Objective To quantitatively assess the association of short-term exposure to polycyclic aromatic hydrocarbons (PAHs) in ambient fine particulate matter (PM2.5) with residents mortality. Methods A time-stratified case-crossover study was conducted from 2020 to 2022 among 10606 non-accidental residents by using the Guangzhou Cause of Death Surveillance System in Conghua District, Guangzhou. Exposure levels of PAHs in PM_2.5 and meteorological data during the study period were obtained from the Center for Disease Control and Prevention in Conghua District and the China Meteorological Administration Land Data Assimilation System (CLDAS-V2.0), respectively. Conditional Poisson regression model was used to estimate the exposure-response association between PAHs and the mortality risk. Results Fluoranthene, chrysene, benzo[k]fluoranthene, benzo[a]pyrene, and indeno[1,2,3-cd]pyrene were significantly associated with an increased risk of mortality. For every one interquartile range increase in exposure levels, the non-accidental mortality risks increased by 8.33% (95% CI: 1.80%, 15.27%), 4.67% (95% CI: 1.86%, 7.57%), 6.07% (95% CI: 2.08%, 10.21%), 4.62% (95% CI: 1.85%, 7.47%), and 4.70% (95% CI: 0.53%, 9.03%), respectively. The estimated non accidental deaths attributable to exposure to fluoranthene, chrysene, benzo[k]fluorine, benzo[a]pyrene and indine[1,2,3-cd]pyrene were 5.91%, 6.08%, 6.51%, 6.46%, and 4.21%, respectively. Conclusions Short-term exposure to PAHs in PM_2.5, including fluoranthene, chrysene, benzo[k]fluoranthene, benzo[a]pyrene and indine[1,2,3-cd]pyrene, was significantly associated with an increased risk of mortality among residents.

Background Exposure to air pollutants increases the risk of diseases in multiple systems, including respiratory and cardiovascular systems, yet its association with neurological diseases remains unclear. Objective To quantitatively evaluate the association between short-term exposure to air pollutants and outpatient and emergency visits for neurological diseases, identify potential susceptible populations, and quantify associated disease burden. Methods Daily 24-hour average concentrations of fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), and carbon monoxide (CO), daily maximum 8-hour average concentration of ozone (O₃), daily meteorological data (24-hour average temperature, 24-hour average relative humidity), and data on daily outpatient and emergency department visits for neurological diseases from two hospitals in Conghua District, Guangzhou, China, were collected from 2015 to 2022. A time-stratified case-crossover design was adopted, and a conditional Poisson regression model was constructed to analyze the association between air pollution exposure and neurological disease visits. Two-pollutant models and sensitivity analysis were used to validate model stability. Stratified analyses by season (cold season: from November to March; warm season: from April to October), sex (male, female), and age (≤45 years, 46–60 years, ≥61 years) were performed to identify vulnerable group. Additionally, the number and proportion of neurological disease visits attributable to short-term air pollutant exposure were calculated. Results A total of 72 673 outpatient and emergency department visits for neurological diseases were included during the study period. Most of the patients were middle-aged and elderly individuals (69.89% were over 45 years old) and females (60.25%). The results of single-pollutant models showed that for each interquartile range (IQR) increase in exposure to PM_2.5, PM₁₀, SO₂, NO₂, CO, and O₃, the risk of outpatient and emergency department visits for neurological diseases increased by 7.54% (95%CI: 4.69%, 10.46%), 6.66% (95%CI: 3.92%, 9.46%), 16.72% (95%CI: 10.58%, 23.19%), 8.12% (95%CI: 4.82%, 11.53%), 5.60% (95%CI: 2.34%, 8.97%), and 6.11% (95%CI: 2.91%, 9.40%), respectively. The results of the two-pollutant model showed that the association between PM_2.5 and SO₂ exposure and outpatient and emergency department visits for neurological diseases were relatively stable. The stratified analyses showed that the effect of SO₂ was stronger in the cold season. It was estimated that 8.32% (95%CI: 5.55%, 10.96%) and 6.65% (95%CI: 4.27%, 8.96%) of the outpatient and emergency department visits were attributable to short-term exposure to SO₂ and PM_2.5, respectively. Conclusion Exposure to PM_2.5 and SO₂ is associated with increased risks of outpatient and emergency visits for neurological diseases. SO₂ shows stronger effects during the cold season, and exposure to air pollution contributes to up to 8.32% of neurological disease visits.

Objective:To observe the effect of acupuncture on gastric motility, plasma motilin and serum gastrin in patients with diabetic gastroparesis (DGP) and evaluate its clinical efficacy.
Methods:A total of 100 eligible cases were randomly allocated into an acupuncture group (n=50) and a control group (n=50). Patients in the acupuncture group were treated by needling Zhongwan (CV 12), Zusanli (ST 36) and Neiguan (PC 6), whereas patients in the control group were treated with oral administration of Domperidone. The clinical efficacies of the two groups were compared; and changes in gastric motility, plasma motilin and serum gastrin in both groups were observed before and after treatment.
Results:After treatment, the symptom scores, gastric motility and contents of plasma motilin and serum gastrin were significantly improved in both groups (P<0.05). There were between-group statistically significant differences in symptom scores, gastric motility and levels of plasma motilin and serum gastrin after treatment (allP<0.05). The total effective rate was 96% in the treatment group, versus 78% in the control group, showing a statistically significant difference (P<0.05).
Conclusion:Acupuncture is effective for DGP and can reduce the levels of plasma motilin and serum gastrin.

Objective To establish a real -time quantitative PCR ( RT-PCR) assay for detecting serum miR -122, miR-22, and evaluate the clinical significance of miR -122 and miR-22 in patients with chronic hepatitis B ( CHB) by using of this assay .Meth-ods The mature miRNAs were reversely transcripted by using of stem -loop primers .SYBR GreenⅠquantitative real-time PCR ( qRT-PCR) was used for quantification of the miRNAs .The sensitivity of this assay was evaluated by using of the 10-fold-diluted miRNA-122 cDNA standards and the specificity was verified by using of melting curve assay .The accuracy was assessed by intra -assay coeffi-cient of variation (CV) of threshold cycle (Ct value), which were calculated from a 20-times-repeat detection of the miR -122 cDNA (2 ×105 , 2 ×106 , 2 ×107 copies/μl) standards.Using the established qRT -PCR assay, we detected the expression of serum miR -122 and miR-22 in the patients with CHB and healthy controls .Results The qRT-PCR assay exhibited good performances in the linear range, sensitivity and reproducibility while detecting miR -122 and miR-22.The relative level of miR -122 and miR-22 was 17.88 vs 5.35 in the CHB patients and 1.80 vs 1.67 in the controls (P=0.000).Conclusion Using of stem-loop primers, we established a qRT-PCR assay for detection of serum miR -122 and miR-22.Serum miR-122 and miR-22 increased significantly in the CHB pa-tients.