Objective:To investigate the potential causes of the rising epidemic of severe fever with thrombocytopenia syndrome (SFTS) in Weifang, Shandong province.Methods:The temporal trend of SFTS epidemic was segmented using Joinpoint regression analysis. Changes in epidemiological characteristics across different periods were compared, and correlation analysis was conducted to identify meteorological factors influencing the epidemic trend.Results:Joinpoint regression revealed two distinct periods for SFTS epidemic in Weifang: 2015-2021 and 2022-2024. No significant trend was observed during 2015-2021 ( P=0.634), while a sharp annual increase of 46.69% occurred from 2022 to 2024 ( P=0.006). Spatial autocorrelation analysis demonstrated a global Moran’s I of 0.42 ( Z=8.55, P<0.001) for 2015-2021, with 15 high-high clustering areas identified. For 2022-2024, the global Moran’s I decreased to 0.37 ( Z=7.31, P<0.001), with 13 high-high clusters, including newly emerging hotspots in Anqiu and Zhucheng in the southeastern region. High-risk populations remained individuals aged ≥50 in mountainous and hilly areas, with a marked rise in incidence in these groups. The male-to-female ratio of cases was higher in plain areas than in mountainous/hilly regions. Autumn (September-November) temperatures from the preceding year showed a positive correlation with annual case numbers ( P=0.004, r=0.82). The linear regression expression is y=40.61x-580.78 (y is the annual incidence, and x is the average daily temperature of last autumn). Conclusions:The SFTS epidemic in Weifang is showing a rising trend. There is a linear correlation between the temperature of the previous autumn and the scale of SFTS epidemic in the following year. This correlation allows for predicting the subsequent year′s epidemic, thereby enabling early warning of SFTS.

The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance datasets and associated early warning indicators demonstrate notable heterogeneity and sophisticated interrelationships. Furthermore, as surveillance and early warning requirements significantly vary across diverse epidemiological scenarios, accurate assessment of the value and applicability of distinct data types and indicators is imperative. This paper systematically reviews and synthesizes recent advancements in surveillance data and early warning indicators for respiratory infectious diseases, drawing on both domestic and international research. Particular attention is dedicated to analyzing the applicability and efficacy of various data types and indicators within multiple practical contexts, aiming to provide robust theoretical frameworks and methodological guidance to facilitate the development of resilient and efficient surveillance and early warning systems for respiratory infectious diseases.

The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance datasets and associated early warning indicators demonstrate notable heterogeneity and sophisticated interrelationships. Furthermore, as surveillance and early warning requirements significantly vary across diverse epidemiological scenarios, accurate assessment of the value and applicability of distinct data types and indicators is imperative. This paper systematically reviews and synthesizes recent advancements in surveillance data and early warning indicators for respiratory infectious diseases, drawing on both domestic and international research. Particular attention is dedicated to analyzing the applicability and efficacy of various data types and indicators within multiple practical contexts, aiming to provide robust theoretical frameworks and methodological guidance to facilitate the development of resilient and efficient surveillance and early warning systems for respiratory infectious diseases.

Objective:To investigate the potential causes of the rising epidemic of severe fever with thrombocytopenia syndrome (SFTS) in Weifang, Shandong province.Methods:The temporal trend of SFTS epidemic was segmented using Joinpoint regression analysis. Changes in epidemiological characteristics across different periods were compared, and correlation analysis was conducted to identify meteorological factors influencing the epidemic trend.Results:Joinpoint regression revealed two distinct periods for SFTS epidemic in Weifang: 2015-2021 and 2022-2024. No significant trend was observed during 2015-2021 ( P=0.634), while a sharp annual increase of 46.69% occurred from 2022 to 2024 ( P=0.006). Spatial autocorrelation analysis demonstrated a global Moran’s I of 0.42 ( Z=8.55, P<0.001) for 2015-2021, with 15 high-high clustering areas identified. For 2022-2024, the global Moran’s I decreased to 0.37 ( Z=7.31, P<0.001), with 13 high-high clusters, including newly emerging hotspots in Anqiu and Zhucheng in the southeastern region. High-risk populations remained individuals aged ≥50 in mountainous and hilly areas, with a marked rise in incidence in these groups. The male-to-female ratio of cases was higher in plain areas than in mountainous/hilly regions. Autumn (September-November) temperatures from the preceding year showed a positive correlation with annual case numbers ( P=0.004, r=0.82). The linear regression expression is y=40.61x-580.78 (y is the annual incidence, and x is the average daily temperature of last autumn). Conclusions:The SFTS epidemic in Weifang is showing a rising trend. There is a linear correlation between the temperature of the previous autumn and the scale of SFTS epidemic in the following year. This correlation allows for predicting the subsequent year′s epidemic, thereby enabling early warning of SFTS.

In order to achieve the purpose of rapid detection of duck astrovirus type 1(DAstV-1),specific primers were designed based on the conservative region of ORF1a which belonged to DAstV-1(WF1202 strain).A real-time fluorescent quantitative PCR(qPCR)detective method for DAstV-1 was established.Clinical samples were detected by the qPCR method and the positive samples were used for virus isolation and identification.Results showed that the detection limit of the established method was 4.64×103 copies/μL,which was 10 times higher than the normal RT-PCR method.In addition,no cross-reactions were found with other common infectious disease pathogens in poultry,indicating that the qPCR method had good specificity.What's more,the coef-ficient of variations(Cv)in intra-and inter-assays were 0.85％-2.85％and 0.21％-2.94％,re-spectively,both less than 3％,indicating that the qPCR method had a good repeatability.Using this method,35 tissue samples from different duck farms in 10 provinces from 2020 to 2022 were detected for DAstV-1.Results showed that the positive rate was 25.71％(9/35),and the coinci-dence rate was 94.29％when compared with the normal RT-PCR method.A positive sample ran-domly taken for the virus isolation through duck embryo passage,and the allantoic fluid was col-lected and then was verified by the qPCR method and inoculated with 1-day-old healthy ducklings for the animal regression experiment.The infected ducklings suffered from transient disease but did not die.The liver tissues were all positive with DAstV-1 when detected by qPCR.Meanwhile,autopsy showed that there were slight changes in the livers,and the histopathological observation showed that the liver cells were steatosis.These findings indicated that the isolated DAstV-1 strain had weak pathogenicity and might be a low virulent strain.To sum up,the qPCR detection method of DAstV-1 was successfully established in this work,and could provide technical support for clini-cal diagnosis,isolation and identification,and molecular epidemiology monitoring of DAstV-1.

Background::Whether functional gastrointestinal disorders (FGIDs) are associated with the long-term risk of chronic kidney disease (CKD) remains unclear. We aimed to investigate the prospective association of FGIDs with CKD and examine whether mental health mediated the association.Methods::About 416,258 participants without a prior CKD diagnosis enrolled in the UK Biobank between 2006 and 2010 were included. Participants with FGIDs (including irritable bowel syndrome [IBS], dyspepsia, and other functional intestinal disorders [FIDs; mainly composed of constipation]) were the exposure group, and non-FGID participants were the non-exposure group. The primary outcome was incident CKD, ascertained from hospital admission and death registry records. A Cox proportional hazard regression model was used to investigate the association between FGIDs and CKD, and the mediation analysis was performed to investigate the mediation proportions of mental health.Results::At baseline, 33,156 (8.0%) participants were diagnosed with FGIDs, including 21,060 (5.1%), 8262 (2.0%), and 6437 (1.6%) cases of IBS, dyspepsia, and other FIDs, respectively. During a mean follow-up period of 12.1 years, 11,001 (2.6%) participants developed CKD. FGIDs were significantly associated with a higher risk of incident CKD compared to the absence of FGIDs (hazard ratio [HR], 1.36; 95% confidence interval [CI], 1.28–1.44). Similar results were observed for IBS (HR, 1.27; 95% CI, 1.17–1.38), dyspepsia (HR, 1.30; 95% CI, 1.17–1.44), and other FIDs (HR, 1.60; 95% CI, 1.43–1.79). Mediation analyses suggested that the mental health score significantly mediated 9.05% of the association of FGIDs with incident CKD and 5.63–13.97% of the associations of FGID subtypes with CKD. Specifically, the positive associations of FGIDs and FGID subtypes with CKD were more pronounced in participants with a high genetic risk of CKD.Conclusion::Participants with FGIDs had a higher risk of incident CKD, which was partly explained by mental health scores and was more pronounced in those with high genetic susceptibility to CKD.

We aimed to investigate the relationship of dietary zinc intake with new-onset hypertension among Chinese adults. A total of 12,177 participants who were free of hypertension at baseline from the China Health and Nutrition Survey were included. Dietary intake was assessed by three consecutive 24-h dietary recalls combined with a household food inventory. Participants with systolic blood pressure ≽ 140 mmHg or diastolic blood pressure ≽ 90 mmHg or diagnosed by a physician or under antihypertensive treatment during the follow-up were defined as having new-onset hypertension. During a median follow-up duration of 6.1 years, 4269 participants developed new-onset hypertension. Overall, the association between dietary zinc intake and new-onset hypertension followed a J-shape (P for non-linearity < 0.001). The risk of new-onset hypertension significantly decreased with the increment of dietary zinc intake (per mg/day: hazard ratio (HR) 0.93; 95% confidence interval (CI) 0.88-0.98) in participants with zinc intake < 10.9 mg/day, and increased with the increment of zinc intake (per mg/day: HR 1.14; 95% CI 1.11-1.16) in participants with zinc intake ≽ 10.9 mg/day. In conclusion, there was a J-shaped association between dietary zinc intake and new-onset hypertension in general Chinese adults, with an inflection point at about 10.9 mg/day.
Adult ; Humans ; Cohort Studies ; Zinc ; Diet ; Hypertension/epidemiology* ; Eating ; China/epidemiology*

OBJECTIVETo explore the value of detecting podocalyxin (PCX) level in urinary extracellular vesicles for the diagnosis of diabetic nephropathy.

METHODSThis study was conducted among 57 diabetic patients admitted during the period from March to September, 2017, including 34 with uncomplicated diabetics and 23 with diabetic nephropathy; 21 patients with other types of nephropathy and 11 healthy individuals were also included to serve as the controls. Transmission electron microscopy (TEM) and nanoparticle tracking analysis (NTA) were used to verify the separation of urinary extracellular vesicles. The molecular markers of extracellular vesicles (TSG101 and podocalyxin [PCX]) were detected using Western blotting. PCX levels in extracellular vesicles were also detected using ELISA.

RESULTSTEM reveal the presence of numerous extracellular vesicles in the urine with intact morphology and different sizes, and most of them were below 300 nm in diameter as shown by NTA. TSG101 expression was detected in the samples from all the 4 groups. Positive expression of PCX was detected in the samples from patients with diabetic nephropathy but not in the other groups. In patients with diabetic nephropathy, the mean PCX levels (3.27±2.30 ng/μmol)was significantly higher than those in the healthy control group (1.22±0.36 ng/μmol), uncomplicated diabetes group (2.22±1.29 ng/μmol) and nephropathy group (1.24±0.45 ng/μmol).

CONCLUSIONSPCX level in urinary extracellular vesicles is significantly increased in patients with diabetic nephropathy, suggesting the value of PCX as a potential marker for clinical diagnosis of diabetic nephropathy.