In recent years, China has been facing the dual challenges of declining fertility rates and births, with male reproductive health issues, especially the decline in semen quality, identified as a pivotal contributor to this phenomenon. Meanwhile, accumulating evidence indicates that air pollutants, an increasingly severe environmental problem, can damage semen quality not only directly through their biological toxicity but also indirectly by disrupting the composition of microbial communities in the gut and semen, thereby dysregulating immune function, endocrine homeostasis, and oxidative stress responses. The gut microbiota and semen microbiota, as important components of the human microecosystem, play crucial roles in maintaining reproductive health. This article comprehensively reviewed the research progress on the potential effects of air pollutants (particulate matter and gaseous pollutants), gut microbiota, and semen microbiota on semen quality. Specifically, it elucidated the mechanisms of interaction between these factors and explored how they affect male fertility.

Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.

Pancreatic cancer has a concealed onset and poor prognosis,and surgical resection is the main treatment method.Neoadjuvant therapy may improve the rate of negative resection margin and prolong overall survival of patients with pancreatic cancer.Functional and quantitative imaging can non-invasively reflect tumor microenvironment characteristics related to chemotherapy resistance,providing a new perspective for evaluating and predicting the efficacy of neoadjuvant therapy for pancreatic cancer.The research progresses in functional and quantitative imaging for evaluating and predicting the efficacy of neoadjuvant therapy of pancreatic cancer were reviewed in this article.

Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.

Pancreatic cancer has a concealed onset and poor prognosis,and surgical resection is the main treatment method.Neoadjuvant therapy may improve the rate of negative resection margin and prolong overall survival of patients with pancreatic cancer.Functional and quantitative imaging can non-invasively reflect tumor microenvironment characteristics related to chemotherapy resistance,providing a new perspective for evaluating and predicting the efficacy of neoadjuvant therapy for pancreatic cancer.The research progresses in functional and quantitative imaging for evaluating and predicting the efficacy of neoadjuvant therapy of pancreatic cancer were reviewed in this article.

Gut microbial communities are likely remodeled in tandem with accumulated physiological decline during aging, yet there is limited understanding of gut microbiome variation in advanced age. Here, we performed a metagenomics-based enterotype analysis in a geographically homogeneous cohort of 367 enrolled Chinese individuals between the ages of 60 and 94 years, with the goal of characterizing the gut microbiome of elderly individuals and identifying factors linked to enterotype variations. In addition to two adult-like enterotypes dominated by Bacteroides (ET-Bacteroides) and Prevotella (ET-Prevotella), we identified a novel enterotype dominated by Escherichia (ET-Escherichia), whose prevalence increased in advanced age. Our data demonstrated that age explained more of the variance in the gut microbiome than previously identified factors such as type 2 diabetes mellitus (T2DM) or diet. We characterized the distinct taxonomic and functional profiles of ET-Escherichia, and found the strongest cohesion and highest robustness of the microbial co-occurrence network in this enterotype, as well as the lowest species diversity. In addition, we carried out a series of correlation analyses and co-abundance network analyses, which showed that several factors were likely linked to the overabundance of Escherichia members, including advanced age, vegetable intake, and fruit intake. Overall, our data revealed an enterotype variation characterized by Escherichia enrichment in the elderly population. Considering the different age distribution of each enterotype, these findings provide new insights into the changes that occur in the gut microbiome with age and highlight the importance of microbiome-based stratification of elderly individuals.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Bacteroides ; China ; Diabetes Mellitus, Type 2/microbiology* ; Escherichia coli/classification* ; Gastrointestinal Microbiome/genetics* ; Metagenomics ; East Asian People

Objective To observe the value of contrast-enhanced ultrasound(CEUS)for evaluating blood supply pattern of pancreatic ductal adenocarcinoma(PDAC).Methods A total of 210 single PDAC patients proved by pathology who underwent CEUS and contrast enhanced CT(CECT)examination were retrospectively enrolled.Blood supply patterns of PDAC,i.e.deficient or rich blood supply were evaluated based on findings of CEUS 25 s(CEUS-25 s)and 35 s(CEUS-35 s)after contrast agents injection and CECT,respectively.The evaluation results were compared among different methods.Disease free survival(DFS)and overall survival(OS)of patients with deficient and rich blood supply PDAC shown on CEUS-25 s were followed up and compared.Results CEUS-25 s found 60.00％(126/210)PDAC with deficient blood supply(poor blood supply group),while 40.00％(84/210)with rich blood supply(rich blood supply group).CEUS-35 s showed that the proportion deficient blood supply PDAC increased to 70.48％(148/210,P＜0.05),22 lesions changed from rich blood supply pattern on CEUS-25 s to deficient blood supply pattern.CECT displayed deficient blood supply in 91.90％(193/210)PDAC but rich blood supply in 8.10％(17/210)PDAC,both being significant different compared with results of CEUS-25 s and CEUS-35 s(both P＜0.05).Fifteen-five cases in deficient blood supply group and 39 in rich blood supply group completed 12(8,25)months'follow-up,and the median DFS of patients in deficient blood supply group and rich blood supply group was 8(6,10)and 12(7,17)months,respectively,with the median OS of 14(9,17)and 19(16,24)months,respectively.The median DFS and OS in poor blood supply group were both shorter than those in rich blood supply group(x2=17.227,27.166,both P＜0.001).Conclusion CEUS had important clinical value for evaluating blood supply pattern of PDAC.

Objective To observe the value of contrast-enhanced ultrasound(CEUS)for evaluating blood supply pattern of pancreatic ductal adenocarcinoma(PDAC).Methods A total of 210 single PDAC patients proved by pathology who underwent CEUS and contrast enhanced CT(CECT)examination were retrospectively enrolled.Blood supply patterns of PDAC,i.e.deficient or rich blood supply were evaluated based on findings of CEUS 25 s(CEUS-25 s)and 35 s(CEUS-35 s)after contrast agents injection and CECT,respectively.The evaluation results were compared among different methods.Disease free survival(DFS)and overall survival(OS)of patients with deficient and rich blood supply PDAC shown on CEUS-25 s were followed up and compared.Results CEUS-25 s found 60.00％(126/210)PDAC with deficient blood supply(poor blood supply group),while 40.00％(84/210)with rich blood supply(rich blood supply group).CEUS-35 s showed that the proportion deficient blood supply PDAC increased to 70.48％(148/210,P＜0.05),22 lesions changed from rich blood supply pattern on CEUS-25 s to deficient blood supply pattern.CECT displayed deficient blood supply in 91.90％(193/210)PDAC but rich blood supply in 8.10％(17/210)PDAC,both being significant different compared with results of CEUS-25 s and CEUS-35 s(both P＜0.05).Fifteen-five cases in deficient blood supply group and 39 in rich blood supply group completed 12(8,25)months'follow-up,and the median DFS of patients in deficient blood supply group and rich blood supply group was 8(6,10)and 12(7,17)months,respectively,with the median OS of 14(9,17)and 19(16,24)months,respectively.The median DFS and OS in poor blood supply group were both shorter than those in rich blood supply group(x2=17.227,27.166,both P＜0.001).Conclusion CEUS had important clinical value for evaluating blood supply pattern of PDAC.