COVID-19 in Guangzhou and Wenzhou, and evaluate the effectiveness of their prevention and control measures. Methods Data of COVID-19 cases reported in Guangzhou and Wenzhou as of 29 February, 2020 were collected. The incidence curves of COVID-19 in two cities were constructed. The real time reproduction number ( R t ) of COVID-19 in two cities was calculated respectively. Results A total of 346 and 465 confirmed COVID-19 cases were analysed in Guangzhou and Wenzhou, respectively. In two cities, most cases were aged 30-59 years (Guangzhou: 54.9%; Wenzhou: 70.3%). The incidence curve peaked on 27 January, 2020 in Guangzhou and on 26 January, 2020 in Wenzhou, then began to decline in both cities. The peaks of imported COVID-19 cases from Hubei occurred earlier than the peak of COVID-19 incidences in two cities, and the peak of imported cases from Hubei occurred earlier in Wenzhou than in Guangzhou. In early epidemic phase, imported cases were predominant in both cities, then the number of local cases increased and gradually took the dominance in Wenzhou. In Guangzhou, the imported cases was still predominant. Despite the different epidemic pattern, the R t and the number of COVID-19 cases declined after strict prevention and control measures were taken in Guangzhou and in Wenzhou. Conclusion The time and scale specific differences of imported COVID-19 resulted in different epidemic patterns in two cities, but the spread of the disease were effectively controlled after taking strict prevention and control measures.

Objective To explore the application of single-solution focused approach on nursing intern team in Emergency Department.Methods We selected ninety nursing interns from the period of January to December 2013, and intervene by single-solution focused approach.The nursing scale of learning organization had been utilized and compared and analyzed the differences between before and after intervention.The intervention model had been assessed.Results After intervention, ninety interns acquired (80.31 ±4.68) score for nursing scale of learning organization, which was beyond the score of before intervention (74.30 ±3.92) (t=6.26,P <0.05).The global consciousness and strategic leadership, team cooperation and innovation, advocate dialogue and communication and investigation achieved [(23.12 ±4.28),(24.54 ±3.12),(26.05 ± 2.55) and (11.03 ±2.40) respectively] after intervention, which all of them were higher than those score of before intervention [(21.36 ±3.90),(20.79 ±2.56),(23.44 ±3.24) and (9.78 ±2.34) respectively] (t=2.44,4.98,3.19,2.12, respectively; P <0.05).Conclusions The model of single-solution focused approach on nursing intern team in Emergency Department could improve nurses’ team learning capability and construct learning organization better.

ObjectiveTo investigate the expression of Ezrin and inducible nitric oxide synthase (iNOS) and their correlation to malignant proliferation of colonic adenoma. MethodExpressions of Ezrin,iNOS and nuclear Ki-67 antigen were detected by immunohistochemistry in tubular adenoma (60 cases),villous adenoma(40 cases) and malignant (30 cases ) pleomorphic adenoma. ResultsExpressions of Ezrin,iNOS in tubular adenoma [58.3％ (35/60), 50.0％ (30/60)], villous adenoma [72.5％ (29/40), 70.00(28/40)]and malignant pleomorphic adenoma [96.7％(29/30),93.3％(28/30)]were gradually increased ( X2 = 11.600,P = 0.005; X2 = 8.451, P = 0.015 ). There was a significant positive correlation between the expression of Ezrin and iNOS (r = 0.765, P ＜ 0.01 ). Nuclear Ki-67 antigen proliferation index was increased with the increasing of Ezrin and iNOS expressions. ConclusionOverexpression of Ezrin and iNOS may promote proliferation and malignant transformation of colonic adenoma.

Objective To study the chemical constituents from the aerial parts of Anabasis aphylla.Methods The chemical constituents were isolated and purified by silica gel column and Sephadex LH-20 column chromatography.Spectroscopic methods such as MS and NMR spectra were used for the structural identification.Results A new caffeate ester, named eicosyl-(Z)-caffeate (1), along with fourteen known compounds was isolated from the EtOAc part.Conclusion Compound 1 is a new compound and compounds 2-13 are isolated from the plants of Anabasis L.for the first time.

The investigation on the chemical constituents of Anabasis aphylla L. was carried out by using various chromatographies, such as silica gel, Sephadex LH-20 and RP-C18 column chromatography. Further detailed investigation on the fraction of the ethanol extract of Anabasis aphylla L. yielded one new compound p-acetyl-phenol 1-O-beta-D-xylopyranosyl-(1-->2)-beta-D-glucopyranoside (1), together with five known compounds: piceine (2), isorhamnetin (3), quercetin (4), rutin (5) and isorhamnetin-3-rutinoside (6). Their structures were elucidated by spectral analysis such as NMR and MS. Among these compounds, compounds 2-6 were isolated from this plant for the first time.