The aim of this investigation was to determine the optimal storage medium for testicular hypothermic transportation and identify the ideal concentration for the application of the protective agent 5-aminolevulinic acid (5-ALA). Furthermore, this study aimed to explore the underlying mechanism of the protective effects of 5-ALA. First, we collected and stored mouse testicular fragments in different media, including Hank's balanced salt solution (HBSS; n = 5), Dulbecco's Modified Eagle Medium/Nutrient Mixture F-12 (DMEM/F12; n = 5), and alpha-minimum essential medium (αMEM; n = 5). Storage of testicular tissue in HBSS preserved the integrity of testicular morphology better than that in the DMEM/F12 group ( P < 0.05) and the αMEM group ( P < 0.01). Testicular fragments were subsequently placed in HBSS with various concentrations of 5-ALA (0 [control], 1 mmol l -1 , 2 mmol l -1 , and 5 mmol l -1 ) to determine the most effective concentration of 5-ALA. The 2 mmol l -1 5-ALA group ( n = 3) presented the highest positive rate of spermatogonial stem cells compared with those in the control, 1 mmol l -1 , and 5 mmol l -1 5-ALA groups. Finally, the tissue fragments were preserved in HBSS with control ( n = 3) and 2 mmol l -1 5-ALA ( n = 3) under low-temperature conditions. A comparative analysis was performed against fresh testes ( n = 3) to elucidate the underlying mechanism of 5-ALA. Gene set enrichment analysis (GSEA) for WikiPathways revealed that the p38 mitogen-activated protein kinase (MAPK) signaling pathway was downregulated in the 2 mmol l -1 5-ALA group compared with that in the control group (normalized enrichment score [NES] = -1.57, false discovery rate [FDR] = 0.229, and P = 0.019). In conclusion, these data suggest that using 2 mmol l -1 5-ALA in HBSS effectively protected the viability of spermatogonial stem cells upon hypothermic transportation.
Male ; Animals ; Testis/cytology* ; Aminolevulinic Acid/pharmacology* ; Mice ; Organ Preservation/methods* ; Organ Preservation Solutions/pharmacology* ; Cryopreservation/methods*

BACKGROUND: Previous evidence showed that ambient air pollution and cardiovascular mortality are related. However, there is a lack of evidence towards the modification effect of long-term lifestyle on the association between short-term ambient air pollution and death from cardiovascular events. METHOD: A total of 14,609 death from major adverse cardiovascular events (MACE) were identified among the China Kadoorie Biobank participants from 2013 to 2018. Ambient air pollution exposure including particulate matter 2.5 (PM_2.5), SO₂, NO₂, CO, and O₃ from the same period were obtained from space-time model reconstructions based on remote sensing data. Case-crossover design and conditional logistic regression was applied to estimate the effect of short-term exposure to air pollutants on MACE mortality. RESULTS: We found MACE mortality was significantly associated with PM_2.5 (relative percent increase 2.91% per 10 µg/m³ increase, 95% CI 1.32-4.53), NO₂ (5.37% per 10 µg/m³ increase, 95% CI 1.56-9.33), SO₂ (6.82% per 10 µg/m³ increase, 95% CI 2.99-10.80), and CO (2.24% per 0.1 mg/m³ increase, 95% CI 1.02-3.48). Stratified analyses indicated that drinking was associated with elevated risk of MACE mortality with NO₂ and SO₂ exposure; physical inactivity was associated with higher risk of death from MACE when exposed to PM_2.5; and people who had balanced diet had lower risk of MACE mortality when exposed to CO and NO₂. CONCLUSIONS The study results showed that short-term exposure to ambient PM_2.5, NO₂, SO₂, and CO would aggravate the risk of cardiovascular mortality, yet healthy lifestyle conduct might mitigate such negative impact to some extent.
Humans ; Cardiovascular Diseases/epidemiology* ; China/epidemiology* ; Male ; Female ; Air Pollution/adverse effects* ; Middle Aged ; Air Pollutants/analysis* ; Particulate Matter/analysis* ; Environmental Exposure/adverse effects* ; Life Style ; Aged ; Adult ; Risk Factors ; Cross-Over Studies ; East Asian People

Objective:To explore the prospective association between physical activity level and mor-tality risk in Chinese adults with chronic obstructive pulmonary disease(COPD).Methods:Based on the China Kadoorie Biobank(CKB)who had COPD at the baseline survey,this study employed the Cox proportional hazards regression model to estimate the prospective associations between the overall physical activity,different intensities(low-level,moderate-to-vigorous-level),and types(occupational,non-occupational)of physical activity level and the risks of all-cause and cause-specific mortality,such as vascular diseases,cancer,and respiratory diseases.Based on the quintiles of physical activity level,par-ticipants were divided into five groups(Q1-Q5),with the lowest quintile group(Q1)as the reference group.Hazard ratio(HR)and 95％confidence interval(95％CI)were calculated for the remaining.In our study,we also performed sensitivity and subgroup analyses,including age,gender,self-rated health status,severity of COPD,etc.Results:Among 33 588 COPD patients at the baseline survey,8 314(22.2％)deaths were documented during an average follow-up of(11.1±3.1)years.Negative linear associations between the overall physical activity level and mortality risk from all-cause,vascular,and respiratory diseases were observed(P trend for linear correlation being＜0.001,0.002,＜0.001).Compared with the lowest quintile group of total physical activity(Q1),the hazard ratios(HR)and 95％confidence intervals(CI)for all-cause mortality,vascular disease mortality,and respiratory disease mortality in the highest quintile group(Q5)were 0.77(0.70,0.85),0.77(0.65,0.91),and 0.58(0.48,0.71),respectively.The low-level and moderate-to-vigorous-level physical activity were nega-tively associated with all-cause mortality in the COPD patients(P trend for linear correlation:0.002,＜0.001,respectively).Compared with the lowest quintile group of low-intensity and moderate-to-vigorous intensity physical activity(Q1),the HRs(95％CI)for all-cause mortality in the highest quintile group(Q5)were 0.89(0.82,0.97)and 0.79(0.72,0.87),respectively.The occupational and non-occupational physical activity were also found to have a linear inverse association with all-cause mortality risk among the COPD patients(P trend＜0.001 and 0.015,respectively).Compared with the lowest quintile group of occupational and non-occupational physical activity(Q1),the HR(95％CI)for all-cause mortality in the highest quintile group(Q5)were 0.69(0.61,0.78)and 0.91(0.84,0.98),respectively.The associations between overall physical activity and all-cause mortality risk were stronger for patients aged 60 and above,female,and who reported poor health status(P for interaction:0.028,0.012,0.010).The protective effect of total physical activity was also applicable to the COPD patients of varying severity.Conclusion:Physical activity could reduce the mortality risk in a dose-response relationship among COPD patients,regardless of its intensity and type,especially among indi-viduals aged 60 and above,females,and those with poor self-report health status.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

BACKGROUND: Spicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear. This study was conducted to explore this association. METHODS: This study was performed using the large-scale China Kadoorie Biobank (CKB) prospective cohort of 486,335 participants. The primary outcomes were vascular disease, ischemic heart disease (IHD), major coronary events (MCEs), cerebrovascular disease, stroke, and non-stroke cerebrovascular disease. A Cox proportional hazards regression model was used to assess the association between spicy food consumption and incident vascular diseases. Subgroup analysis was also performed to evaluate the heterogeneity of the association between spicy food consumption and the risk of vascular disease stratified by several basic characteristics. In addition, the joint effects of spicy food consumption and the healthy lifestyle score on the risk of vascular disease were also evaluated, and sensitivity analyses were performed to assess the reliability of the association results. RESULTS: During a median follow-up time of 12.1 years, a total of 136,125 patients with vascular disease, 46,689 patients with IHD, 10,097 patients with MCEs, 80,114 patients with cerebrovascular disease, 56,726 patients with stroke, and 40,098 patients with non-stroke cerebrovascular disease were identified. Participants who consumed spicy food 1-2 days/week (hazard ratio [HR] = 0.95, 95% confidence interval [95% CI] = [0.93, 0.97], P <0.001), 3-5 days/week (HR = 0.96, 95% CI = [0.94, 0.99], P = 0.003), and 6-7 days/week (HR = 0.97, 95% CI = [0.95, 0.99], P = 0.002) had a significantly lower risk of vascular disease than those who consumed spicy food less than once a week ( Ptrend <0.001), especially in those who were younger and living in rural areas. Notably, the disease-based subgroup analysis indicated that the inverse associations remained in IHD ( Ptrend = 0.011) and MCEs ( Ptrend = 0.002) risk. Intriguingly, there was an interaction effect between spicy food consumption and the healthy lifestyle score on the risk of IHD ( Pinteraction = 0.037). CONCLUSIONS Our findings support an inverse association between spicy food consumption and vascular disease in the Chinese population, which may provide additional dietary guidance for the prevention of vascular diseases.
Humans ; Male ; Female ; Prospective Studies ; Middle Aged ; Aged ; Vascular Diseases/etiology* ; Risk Factors ; China/epidemiology* ; Adult ; Proportional Hazards Models ; Cerebrovascular Disorders/epidemiology* ; East Asian People

BACKGROUND: Whether adherence to a healthy lifestyle is associated with a lower risk of developing pneumonia and a better long-term prognosis remains unclear. This study aimed to investigate associations of individual and combined lifestyle factors (LFs) with the incidence risk and long-term prognosis of pneumonia hospitalization. METHODS: Using data from the China Kadoorie Biobank study, we used the multistate models to investigate the role of five high-risk LFs, including smoking, excessive alcohol drinking, unhealthy dietary habits, physical inactivity, and unhealthy body shape, alone or in combination in the transitions from a generally healthy state at baseline to pneumonia hospitalization or cardiovascular disease (CVD, regarded as a reference outcome), and subsequently to mortality. RESULTS: Most of the five high-risk LFs were associated with increased risks of transitions from baseline to pneumonia and from pneumonia to death, but with different risk estimates. The greater the number of high-risk LFs, the higher the risk of developing pneumonia and long-term mortality risk after pneumonia, with the strength of associations comparable to that of LFs and CVD. Compared to participants with 0-1 high-risk LF, the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for transitions from baseline to pneumonia and from pneumonia to death in those with five high-risk LFs were 1.43 (1.28-1.60) and 1.98 (1.61-2.42), respectively. Correspondingly, the respective HRs (95% CIs) for transitions from baseline to CVD and from CVD to death were 2.00 (1.89-2.11) and 1.44 (1.30-1.59), respectively. The risk estimates changed slightly when further adjusting for the presence of major chronic diseases. CONCLUSION In this Chinese population, unhealthy LFs were associated with an increased incidence and long-term mortality risk of pneumonia.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; China/epidemiology* ; Life Style ; Pneumonia/etiology* ; Prognosis ; Risk Factors ; Smoking

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To explore the prospective association between physical activity level and mor-tality risk in Chinese adults with chronic obstructive pulmonary disease(COPD).Methods:Based on the China Kadoorie Biobank(CKB)who had COPD at the baseline survey,this study employed the Cox proportional hazards regression model to estimate the prospective associations between the overall physical activity,different intensities(low-level,moderate-to-vigorous-level),and types(occupational,non-occupational)of physical activity level and the risks of all-cause and cause-specific mortality,such as vascular diseases,cancer,and respiratory diseases.Based on the quintiles of physical activity level,par-ticipants were divided into five groups(Q1-Q5),with the lowest quintile group(Q1)as the reference group.Hazard ratio(HR)and 95％confidence interval(95％CI)were calculated for the remaining.In our study,we also performed sensitivity and subgroup analyses,including age,gender,self-rated health status,severity of COPD,etc.Results:Among 33 588 COPD patients at the baseline survey,8 314(22.2％)deaths were documented during an average follow-up of(11.1±3.1)years.Negative linear associations between the overall physical activity level and mortality risk from all-cause,vascular,and respiratory diseases were observed(P trend for linear correlation being＜0.001,0.002,＜0.001).Compared with the lowest quintile group of total physical activity(Q1),the hazard ratios(HR)and 95％confidence intervals(CI)for all-cause mortality,vascular disease mortality,and respiratory disease mortality in the highest quintile group(Q5)were 0.77(0.70,0.85),0.77(0.65,0.91),and 0.58(0.48,0.71),respectively.The low-level and moderate-to-vigorous-level physical activity were nega-tively associated with all-cause mortality in the COPD patients(P trend for linear correlation:0.002,＜0.001,respectively).Compared with the lowest quintile group of low-intensity and moderate-to-vigorous intensity physical activity(Q1),the HRs(95％CI)for all-cause mortality in the highest quintile group(Q5)were 0.89(0.82,0.97)and 0.79(0.72,0.87),respectively.The occupational and non-occupational physical activity were also found to have a linear inverse association with all-cause mortality risk among the COPD patients(P trend＜0.001 and 0.015,respectively).Compared with the lowest quintile group of occupational and non-occupational physical activity(Q1),the HR(95％CI)for all-cause mortality in the highest quintile group(Q5)were 0.69(0.61,0.78)and 0.91(0.84,0.98),respectively.The associations between overall physical activity and all-cause mortality risk were stronger for patients aged 60 and above,female,and who reported poor health status(P for interaction:0.028,0.012,0.010).The protective effect of total physical activity was also applicable to the COPD patients of varying severity.Conclusion:Physical activity could reduce the mortality risk in a dose-response relationship among COPD patients,regardless of its intensity and type,especially among indi-viduals aged 60 and above,females,and those with poor self-report health status.

BACKGROUND: Several studies have reported that polygenic risk scores (PRSs) can enhance risk prediction of coronary artery disease (CAD) in European populations. However, research on this topic is far from sufficient in non-European countries, including China. We aimed to evaluate the potential of PRS for predicting CAD for primary prevention in the Chinese population. METHODS: Participants with genome-wide genotypic data from the China Kadoorie Biobank were divided into training ( n = 28,490) and testing sets ( n = 72,150). Ten previously developed PRSs were evaluated, and new ones were developed using clumping and thresholding or LDpred method. The PRS showing the strongest association with CAD in the training set was selected to further evaluate its effects on improving the traditional CAD risk-prediction model in the testing set. Genetic risk was computed by summing the product of the weights and allele dosages across genome-wide single-nucleotide polymorphisms. Prediction of the 10-year first CAD events was assessed using hazard ratios (HRs) and measures of model discrimination, calibration, and net reclassification improvement (NRI). Hard CAD (nonfatal I21-I23 and fatal I20-I25) and soft CAD (all fatal or nonfatal I20-I25) were analyzed separately. RESULTS: In the testing set, 1214 hard and 7201 soft CAD cases were documented during a mean follow-up of 11.2 years. The HR per standard deviation of the optimal PRS was 1.26 (95% CI:1.19-1.33) for hard CAD. Based on a traditional CAD risk prediction model containing only non-laboratory-based information, the addition of PRS for hard CAD increased Harrell's C index by 0.001 (-0.001 to 0.003) in women and 0.003 (0.001 to 0.005) in men. Among the different high-risk thresholds ranging from 1% to 10%, the highest categorical NRI was 3.2% (95% CI: 0.4-6.0%) at a high-risk threshold of 10.0% in women. The association of the PRS with soft CAD was much weaker than with hard CAD, leading to minimal or no improvement in the soft CAD model. CONCLUSIONS In this Chinese population sample, the current PRSs minimally changed risk discrimination and offered little improvement in risk stratification for soft CAD. Therefore, this may not be suitable for promoting genetic screening in the general Chinese population to improve CAD risk prediction.
Male ; Humans ; Female ; Coronary Artery Disease/genetics* ; Biological Specimen Banks ; East Asian People ; Risk Assessment/methods* ; Genetic Predisposition to Disease/genetics* ; Risk Factors ; Genome-Wide Association Study