Pancreatic ductal adenocarcinoma (PDAC) is a highly malignant solid tumor of the digestive system, characterized by rapid progression and difficulties of early diagnosis. Five-year survival rate of the patients is less than 9%. With the acceleration of global population aging and lifestyle change, the incidence of PDAC has been increasing annually. Currently, surgical treatment and chemotherapy remain the standard treatment options for PDAC patients. Early symptoms of PDAC are so undetectable that most patients miss the optimal opportunity for radical surgical resection. Even among those who undergo surgery, the high recurrence rate remains a major problem. PDAC is known for its unique tumor microenvironment. The cellular and non-cellular components in the tumor microenvironment account for as much as 90% of the tumor stroma, presenting many potential targets for PDAC therapy. Activated pancreatic stellate cells within PDAC tissue express specific proteins and secrete various cytokines and metabolites, which directly contribute to the proliferation, invasion, and metastasis of PDAC cells. These elements are critical in extracellular matrix production, connective tissue hyperplasia, immune tolerance, and drug resistance. Immune cells, such as macrophages and neutrophils, exert immunosuppressive and tumor-promoting roles in PDAC progression. The extracellular matrix, which serve as a natural physical barrier, induces interstitial hypertension and reduces blood supply, thereby hindering the delivery of drugs to the tumor. Additionally, it helps the metastasis and differentiation of PDAC cells, reducing the efficacy of clinical chemotherapy and immunotherapy. Although chemotherapeutic agents like gemcitabine have been used in the clinical treatment of PDAC for more than 20 years, the curative effect is obstructed by their poor stability in the bloodstream, low cellular uptake, and poor targeting. While small-molecule inhibitors targeting mutations such as KRAS^G12C, BRCA, and NTRK fusion have shown great potential for molecular targeted treatments and gene therapies of PDAC, their broader application is limited by side effects and restricted scope of patients. The advancement of nanotechnology brings new strategies for PDAC treatment. By virtue of unique size characteristics and actual versatility, different drug-delivery nanosystems contribute to overcome the dense stromal barrier, prolong the circulation time of therapeutics and realize precise PDAC treatment by targeted drug delivery. Clinical nanodrugs such as albumin-bound paclitaxel (nab-paclitaxel) and irinotecan liposome greatly improve the pharmacokinetics of conventional chemotherapeutics and promote drug accumulation inside the tumor, thereby are applying to the first-line treatment of PDAC. It is noteworthy that none nanodrugs with active targeting design have been approved for clinical treatment yet, though many are in clinical trials. In this review, we discuss promising targeting strategies based on different nanodrug delivery systems for treatment of PDAC. One major nanostrategy focuses on the tumor cell targeting and its applications in chemotherapy, molecular targeting therapy, gene therapy, and immunotherapy of PDAC. Another nanostrategy targets the tumor microenvironment, which highlights the nanosystems specifically regulating pancreatic stellate cells, immune cells and the extracellular matrix. Recent progress of developing new nanotheraputics for breakthrough in the fight of PDAC are elaborated in this review. We also provide our perspectives on the challenges and opportunities in the field.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Cases of human infection with H7 subtype avian influenza virus(AIV)combined with five NA subtypes(N2,N3,N4,N7,and N9)have been reported.This study was aimed at establishing a method for simultaneous detection and dif-ferential diagnosis of H7 and five NA subtypes of AIV.Seven pairs of specific primers were designed according to the conserved sequences of the HA gene of H7 subtype AIV,the NA gene of five NA AIV subtypes,and the M gene of all AIV subtypes.A high-throughput GeXP typing method was established for simultaneous detection of the H7 subtype and the five NA subtypes of AIV by using GeXP multiple gene expression and capillary electrophoresis analysis technology.The specificity and sensitivity of the method were determined,and clinical samples were tested.The specificity results indicated that this method was able to simultaneously detect seven target genes in a single tube;each pair of specific primers was able to detect the corresponding AIV subtype,and the universal detection primers were able to detect all subtypes of AIV,with no cross-reaction with other common avian disease pathogens.Sensitivity results demonstrated that this method was able to simultaneously detect seven target genes with a threshold detection limit was 100 copies/μL.The detection results for 150 clinical samples were consistent with those of viral isolation and identification.The high-throughput GeXP method for simultaneous differential diagnosis of the H7 subtype and five subtypes of AIV established in this study has advantages of high specificity,high sensitivity,rapidity,and simplicity,thus providing a new detection method for the effective prevention and control of AIV.

Objective: To establish and validate a nomogram-based predictive model for idiopathic hyperaldosteronism (IHA). Methods: This cross-sectional study was conducted with the collected clinical and biochemical data of patients with primary aldosteronism (PA) including 249 patients with unilateral primary aldosteronism (UPA) and 107 patients with IHA, who were treated at the Department of Endocrinology of the First Affiliated Hospital of Chongqing Medical University from November 2013 to November 2022. Plasma aldosterone concentration (PAC) and plasma renin concentration (PRC) were measured by chemiluminescence. Stepwise regression analysis was applied to select the key predictors of IHA, and a nomogram-based scoring model was developed. The model was validated in another external independent cohort of patients with PA including 62 patients with UPA and 43 patients with IHA, who were diagnosed at the Department of Endocrinology, First Affiliated Hospital of Zhengzhou University. An independent-sample t test, Mann-Whitney U test, and χ² test were used for statistical analysis. Results: In the training cohort, in comparison with the UPA group, the IHA group showed a higher serum potassium level [M(Q₁, Q₃), 3.4 (3.1, 3.8) mmol/L vs. 2.7 (2.1, 3.1) mmol/L] and higher PRC [4.0 (2.1, 8.2) mU/L vs. 1.5 (0.6, 3.4) mU/L] and a lower PAC post-saline infusion test (SIT) [305 (222, 416) pmol/L vs. 720 (443, 1 136) pmol/L] and a lower rate of unilateral adrenal nodules [33.6% (36/107) vs. 81.1% (202/249)]; the intergroup differences in these measurements were statistically significant (all P<0.001). Serum potassium level, PRC, PAC post-SIT, and the rate of unilateral adrenal nodules showed similar performance in the IHA group in the validation cohort. After stepwise regression analysis for all significant variables in the training cohort, a scoring model based on a nomogram was constructed, and the predictive parameters included the rate of unilateral adrenal nodules, serum potassium concentration, PAC post-SIT, and PRC in the standing position. When the total score was ≥14, the model showed a sensitivity of 0.65 and specificity of 0.90 in the training cohort and a sensitivity of 0.56 and specificity of 1.00 in the validation cohort. Conclusion: The nomogram was used to successfully develop a model for prediction of IHA that could facilitate selection of patients with IHA who required medication directly.
Humans ; Hyperaldosteronism/diagnosis* ; Nomograms ; Hypertension ; Cross-Sectional Studies ; Aldosterone ; Saline Solution ; Renin ; Potassium

Humans ; Gemcitabine ; Neoplasms

AIM:To compare the choroidal parameters in children and adolescents with different refractive status, and to investigate the associations between ocular biometrics and choroidal parameters.METHODS:A cross sectional study. A total of 121 healthy children and adolescents(121 right eyes)aged 3-18 years treated in the Second People's Hospital of Hefei were collected. The data were divided into three groups according to spherical equivalent refraction(SER): emmetropia(-0.500.05). TCA, LA, SA, CT and CVI were found to be statistically different among the three groups after age correction(all P<0.001), and there were differences in pairwise comparisons of TCA, LA, SA and CT among the three groups(all P<0.001), which were the highest in emmetropic eyes and lowest in moderate-to-high myopic eyes, However, the CVI in pairwise comparisons among the three groups showed that only the moderate-to-high myopia group was significantly lower than the emmetropic group(P=0.014). Multiple regression analysis showed that the LA was significantly associated with SER(P=0.020), whereas CT were significantly associated with the axial length(AL)(P=0.028).CONCLUSIONS: The choroidal LA and CVI tend to decrease in children and adolescents with higher myopia, indicating that the decrease of sub-foveal choroidal blood flow may be related to the progression of myopia.

Purpose: Cerebral ischemia is related to insufficient blood supply and is characterized by abnormal reactive oxygen species (ROS) production and cell apoptosis. Previous studies have revealed a key role for basic helix-loop-helix family member e40 (Bhlhe40) in oxidative stress and cell apoptosis. This study aimed to investigate the roles of miR-494-3p in cerebral ischemia/reperfusion (I/R) injury. Materials and Methods: A mouse middle cerebral artery occlusion (MCAO/R) model was established to mimic cerebral ischemia in vivo. Brain infarct area was assessed using triphenyl tetrazolium chloride staining. Oxygen-glucose deprivation/reoxygenation (OGD/R) operation was adopted to mimic neuronal injury in vitro. Cell apoptosis was analyzed by flow cytometry. The relationship between miR-494-3p and Bhlhe40 was validated by luciferase reporter and RNA immunoprecipitation assays. Results: Bhlhe40 expression was downregulated both in MCAO/R animal models and OGD/R-induced SH-SY5Y cells. Bhlhe40 overexpression inhibited cell apoptosis and reduced ROS production in SH-SY5Y cells after OGD/R treatment. MiR-494-3p was verified to bind to Bhlhe40 and negatively regulate Bhlhe40 expression. Additionally, cell apoptosis and ROS production in OGD/ R-treated SH-SY5Y cells were accelerated by miR-494-3p overexpression. Rescue experiments suggested that Bhlhe40 could reverse the effects of miR-494-3p overexpression on ROS production and cell apoptosis. Conclusion MiR-494-3p exacerbates brain injury and neuronal injury by regulating Bhlhe40 after I/R.

OBJECTIVE: The aim was to identify the gene expressions of human cytomegalovirus (HCMV)-infected human umbilical vein endothelial cells (HUVECs) and to study its possible pathogenic mechanism on atherosclerosis using microarray technology. METHODS: The gene expression differences in HCMV AD169 strain-infected HUVECs were studied by the microarray technology to explore the potential molecular mechanism of HCMV infection. The qPCRs were performed to verify the transcriptome results. RESULTS: A total of 2,583 differentially expressed genes, including 407 down-regulated genes and 2,176 up-regulated genes, were detected by the systematic bioinformatics analysis. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses showed that the significantly differentially expressed genes were mainly involved in regulating protein kinase activity, inflammatory response, ubiquitination, protein phosphorylation, cell metabolism, and exosomes, among which 12 genes had significant changes and were screened by protein-protein interaction (PPI) analysis and verified by qPCR. The experimental qPCR results were consistent with the microarray results. CONCLUSION The GO and KEGG analyses revealed that the regulation of protein kinase activity, inflammatory response, ubiquitination, protein phosphorylation, and cell metabolism played important roles in the process of endothelial cell infection. Furthermore, 12 genes were involved in the process of HCMV infection of endothelial cells and contributed to the current understanding of the infection and pathogenic mechanisms of atherosclerosis.
Humans ; Cytomegalovirus/genetics* ; Human Umbilical Vein Endothelial Cells ; Atherosclerosis ; Protein Kinases ; RNA, Messenger

Objective: To understand the prevalence of chronic kidney disease (CKD) and related factors in adults in Anhui province based on the data of Chinese Chronic Diseases and Nutrition Surveillance program (2018) in Anhui. Methods: Multi-stage stratified cluster random sampling was used to select participants aged ≥18 years. Moreover, questionnaire survey, body measurements and laboratory tests were conducted. The complex weighting method was used to estimate the prevalence of CKD in residents with different characteristics, and complex sampling data logistic regression model was used for multivariate analysis to identify related risk factors. Results: A total of 7 181 participants were included. The overall prevalence of CKD was 11.06% in adults in Anhui, and the prevalence was 12.49% in women and 9.59% in men (P<0.05). The moderate, high and very high risk for CKD progression were 8.66%, 2.02% and 0.38%, respectively. Multivariate analysis showed that age (OR=1.03, 95%CI: 1.00-1.05), BMI (OR=1.05, 95%CI: 1.01-1.09), being woman (OR=1.38,95%CI: 1.22-1.55), hypertension (OR=2.50, 95%CI: 1.76-3.56), diabetes (OR=2.28, 95%CI: 1.51-3.43), dyslipidemia (OR=1.26, 95%CI: 1.11-1.43) and hyperuricemia (OR=2.16, 95%CI: 1.68-2.78) were risk factors for CKD. Conclusion: The prevalence of CKD in adults in Anhui was relatively high and age, gender, BMI, hypertension, diabetes, dyslipidemia and hyperuricemia were found to be associated with the prevalence of CKD. To prevent CKD and its complications, attention should be paid to the management of related risk factors, including overweight and obesity, hypertension, diabetes, dyslipidemia and hyperuricemia.
Adult ; Male ; Female ; Humans ; Adolescent ; Cross-Sectional Studies ; Prevalence ; Hyperuricemia/epidemiology* ; Renal Insufficiency, Chronic/epidemiology* ; Hypertension/epidemiology*

Diatom test is the main laboratory test method in the diagnosis of drowning in forensic medicine. It plays an important role in differentiating the antemortem drowning from the postmortem drowning and inferring drowning site. Artificial intelligence (AI) automatic diatom test is a technological innovation in forensic drowning diagnosis which is based on morphological characteristics of diatom, the application of AI algorithm to automatic identification and classification of diatom in tissues and organs. This paper discusses the morphological diatom test methods and reviews the research progress of automatic diatom recognition and classification involving AI algorithms. AI deep learning algorithm can assist diatom testing to obtain objective, accurate, and efficient qualitative and quantitative analysis results, which is expected to become a new direction of diatom testing research in the drowning of forensic medicine in the future.
Artificial Intelligence ; Autopsy ; Diatoms ; Drowning/diagnosis* ; Humans ; Lung