ObjectiveTo investigate the effect and mechanism of Polygonatum neutral polysaccharides from sibiricum （PSP-NP） on colon injury in mice with chronic obstructive pulmonary disease （COPD）. MethodsMale C57BL/6J mice were randomly divided into a control group， a COPD model group， and a PSP-NP group. The COPD model was established using smoke exposure combined with intranasal LPS administration. The PSP-NP group was simultaneously treated daily with 200 mg/kg of PSP-NP via intragastric gavage， while the other groups received an equal volume of saline. HE staining was used to observe the pathological changes in the colon. ELISA was employed to detect the levels of LPS in serum and the expressions of ZO-1， Occludin， IL-6， and TNF-α in colon tissue. UPLC-MS was used to detect the types and contents of bile acids in colonic content， and to screen for differential bile acids. Differential microbial flora were identified using 16S rRNA gene sequencing， and correlation analysis was conducted with differential bile acids. PSP-NP was combined with the differential bile acids cholic acid （CA）， and deoxycholic acid （DCA） in vitro to analyze the binding capacity of PSP-NP for CA and DCA. PSP-NP was applied to NCM460 normal colonic epithelial cells cultured in CA and DCA. Cell migration ability was assessed using the scratch assay， and the mRNA expression levels of inflammatory cytokines TNF-α， IL-6， and NF-κB were measured by RT-qPCR. ResultsPSP-NP effectively improved colonic damage in COPD model mice， enhanced mechanical barrier function， alleviated inflammatory response， and regulated abnormal changes in colonic flora and bile acid metabolism. Correlation analysis further revealed that PSP-NP regulated colonic bile acid metabolism and reduced the redundancy of secondary bile acids by increasing the relative abundance of Bacteroidota， Verrucomicrobiota， Bacteroides， and Akkermansia， while decreasing the relative abundance of Lactobacillus and Bifidobacterium. Notably， in vitro binding assays demonstrated that PSP-NP bound to differential bile acids DCA and CA， with the strongest binding capacity for DCA at 58.2%. In cellular functional studies， DCA inhibited the migration ability of colonic epithelial cells NCM460 and significantly increased the relative mRNA expression levels of inflammatory factors TNF-α， IL-6， and NF-κB. Importantly， co-treatment with PSP-NP significantly ameliorated the impact of DCA on NCM460 cells. ConclusionsPSP-NP may significantly improve colonic damage in COPD model mice. The mechanism may involve the regulation of colonic bile acid metabolism and bile acid profiles through both microbial modulation and direct binding， thereby reducing the damage caused by secondary bile acids such as DCA to colonic epithelial cells.

Objective To investigate the expression of miR-30a-5p and miR-129-5p in the serum of patients with non-small cell lung cancer after EGFR targeted therapy and their relationship with the therapeutic effect.Methods A total of 186 patients with non-small cell lung cancer who received EGFR targeted therapy in our hospital from January 2020 to June 2022 were regarded as research objects.According to the efficacy of patients,they were separated into effective group(n=141)and ineffective group(n=45).The serum levels of miR-30a-5p and miR-129-5p were compared between the two groups;multivariate logistic regression was applied to analyze the factors influencing the efficacy of non-small cell lung cancer;receiver operating characteristic was applied to analyze the predictive value of serum miR-30a-5p,miR-129-5p levels for efficacy of non-small cell lung cancer.Results There were obvious differences in smoking history and TNM stage between the ineffective group and the effective group(P＜0.05).The expression levels of miR-30a-5p and miR-129-5p in the ineffective group were obviously lower than those in the effective group(P＜0.05).Multivariate logistic regression analysis showed that serum miR-30a-5p,miR-129-5p,smoking history,and TNM stage were all factors influencing the efficacy of non-small cell lung cancer(P＜0.05).Receiver operating characteristic showed that the AUC of the combination of serum miR-30a-5p and miR-129-5p to predict the efficacy of non-small cell lung cancer was 0.926,the sensitivity was 91.11％,and the specificity was 83.69％,which was better than their respective predictions(Z combination-miR-30a-5P=3.260,Zcombination-miR-129-5p=3.726,P=0.001,0.000).Conclusion The serum levels of miR-30a-5p and miR-129-5p in patients with non-small cell lung cancer who failed to respond to EGFR targeted therapy are obviously lower than those in the effective group;The combination of the two has a good predictive value for the efficacy of non-small cell lung cancer after EGFR targeted therapy.

BACKGROUND: Sarcopenia is an age-related progressive skeletal muscle disorder involving the loss of muscle mass or strength and physiological function. Efficient and precise AI algorithms may play a significant role in the diagnosis of sarcopenia. In this study, we aimed to develop a machine learning model for sarcopenia diagnosis using clinical characteristics and laboratory indicators of aging cohorts. METHODS: We developed models of sarcopenia using the baseline data from the West China Health and Aging Trend (WCHAT) study. For external validation, we used the Xiamen Aging Trend (XMAT) cohort. We compared the support vector machine (SVM), random forest (RF), eXtreme Gradient Boosting (XGB), and Wide and Deep (W&D) models. The area under the receiver operating curve (AUC) and accuracy (ACC) were used to evaluate the diagnostic efficiency of the models. RESULTS: The WCHAT cohort, which included a total of 4057 participants for the training and testing datasets, and the XMAT cohort, which consisted of 553 participants for the external validation dataset, were enrolled in this study. Among the four models, W&D had the best performance (AUC = 0.916 ± 0.006, ACC = 0.882 ± 0.006), followed by SVM (AUC =0.907 ± 0.004, ACC = 0.877 ± 0.006), XGB (AUC = 0.877 ± 0.005, ACC = 0.868 ± 0.005), and RF (AUC = 0.843 ± 0.031, ACC = 0.836 ± 0.024) in the training dataset. Meanwhile, in the testing dataset, the diagnostic efficiency of the models from large to small was W&D (AUC = 0.881, ACC = 0.862), XGB (AUC = 0.858, ACC = 0.861), RF (AUC = 0.843, ACC = 0.836), and SVM (AUC = 0.829, ACC = 0.857). In the external validation dataset, the performance of W&D (AUC = 0.970, ACC = 0.911) was the best among the four models, followed by RF (AUC = 0.830, ACC = 0.769), SVM (AUC = 0.766, ACC = 0.738), and XGB (AUC = 0.722, ACC = 0.749). CONCLUSIONS: The W&D model not only had excellent diagnostic performance for sarcopenia but also showed good economic efficiency and timeliness. It could be widely used in primary health care institutions or developing areas with an aging population. TRIAL REGISTRATION Chictr.org, ChiCTR 1800018895.
Humans ; Aged ; Sarcopenia/diagnosis* ; Deep Learning ; Aging ; Algorithms ; Biomarkers

OBJECTIVE: To explore the genetic basis for fetus with bilateral lateral ventriculomegaly. METHODS: Fetus umbilical cord blood and peripheral blood samples of its parents were collected. The fetus was subjected to chromosomal karyotyping, whilst the fetus and its parents were subjected to array comparative genomic hybridization (aCGH). The candidate copy number variation (CNV) were verified by qPCR, Application goldeneye DNA identification system was used to confirm the parental relationship. RESULTS: The fetus was found to have a normal karyotype. aCGH analysis indicated that it has carried a 1.16 Mb deletion at 17p13.3, which partially overlapped with the critical region of Miller-Dieker syndrome (MDS), in addition with a 1.33 Mb deletion at 17p12 region, which is associated with hereditary stress-susceptible peripheral neuropathy (HNPP). Its mother was also found to harbor the 1.33 Mb deletion at 17p12. qPCR analysis confirmed that the expression levels of genes from the 17p13.3 and 17p12 regions were about the half of that in the normal control, as well as the maternal peripheral blood sample. Parental relationship was confirmed between the fetus and its parents. Following genetic counseling, the parents has chosen to continue with the pregnancy. CONCLUSION The fetus was diagnosed with Miller-Dieker syndrome due to the de novo deletion at 17p13.3. Ventriculomegaly may be an important indicator for prenatal ultrasonography in fetuses with MDS.
Pregnancy ; Female ; Humans ; Classical Lissencephalies and Subcortical Band Heterotopias ; Comparative Genomic Hybridization ; DNA Copy Number Variations ; Fetus ; Hydrocephalus ; Prenatal Diagnosis ; Chromosome Deletion

OBJECTIVE: To explore the genetic characteristics of a fetus with a high risk by maternal serum screening during the second trimester. METHODS: Genetic counseling was provided to the pregnant woman on March 22, 2020 at Henan Provincial People's Hospital. G-banded chromosomal karyotyping and array comparative genomic hybridization (aCGH) were carried out on the amniotic fluid sample and peripheral blood samples from the couple. RESULTS: The fetus and the pregnant woman were respectively found to have a 46,XX,der(6)t(6;14)(q27;q31.2) and 46,XX,t(6;14)(q27;q31.2) karyotype, whilst the husband was found to have a normal karyotype. aCGH analysis has identified a 6.64 Mb deletion at 6q26q27 and a 19.98 Mb duplication at 14q31.3q32.33 in the fetus, both of which were predicted to be pathogenic copy number variations. No copy number variation was found in the couple. CONCLUSION The unbalanced chromosome abnormalities in the fetus have probably derived from the balanced translocation carried by the pregnant woman. aCGH can help to determine the types of fetal chromosome abnormalities and site of chromosomal breakage, which may facilitate the prediction of fetal outcome and choice for subsequent pregnancies.
Pregnancy ; Female ; Humans ; Comparative Genomic Hybridization ; DNA Copy Number Variations ; Translocation, Genetic ; Chromosome Aberrations ; Fetus ; Prenatal Diagnosis

Objective:To evaluate the quality of life (QoL) of Chinese chronic pancreatitis (CP) patients based on the Chinese version of the pancreatitis quality of life Instrument (PANQOLI) and explore its impact factors.Methods:404 patients with CP admitted to the Department of Gastroenterology of the First Affiliated Hospital of Naval Medical University between September 2021 and January 2022 were enrolled. The Chinese version of PANQOLI was used for questionnaire survey on QoL of CP patients. Univariate analysis and multiple linear regression analysis were used to explore the impact factors for QoL of CP patients.Results:The total score of QoL of 404 Chinese CP patients was 28-94(72.47±13.61), which declined by 29.64% compared to the highest total score (103) in the Chinese version of PANQOLI. Score of physical function, role function, emotional function, and self-worth domain was 25.63±4.84, 13.86±2.78, 16.98±6.21 and 16.00±4.65, respectively. Compared to the highest scores (30, 25, 24 and 24), the scores of aforementioned four domains declined by 14.57%, 44.56%, 29.25% and 33.33%, respectively. Univariate analysis showed that sex, age, employment status, smoking, alcohol consumption, and frequency of pancreatitis recurrence were significantly associated with QoL of CP patients. Multiple linear regression analysis indicated that older age (coefficient=-0.127), unemployment status (coefficient=-0.106), smoking (coefficient=-0.176), and high frequency of pancreatitis recurrence (coefficient=-0.123) were independent factors for QoL of CP patients (all P value <0.05). Conclusions:The Chinese version of PANQOLI could be effectively applied to Chinese CP patients. Older age, unemployment, smoking, and pancreatitis attacks were risk factors for QoL of CP patients, indicating that the formulation of personalized intervention measures may help to improve QoL of CP patients.

Bladder cancer (BC) is the most common malignant tumor of the genitourinary system. The age of individuals diagnosed with BC tends to decrease in recent years. A variety of standard therapeutic options are available for the clinical management of BC, but limitations exist. It is difficult to surgically eliminate small lesions, while radiation and chemotherapy damage normal tissues, leading to severe side effects. Therefore, new approaches are required to improve the efficacy and specificity of BC treatment. Synthetic biology is a field emerging in the last decade that refers to biological elements, devices, and materials that are artificially synthesized according to users' needs. In this review, we discuss how to utilize genetic elements to regulate BC-related gene expression periodically and quantitatively to inhibit the initiation and progression of BC. In addition, the design and construction of gene circuits to distinguish cancer cells from normal cells to kill the former but spare the latter are elaborated. Then, we introduce the development of genetically modified T cells for targeted attacks on BC. Finally, synthetic nanomaterials specializing in detecting and killing BC cells are detailed. This review aims to describe the innovative details of the clinical diagnosis and treatment of BC from the perspective of synthetic biology.
Humans ; Synthetic Biology ; Urinary Bladder Neoplasms/diagnosis*

Neurons in the primary auditory area (AUDp) innervate multiple brain regions with long-range projections while receiving informative inputs for diverse functions. However, the brain-wide connections of these neurons have not been comprehensively investigated. Here, we simultaneously applied virus-based anterograde and retrograde tracing, labeled the connections of excitatory and inhibitory neurons in the mouse AUDp, and acquired whole-brain information using a dual-channel fluorescence micro-optical sectioning tomography system. Quantified results showed that the two types of neurons received inputs with similar patterns but sent heterogeneous projections to downstream regions. In the isocortex, functionally different areas consistently sent feedback-dominated projections to these neurons, with concomitant laterally-dominated projections from the sensory and limbic cortices to inhibitory neurons. In subcortical regions, the dorsal and medial parts of the non-lemniscal auditory thalamus (AT) were reciprocally connected to the AUDp, while the ventral part contained the most fibers of passage from the excitatory neurons and barely sent projections back, indicating the regional heterogeneity of the AUDp-AT circuit. Our results reveal details of the whole-brain network and provide new insights for further physiological and functional studies of the AUDp.

Objective　To investigate the emotional state，sleep quality，living habits，and epidemic concerns during the period of prevention and control of coronavirus disease 2019（COVID-19）. Methods　We posted The Questionnaire on Sleep and Psychological Conditions During The COVID-19 Epidemic online，1046 people voluntarily filled it out. Pearson correlation was used to analyze the correlation between sleep quality and emotional state. Analysis the relationship between epidemic attention and emotional states by using t-test and multiple linear regression. Results　Anxiety and depression are common under the NPC epidemic. Significant correlations were found between sleep quality，living habits，depression and anxiety（P<0.01）. Multiple linear regression analysis suggested that living habits during the COVID-19 epidemic can positively predict sleep quality，and sleep quality can predict anxiety and depression. Conclusion　During the epidemic，individuals should pay attention to the identification and protection of psychological stress，which will improve the level of mental health during the epidemic.

Influenza is a contagious respiratory illness caused by influenza viruses that can result in seasonal epidemics and global influenza pandemic, which poses a serious public health challenges world-wide. The pathogenicity of influenza virus depends to a great extent on viral virulence and its immune escape. This review provides an overview of the current understanding for the mechanisms by which influenza viruses to escape the host′s immune response, which will facilitate the future studies on influenza pathogenesis and the development of anti-influenza therapeutics.