, Available online , doi: 10.3967/bes2024.177
Objective To explore the correlation between chromosome 8 open reading frame 76 (C8orf76) and cyclin-dependent kinase 4 (CDK4) and the potential predictive effect of C8orf76 and CDK4 on the prognosis of colorectal cancer (CRC). Methods We constructed a protein-protein interaction network of C8orf76-related genes and analyzed the prognostic signatures of C8orf76 and CDK4. Clinicopathological features of C8orf76 and CDK4 were visualized using a nomogram. Results C8orf76 and CDK4 levels were positively correlated in two independent human CRC cohorts (n = 83 and n = 597). A consistent positive correlation was observed between C8orf76 and CDK4 expression in the CRC cell lines. The nomogram included prognostic genes (C8orf76 and CDK4) and pathological N and M stages. The concordance index (C-index) in our cohort was 0.776, which suggests that the ability of the indicators to predict the overall survival of patients with CRC in our cohort was strong. Conclusions We found that C8orf76 was positively correlated with CDK4 in both the cohorts as well as in CRC cell lines. Therefore, C8orf76 and CDK4 can be used as potential biomarkers to predict the prognosis of CRC.
Kyeongeun Kim,
Kyeongmin Lee,
Yejun Son,
Seoyoung Park,
Raphael Udeh,
Jiseung Kang,
Hayeon Lee,
Soeun Kim,
Jaeyu Park,
Hyeon Jin Kim,
Damiano Pizzol,
Lee Smith,
Jiyoung Hwang,
Dong Keon Yon
, Available online , doi: 10.3967/bes2025.061
Objective Despite the global decrease in influenza infections during the coronavirus disease 2019 (COVID-19) pandemic, seasonal influenza remains a significant health issue. South Korea, known for its robust pandemic response and high influenza vaccination rates, offers a unique context for examining changes in vaccination trends during the pandemic. Using nationally representative data, we aimed to understand the impact of the pandemic on influenza vaccination behavior over a 12-year period and to identify vulnerable groups. Methods We analyzed influenza vaccination rates in South Korea between 2011–2022, focusing on pandemic-related impacts. The data of 2,426,139 adults (≥ 19 years) from the Korea Community Health Survey were used to assess demographic and sociological factors influencing vaccination behaviors. Results We observed an increase in influenza vaccination rates during the pre-COVID-19 period from 2011–2013 (weighted prevalence: 46.68% [95% confidence interval (CI): 46.55–46.82]) to 2017–2019 (weighted prevalence: 52.50% [95% CI: 52.38–52.63]). However, a significant decline was observed in 2022, the late-COVID-19 pandemic period (weighted prevalence: 55.78% [95% CI: 55.56–56.01]), compared with the mid-pandemic period in 2021 (weighted prevalence: 59.12% [95% CI: 58.91– 59.32]), particularly among populations traditionally prioritized for influenza vaccination, including older adults (≥ 65 years) and patients with chronic diseases and low educational and income levels. Conclusion The influenza vaccination rate in South Korea was significantly affected by the COVID-19 pandemic, showing a notable decrease among vulnerable demographic groups. This suggests the need for targeted public health strategies to address vaccine hesitancy and improve vaccination rates, particularly among high-risk populations.
Yuxi Wang,
Jingjing Hu,
Jingjing Hou,
Xiaojie Yuan,
Weijie Chen,
Yanjiao Li,
Qile Gao,
Yue Pan,
Shuiping Lu,
Qi Chen,
Siru Hu,
Zhongjun Shao,
Chenglong Xiong
, Available online , doi: 10.3967/bes2025.062
Objective Poxviruses are zoonotic pathogens that infect humans, mammals, vertebrates, and arthropods. However, the specific role of ticks in transmission and evolution of these viruses remains unclear. Methods Transcriptomic and metatranscriptomic raw data from 329 sampling pools of seven tick species across five continents were mined to assess the diversity and abundance of poxviruses. Chordopoxviral sequences were assembled and subjected to phylogenetic analysis to trace the origins of the unblasted fragments within these sequences. Results Fifty-eight poxvirus species, representing two subfamilies and 20 genera, were identified, with 212 poxviral sequences assembled. A substantial proportion of AT-rich fragments were detected in the assembled poxviral genomes. These genomic sequences contained fragments originating from rodents, archaea, and arthropods. Conclusion Our findings indicate that ticks play a significant role in the transmission and evolution of poxviruses. These viruses demonstrate the capacity to modulate virulence and adaptability through horizontal gene transfer, gene recombination, and gene mutations, thereby promoting co-existence and co-evolution with their hosts. This study advances understanding of the ecological dynamics of poxvirus transmission and evolution and highlights the potential role of ticks as vectors and vessels in these processes.
, Available online , doi: 10.3967/bes2025.053
Objective Telomere length is a key aging biomarker, but its sex-specific impact on individualized life expectancy remains uncertain. This study explores sex differences in leukocyte telomere length (LTL) and individualized expected years of life lost (YLL). Methods A prospective cohort of 445,399 participants (203,731 males and 241,668 females) from the UK Biobank was analyzed. LTL values were log-transformed, and YLL was calculated using life tables. Multiple linear regression was applied to examine sex-specific associations. Results In males, each standard deviation (S.D.) increase in LTL was linked to a 0.965-year decrease in YLL (95% CI: –1.025, –0.900; P < 0.001). In females, longer LTL was related to a 0.102-year increase in YLL (95% CI: 0.057, 0.146; P < 0.001). Among postmenopausal females, LTL showed a protective effect similar to that in males (0.387-year decrease, 95% CI: −0.446, –0.328; P < 0.001), while premenopausal females exhibited a detrimental association (0.705-year increase, 95% CI: 0.625, 0.785; P < 0.001). Comparable trends were observed across major aging-related diseases, pointing to a consistent biological pattern. Conclusion The influence of LTL on life expectancy varies significantly by sex, with protective associations seen in males and postmenopausal females. This suggests hormonal involvement in telomere dynamics. The results support integrating sex-specific perspectives into aging and telomere research and clinical practice.
, Available online , doi: 10.3967/bes2025.052
Objective To investigate the association between long-term glycemic control and cerebral infarction risk in patients with diabetes through a large-scale cohort study. Methods This prospective, community-based cohort study included 12,054 patients with diabetes. From 2006 to 2012, 38,272 fasting blood glucose (FBG) measurements were obtained from these participants. FBG trajectory patterns were generated using latent mixture modelling. Cox proportional hazards models were applied to assess the subsequent risk of cerebral infarction associated with different FBG trajectory patterns. Results At baseline, the mean age of the participants was 55.2 years. Four distinct FBG trajectories were identified based on FBG concentrations and their changes over the 6-year follow-up period. After a median follow-up of 6.9 years, 786 cerebral infarction events were recorded. Different trajectory patterns were associated with significantly varied outcome risks (Log-Rank P < 0.001). Compared with the low-stability group, Hazard Ratio (HR) adjusted for potential confounders were 1.37 for the moderate-increasing group, 1.23 for the elevated-decreasing group, and 2.08 for the elevated-stable group. Conclusion Sustained high FBG levels were found to play a critical role in the development of ischemic stroke among patients with diabetes. Controlling FBG levels may reduce the risk of cerebral infarction.
, Available online , doi: 10.3967/bes2025.051
Abstract Objective This study aimed to evaluate the relationships of white blood cell (WBC) count, platelet (PLT) count, and PLT-to-WBC ratio (PWR) with muscle mass in Chinese older adults. Methods This cross-sectional analysis involved 4,033 Chinese older adults aged ≥ 65 years from the Healthy Ageing and Biomarkers Cohort Study. Muscle mass and total skeletal muscle mass index (TSMI) were measured by bioelectric impedance analysis. WBC, PLT, and PWR were measured using standard methods. Multivariate linear regression was used to examine the associations of WBC count, PLT count, and PWR with TSMI. Results High WBC count, PLT count, and PWR were associated with low TSMI, with coefficients of −0.0091 (95% confidence interval [CI]: −0.0142 to −0.0041), −0.0119 (95% CI: −0.0170 to −0.0068), and −0.0051 (95% CI: −0.0102 to −0.0001). The associations between the three inflammatory indices and TSMI were linear. Stratified analyses indicated that the relationship between inflammatory markers and TSMI was more evident in male participants and in individuals aged < 80 years than in their counterparts. Conclusion Elevated WBC count, PLT count, and PWR correlated with muscle mass loss. This study highlights the importance of regular monitoring of inflammatory markers as a potential strategy for the screening and management of sarcopenia in older adults.
, Available online , doi: 10.3967/bes2025.047
Objective To identify the key features of facial and tongue images associated with anemia in female populations, establish anemia risk-screening models, and evaluate their performance. Methods A total of 533 female participants (anemic and healthy) were recruited from Shuguang Hospital. Facial and tongue images were collected using the TFDA-1 tongue and face diagnosis instrument. Color and texture features from various parts of facial and tongue images were extracted using Face Diagnosis Analysis System (FDAS) and Tongue Diagnosis Analysis System version 2.0 (TDAS v2.0). Least Absolute Shrinkage and Selection Operator (LASSO) regression was used for feature selection. Ten machine learning models and one deep learning model (ResNet50V2 + Conv1D) were developed and evaluated. Results Anemic women showed lower a-values, higher L- and b-values across all age groups. Texture features analysis showed that women aged 30–39 with anemia had higher angular second moment (ASM)and lower entropy (ENT) values in facial images, while those aged 40–49 had lower contrast (CON), ENT, and MEAN values in tongue images but higher ASM. Anemic women exhibited age-related trends similar to healthy women, with decreasing L-values and increasing a-, b-, and ASM-values. LASSO identified 19 key features from 62. Among classifiers, the Artificial Neural Network (ANN) model achieved the best performance [area under the curve (AUC): 0.849, accuracy: 0.781]. The ResNet50V2 model achieved comparable results [AUC: 0.846, accuracy: 0.818]. Conclusion Differences in facial and tongue images suggest that color and texture features can serve as potential TCM phenotype and auxiliary diagnostic indicators for female anemia.
Shuanghua Xie,
Shuangying Li,
Shaofei Su,
Enjie Zhang,
Shen Gao,
Yue Zhang,
Jianhui Liu,
Minhui Hu,
Ruixia Liu,
Wentao Yue,
Chenghong Yin
, Available online , doi: 10.3967/bes2025.046
Objective To investigate the association between ABO blood types and gestational diabetes mellitus (GDM) risk. Methods A prospective birth cohort study was conducted. ABO blood types were determined using the slide method. GDM diagnosis was based on a 75-g, 2-h oral glucose tolerance test (OGTT) according to the criteria of the International Association of Diabetes and Pregnancy Study Groups. Logistic regression was applied to calculate the Odds Ratios (ORs) and 95% Confidence Intervals (CIs) between ABO blood types and GDM risk. Results A total of 30,740 pregnant women with a mean age of 31.81 years were enrolled in this study. The ABO blood types distribution was: type O (30.99%), type A (26.58%), type B (32.20%), and type AB (10.23%). GDM was identified in 14.44% of participants. Using blood type O as a reference, GDM risk was not significantly higher for types A (OR = 1.05) or B (OR = 1.04). However, women with type AB had a 19% increased risk of GDM (OR = 1.19, 95% CI = 1.05–1.34; P < 0.05), even after adjusting for various factors. This increased risk for type AB was consistent across subgroup and sensitivity analyses. Conclusion The ABO blood types may influence GDM risk, with type AB associated with a higher risk. Incorporating it—either as a single risk factor or in combination with other known factors—could help identify individuals at risk for GDM before or during early pregnancy.
, Available online , doi: 10.3967/bes2025.045
Objective This study aimed to evaluate the association between susceptibility genes and non-alcoholic fatty liver disease (NAFLD) in children with obesity. Methods We conducted a two-step case-control study. Ninety-three participants were subjected to whole-exome sequencing (exploratory set). Differential genes identified in the small sample were validated in 1,022 participants using multiplex polymerase chain reaction and high-throughput sequencing (validation set). Results In the exploratory set, 14 genes from the NAFLD-associated pathways were identified. In the validation set, after adjusting for sex, age, and body mass index, ECI2 rs2326408 (dominant model: OR = 1.33, 95% CI: 1.02–1.72; additive model: OR = 1.22, 95% CI: 1.01–1.47), C6orf201 rs659305 (dominant model: OR = 1.30, 95% CI: 1.01–1.69; additive model: OR = 1.21, 95% CI: 1.00–1.45), CALML5 rs10904516 (pre-ad dominant model: OR = 1.36, 95% CI: 1.01–1.83; adjusted dominant model: OR = 1.40, 95% CI: 1.03–1.91; and pre-ad additive model: OR = 1.26, 95% CI: 1.04–1.66) polymorphisms were significantly associated with NAFLD in children with obesity (P < 0.05). Interaction analysis revealed that the gene-gene interaction model of CALML5 rs10904516, COX11 rs17209882, and SCD5 rs3733228 was optional (P < 0.05), demonstrating a negative interaction between the three genes. Conclusion In the Chinese population, the CALML5 rs10904516, C6orf201 rs659305, and ECI2 rs2326408 variants could be genetic markers for NAFLD susceptibility.
Qi Ye,
Jing Chen,
Yating Ji,
Xiaoyu Lu,
Jiale Deng,
Nan Li,
Wei Wei,
Renjie Hou,
Zhiyuan Li,
Jianbang Xiang,
Xu Gao,
Xin Shen,
Chongguang Yang
, Available online , doi: 10.3967/bes2025.041
Objective To assess the independent and combined effects of air pollutants, meteorological factors, and greenspace exposure on new tuberculosis (TB) cases. Methods TB case data from Shanghai (2013–2018) were obtained from the Shanghai Center for Disease Control and Prevention. Environmental data on air pollutants, meteorological variables, and greenspace exposure were obtained from the National Tibetan Plateau Data Center. We employed a distributed-lag nonlinear model to assess the effects of these environmental factors on TB cases. Results Increased TB risk was linked to PM2.5, PM10, and rainfall, whereas NO2, SO2, and air pressure were associated with a reduced risk. Specifically, the strongest cumulative effects occurred at various lags: PM2.5 (RR = 1.166, 95% CI: 1.026–1.325) at 0–19 weeks; PM10 (RR = 1.167, 95% CI: 1.028–1.324) at 0–18 weeks; NO2 (RR = 0.968, 95% CI: 0.938-0.999) at 0–1 weeks; SO2 (RR = 0.945, 95% CI: 0.894–0.999) at 0–2 weeks; air pressure (RR = 0.604, 95% CI: 0.447–0.816) at 0–8 weeks; and rainfall (RR = 1.404, 95% CI: 1.076–1.833) at 0–22 weeks. Green space exposure did not significantly impact TB cases. Additionally, low temperatures amplified the effect of PM2.5 on TB. Conclusion Exposure to PM2.5, PM10, and rainfall increased the risk of TB, highlighting the need to address air pollutants for the prevention of TB in Shanghai.
Chenwei Zhang,
Binbin Wan,
Yukai Zhang,
Tao Xiong,
Yishan Li,
Xuesen Su,
Gang Liu,
Yangyang Wei,
Yuanyuan Sun,
Jingfen Zhang,
Xiao Yu,
Yiwei Shi
, Available online , doi: 10.3967/bes2025.028
Background Pneumoconiosis, a lung disease caused by irreversible fibrosis, represents a significant public health burden. This study investigates the causal relationships between gut microbiota, gene methylation, gene expression, protein levels, and pneumoconiosis using a multi-omics approach and Mendelian randomization (MR). Methods We analyzed gut microbiota data from MiBioGen and Esteban et al. to assess their potential causal effects on pneumoconiosis subtypes (asbestosis, silicosis, and inorganic pneumoconiosis) using conventional and summary-data-based MR (SMR). Gene methylation and expression data from Genotype-Tissue Expression and eQTLGen, along with protein level data from deCODE and UK Biobank Pharma Proteomics Project, were examined in relation to pneumoconiosis data from FinnGen. To validate our findings, we assessed self-measured gut flora from a pneumoconiosis cohort and performed fine mapping, drug prediction, molecular docking, and Phenome-Wide Association Studies to explore relevant phenotypes of key genes. Results Three core gut microorganisms were identified: Romboutsia (OR = 0.249) as a protective factor against silicosis, Pasteurellaceae (OR = 3.207) and Haemophilus parainfluenzae (OR = 2.343) as risk factors for inorganic pneumoconiosis. Additionally, mapping and quantitative trait loci analyses revealed that the genes VIM, STX8, and MIF were significantly associated with pneumoconiosis risk. Conclusions This multi-omics study highlights the associations between gut microbiota and key genes (VIM, STX8, MIF) with pneumoconiosis, offering insights into potential therapeutic targets and personalized treatment strategies.
Bingsong Zhang,
Haibin Yu,
Xin Peng,
Haiyi Yan,
Siran Li,
Shutong Luo,
Renhuizi Wei,
Zhujiang Zhou,
Yalin Kuang,
Yihuan Zheng,
Chulan Ou,
Linhua Liu,
Yuehua Hu,
Jindong Ni
, Available online , doi: 10.3967/bes2025.024
Objective Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. Methods We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. Results We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011–2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four perfluoroalkyl substances (PFAS) and gout risk (2007–2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. Conclusion GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
, Available online , doi: 10.3967/bes2025.022
Objective Burning solid cooking fuel contributes to household air pollution and is associated with frailty. However, how solid cooking fuel use contributes to the development of frailty has not been well illustrated. Methods This study recruited 8,947 participants aged ≥ 45 years from the China Health and Retirement Longitudinal Study, 2011–2018. Group-based trajectory modeling was employed to identify frailty trajectories. Multinomial logistic regression was used to assess the association between solid cooking fuel use and frailty trajectories. Population-attributable fractions were used to estimate the frailty burden from solid fuel use. Results We identified three frailty trajectories: low-stable (n = 5,789), moderate-increasing (n = 2,603), and fast-increasing (n = 555). Solid fuel use was associated with higher odds of being in the moderate-increasing (OR: 1.24, 95% CI: 1.08–1.42) and fast-increasing (OR: 1.48, 95% CI: 1.14–1.92) trajectories. These associations were strengthened by longer solid fuel use (P for trend < 0.001). Switching to clean fuel significantly reduced the risk of being in these trajectories compared with persistent solid fuel users. Without solid fuel, 8% of moderate- and 19% of fast-increasing trajectories demonstrated frailty development like the low-stable group. Conclusion Solid cooking fuel use is associated with frailty trajectories in middle-aged and older Chinese populations.
, Available online , doi: 10.3967/bes2025.020
Objective Cigarette smoking exacerbates progression of pulmonary tuberculosis (TB) . The role of tertiary lymphoid structures (TLS) in chronic lung diseases has gained attention, but it remains unclear whether smoking-exacerbated lung damage in TB is associated with TLS. This study aims to analyze the characteristics of pulmonary TLS in smoking TB patients and therefore to explore the possible role of TLS in smoking-related lung injury in TB. Methods Lung tissues from 36 male patients (18 smokers and 18 non-smokers) who underwent surgical resection due to pulmonary TB were included in this study. Pathological and immunohistological analysis was conducted to evaluate the quantity of TLS, and chest CT was used to assess the severity of lung lesions. The correlation between TLS quantity and TB lesion severity scores was analyzed. Immune cells and chemokines for TLS formation were also evaluated and compared between smoker and nonsmoker patients. Results Smoking TB patients had significantly more TLS than non-smokers (P < 0.001). TLS quantity in both lung parenchyma and peribronchial regions correlated with TB lesion severity on chest CT (parenchyma: r = 0.5767; peribronchial: r = 0.7373; both P < 0.001). Immunohistochemical analysis showed increased B cells, T cells, and CXCL13 expression in smoker patients with TB (P < 0.001). Conclusion Smoking TB patients exhibited increased pulmonary TLS, which was associated with exacerbated lung lesions on chest CT, suggesting that cigarette smoking may exacerbate lung damage by promoting TLS formation.
Xiaobing Liu,
Jun Wang,
Yajie Li,
Hongxing Tan,
Deqian Mao,
Yanyan Liu,
Weidong Li,
Wei Yu,
Junan Yan,
Jianhua Piao,
Chongzheng Guo,
Xiaoli Liu,
Xiaoguang Yang
, Available online , doi: 10.3967/bes2025.017
Objective This study aimed to explore minimum iodine excretion and to build a dietary iodine recommendation for Chinese adults using the obligatory iodine loss hypothesis. Methods Data from 171 Chinese adults (19–21 years old) were collected and analyzed based on three balance studies in Shenzhen, Yinchuan, and Changzhi. The single exponential equation was accordingly used to simulate the trajectory of 24 h urinary iodine excretion as the low iodine experimental diets offered (iodine intake: 11−26 μg·day−1) and to further deduce the dietary reference intakes (DRIs) for iodine, including estimated average requirement (EAR) and recommended nutrient intake (RNI). Results The minimum iodine excretion was estimated as 57, 58, and 51 μg·day−1 in three balance studies, respectively. Moreover, it was further suggested as 57, 58, and 51 μg·day−1 for iodine EAR, and 80, 81, and 71 μg·day−1 for iodine RNI or expressed as 1.42, 1.41, and 1.20 μg·day−1·kg−1 of body weight. Conclusion The iodine DRIs for Chinese adults were established based on the obligatory iodine loss hypothesis, which provides scientific support for the amendment of nutrient requirements.
, Available online , doi: 10.3967/bes2025.060
, Available online , doi: 10.3967/bes2025.059
, Available online , doi: 10.3967/bes2025.057
, Available online , doi: 10.3967/bes2025.034
, Available online , doi: 10.3967/bes2025.058
Objective We aimed to investigate the patterns of fasting blood glucose (FBG) trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers. Methods The study cohort included 3,728 workers who met the selection criteria for the Tanggang Occupational Cohort between 2017 and 2022. A group-based trajectory model was used to identify the FBG trajectories. Environmental risk scores (ERS) were constructed using regression coefficients from the occupational hazard model as weights. Univariate and multivariate logistic regression analyses were performed to explore the effects of occupational hazard factors using the ERS on FBG trajectories. Results FBG trajectories were categorized into three groups. An association was observed between high temperature, noise exposure, and FBG trajectory (P < 0.05). Using the first quartile group of ERS1 as a reference, the fourth quartile group of ERS1 had an increased risk of medium and high FBG by 1.90 and 2.21 times, respectively (odds ratio [OR] = 1.90, 95% confidence interval [CI]: 1.17–3.10; OR = 2.21, 95% CI: 1.09–4.45). Conclusion An association was observed between occupational hazards based on ERS and FBG trajectories. The risk of FBG trajectory levels increase with an increase in ERS.
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