Health risk assessment of drinking water in Ningbo City / 预防医学

Objective@#To evaluate the health risk of drinking water in Ningbo City, Zhejiang Province from 2021 to 2022, so as to provide insights into ensuring the safety of drinking water.@*Methods@#The monitoring data of drinking water from 2021 to 2022 in Ningbo City were collected from the Chinese Disease Prevention and Control Information System. The routine indicators and disinfectant indicators (radioactivity indicators were excluded) of drinking water were evaluated according to the reference limits issued by Standards for Drinking Water Quality (GB 5749-2006), and the qualification rates were calculated. The indicators with detection rate higher than 50% were selected, and assessed the carcinogenic and non-carcinogenic risks via drinking water using the risk assessment model recommended by the United States Environmental Protection Agency.@*Results@#A total of 1 678 samples were monitored in Ningbo City from 2021 to 2022. Sodium hypochlorite was the main disinfectant among 1 558 samples from centralized water supply (1 079 samples, 64.30%), and none of the 120 samples from decentralized water supply underwent disinfection treatment. The qualification rate of 88.38%, and the pollutants with a detection rate higher than 50% were nitrate, fluoride, trichloromethane and aluminum. The median carcinogenic risk value of trichloromethane was 2.964×10-6 (interquartile range, 3.909×10-6), and the median hazard quotient values of nitrate, fluoride, trichloromethane and aluminum were 1.631×10-2 (interquartile range, 1.361×10-2), 3.955×10-2 (3.164×10-2), 2.231×10-2 (2.942×10-2) and 2.136×10-4 (6.573×10-4), respectively.@*Conclusion@#The carcinogenic and non-carcinogenic risks through drinking water for 17 pollutants in drinking water of Ningbo City from 2021 to 2022 were at low levels.

Evaluation of excess mortality risk related to heat wave in Ningbofrom 2013 to 2018 / 预防医学

Objective @#To evaluate the excess mortality risk related to heat wave in Ningbo, Zhejiang from 2013 to 2018, so as to provide a basis for formulating coping strategies for heat wave.@*Methods @#The data of daily mortality, meteorological and air quality from May to October in Ningbo from 2013 to 2018 were obtained from Ningbo Center for Disease Control and Prevention, Ningbo Meteorological Bureau and Environmental Monitoring Center of Ningbo, respectively. The generalized linear model ( GLM ) and distributed lag non-linear model ( DLNM ) were used to estimate the associations between heat wave and cause-specific mortality. @*Results @#Among 1 104 days of the study period, 18 heat waves occured and lasted for 132 days, accounting for 11.96%. A total of 102 954 deaths were reported in the same period. The risks of mortality in circulatory system diseases ( RR=1.09, 95%CI: 1.03-1.16 ), respiratory system diseases ( RR=1.14, 95%CI: 1.04-1.25 ), digestive system diseases ( RR=1.38, 95%CI: 1.15-1.65 ), nervous system diseases ( RR=1.32, 95%CI: 1.08-1.61 ), mental disorders ( RR=1.51, 95%CI: 1.12-2.03 ) and accidental injury ( RR=1.18, 95%CI: 1.06-1.32 ) and all causes ( RR=1.10, 95%CI: 1.06-1.14 ) increased at lag 0-1 day of heat wave. The total excess death related to heat wave was 1 218 ( 95%CI: 731-1 705 ) . The excess deaths of circulatory system diseases, respiratory system diseases, accidental injury, digestive system diseases, nervous system diseases, mental disorders, urinary system diseases and endocrine system diseases were 313 ( 95%CI: 104-556 ), 206 ( 95%CI: 59-368 ), 164 ( 95%CI: 55-292 ), 122 ( 95%CI: 48-208 ), 69 ( 95%CI: 17-131 ), 56 ( 95%CI: 13-113 ), 18 ( 95%CI: -15-64 ) and 3 ( 95%CI: -51-72 ). The excess deaths of urinary system and endocrine system diseases was not statistically significant ( P>0.05 ). @*Conclusion @#Heat wave can increase the mortality risk on the day and after a day in Ningbo from 2013 to 2018. Circulatory system diseases, respiratory system diseases and accidental injury rank top three in excess deaths.

Assignment of human sprouty 4 gene to chromosome segment 5q32 approximately 33 and analysis of its pattern of expression.

The human sprouty 4 (SPRY4) gene was localized to chromosome band 5q32 approximately 33 by screening the Stanford radiation hybrid G3 panel using a SPRY4-specific primer pair for PCR. Northern blot analysis revealed two different mRNAs (5 kb and 2 kb) in liver, skeletal muscle, heart, lung, kidney, spleen, placenta and small intestine. Reverse transcriptase-PCR analysis showed that SPRY4 was expressed in all tested tissues to different levels.

Molecular cloning and characterization of a novel human kinase gene, PDIK1L.

We isolated a 4301-bp cDNA from a human foetal brain cDNA library by high-throughput cDNA sequencing. It encodes a protein of 341 amino acids, which shows 69% identity with the human kinase CLIK1 (AAL99353), which was suggested to be the CLP-36 interacting kinase. Bioinformatics analysis suggests that the putative kinase may interact with PDZ and LIM domain proteins. Therefore the protein and its cDNA were named 'PDLIM1 interacting kinase 1 like' (PDIK1L; nomenclature approved by the HUGO Gene Nomenclature Committee). Ensembl Genome Browser located PDIK1L to human chromosome 1p35.3. It spans about 13.7 kb and consists of four exons and three introns. Multiple-tissue cDNA panel PCR revealed that the gene is expressed widely in human tissues: liver, kidney, pancreas, spleen, thymus and prostate. The protein appears to be localized to the nucleus.