Circular RNA circ-MTHFD1L induces HR repair to promote gemcitabine resistance via the miR-615-3p/RPN6 axis in pancreatic ductal adenocarcinoma

BACKGROUND

Chemoresistance of pancreatic cancer is the main reason for the poor treatment effect of pancreatic cancer patients. Exploring chemotherapy resistance-related genes has been a difficult and hot topic of oncology. Numerous studies implicate the key roles of circular RNAs (circRNAs) in the development of pancreatic cancer. However, the regulation of circRNAs in the process of pancreatic ductal adenocarcinoma (PDAC) chemotherapy resistance is not yet fully clear.

METHODS

Based on the cross-analysis of the Gene Expression Omnibus (GEO) database and the data of our center, we explored a new molecule, hsa_circ_0078297 (circ-MTHFD1L), related to chemotherapy resistance. QRT-PCR was used to detect the expression of circRNAs, miRNAs, and mRNAs in human PDAC tissues and their matched normal tissues. The interaction between circ-MTHFD1L and miR-615-3p/RPN6 signal axis was confirmed by a series of experiments such as Dual-luciferase reporter assay, fluorescence in situ hybridization (FISH) RNA immunoprecipitation (RIP) assays.

RESULTS

Circ-MTHFD1L was significantly increased in PDAC tissues and cells. And in PDAC patients, the higher the expression level of circ-MTHFD1L, the worse the prognosis. Mechanism analysis showed that circ-MTHFD1L, as an endogenous miR-615-3p sponge, upregulates the expression of RPN6, thereby promoting DNA damage repair and exerting its effect on enhancing gemcitabine chemotherapy resistance. More importantly, we also found that Silencing circ-MTHFD1L combined with olaparib can increase the sensitivity of pancreatic cancer to gemcitabine.

CONCLUSION

Circ-MTHFD1L maintains PDAC gemcitabine resistance through the miR-615-3p/RPN6 signal axis. Circ-MTHFD1L may be a molecular marker for the effective treatment of PDAC.

Comparative Expression Profiling Reveals Genes Involved in Megasporogenesis

Megasporogenesis is a key step during ovule development in angiosperms, but the small number and inaccessibility of these cells have hampered molecular and genome-wide studies. Thus, many questions remain regarding the molecular basis of cell specification, differentiation, and development in the female gametophyte. Here, taking advantage of the correlation between spikelet length and ovule development in rice (Oryza sativa), we studied the transcriptome dynamics of young ovules at three stages, the archesporial cell, the megaspore mother cell before meiosis, and the functional megaspore after meiosis, using expression profiling based on RNA sequencing. Our analysis showed that 5,274 genes were preferentially expressed in ovules during megasporogenesis as compared to ovules at the mature female gametophyte stage. Out of these, 958 (18.16%) genes were archesporial cell- and/or megaspore mother cell-preferential genes, and represent a significant enrichment of genes involved in hormone signal transduction and plant pathogen interaction pathways, as well as genes encoding transcription factors. The expression patterns of nine genes that were preferentially expressed in ovules of different developmental stages, including the OsERECTA2 (OsER2) receptor-like kinase gene, were confirmed by in situ hybridization. We further characterized the OsER2 loss-of-function mutant, which had an excessive number of female germline cells and an abnormal female gametophyte, suggesting that OsER2 regulates germline cell specification during megasporogenesis in rice. These results expand our understanding of the molecular control of megasporogenesis in rice and contribute to the functional studies of genes involved in megasporogenesis.

Trophoblast PR-SET7 dysfunction induces viral mimicry response and necroptosis associated with recurrent miscarriage

Recurrent miscarriage (RM) is a distressing pregnancy complication. While the etiology of RM remains unclear, growing evidence has indicated the relevance of trophoblast impairment to the pathogenesis of RM. PR-SET7 is the sole enzyme catalyzing monomethylation of H4K20 (H4K20me1) and has been implicated in many pathophysiological processes. However, how PR-SET7 functions in trophoblasts and its relevance to RM remain unknown. Here, we found that trophoblast-specific loss of Pr-set7 in mice led to defective trophoblasts, resulting in early embryonic loss. Mechanistic analysis revealed that PR-SET7 deficiency in trophoblasts derepressed endogenous retroviruses (ERVs), leading to double-stranded RNA stress and subsequent viral mimicry, which drove overwhelming interferon response and necroptosis. Further examination discovered that H4K20me1 and H4K20me3 mediated the inhibition of cell-intrinsic expression of ERVs. Importantly, dysregulation of PR-SET7 expression and the corresponding aberrant epigenetic modifications were observed in the placentas of RM. Collectively, our results demonstrate that PR-SET7 acts as an epigenetic transcriptional modulator essential for repressing ERVs in trophoblasts, ensuring normal pregnancy and fetal survival, which sheds new light on potential epigenetic causes contributing to RM.

Epidemiology of resistance of carbapenemase-producing Klebsiella pneumoniae to ceftazidime-avibactam in a Chinese hospital

AIMS

Klebsiella pneumoniae has been reported to develop increased antibiotic resistance. Ceftazidime-avibactam (CZA) is a novel antibiotic with activity against serine-lactamase. Here, we investigated the sensitivity of carbapenem-resistant K. pneumoniae (CRKP) to CZA and the mechanisms of drug resistance in our hospital.

METHODS AND RESULTS

Patient characteristics were obtained from medical records. K. pneumoniae and its antibiotic susceptibility were determined using the Vitek-2 Compact instrument. The antibiotic resistance genes KPC, NDM, OXA-48, VIM, IMP, CIM, SPM, TMB, SMB, SIM, AIM and DIM were detected using real-time PCR. Multilocus sequence typing was used for genetic RELATEDNESS analysis. In total, 121 CRKP strains were isolated from patients in the intensive care unit (51·2%), senior ward (12·4%) and neurosurgery department (10%). With an average age of 72·5 years, most patients were in care for respiratory (34·7%), brain (20·7%), digestive tract (13·2%) and cardiovascular (8·3%) diseases. Specimens were predominantly obtained from sputum (39·67%), urine (29·75%) and blood (6·61%).

CONCLUSION

Of 23 CZA-resistant CRKP strains (19·01%), ST11 being the most common at 56·52%, 11 NDM-1-positive (47·83%) and four NDM-5-positive (17·39%) strains were detected.

SIGNIFICANCE AND IMPACT OF THE STUDY

Our study indicates that CZA resistance occurs in ~19·01% CRKP strains and that blaNDM-1 and blaNDM-5 might be critical for resistance.

Distract Your Attention: Multi-Head Cross Attention Network for Facial Expression Recognition

This paper presents a novel facial expression recognition network, called Distract your Attention Network (DAN). Our method is based on two key observations in biological visual perception. Firstly, multiple facial expression classes share inherently similar underlying facial appearance, and their differences could be subtle. Secondly, facial expressions simultaneously exhibit themselves through multiple facial regions, and for recognition, a holistic approach by encoding high-order interactions among local features is required. To address these issues, this work proposes DAN with three key components: Feature Clustering Network (FCN), Multi-head Attention Network (MAN), and Attention Fusion Network (AFN). Specifically, FCN extracts robust features by adopting a large-margin learning objective to maximize class separability. In addition, MAN instantiates a number of attention heads to simultaneously attend to multiple facial areas and build attention maps on these regions. Further, AFN distracts these attentions to multiple locations before fusing the feature maps to a comprehensive one. Extensive experiments on three public datasets (including AffectNet, RAF-DB, and SFEW 2.0) verified that the proposed method consistently achieves state-of-the-art facial expression recognition performance. The DAN code is publicly available.

Comparison of effects of different dietary interventions on cognitive function in Alzheimer's disease: protocol for systematic review and network meta-analysis

INTRODUCTION

Alzheimer's disease (AD) is the most common neurodegenerative disease and is characterised by cognitive impairment. Non-pharmacological treatments such as diet therapy have been widely investigated in studies on AD. Given the synergistic effects of nutrients present in foods, considering overall dietary composition rather than focusing on a single nutrient may be more useful for evaluating the relationship between diet and AD cognition. The present study aimed to assess the efficacy of different dietary interventions (eg, ketogenic and Mediterranean diets) on cognitive function in patients with AD in a systematic review and pairwise and network meta-analyses of randomised controlled trials or clinical trials.

METHODS AND ANALYSIS

Two reviewers will independently conduct searches of PubMed, Cochrane Central Register of Controlled Trials, Embase, CINAHL, PsycINFO and China National Knowledge Infrastructure databases. Data will be extracted from selected studies and risk of bias will be assessed using the revised Cochrane risk-of-bias tool, and evidence quality will be assessed according to the Grading of Recommendations, Assessment, Development and Evaluation framework. The primary outcome of interest is cognitive function in patients with AD; secondary outcomes include biochemical biomarkers of AD and oxidative stress and/or inflammatory biomarkers in cerebrospinal fluid or plasma. For each outcome, random-effects pairwise and network meta-analyses will be carried out to determine the pooled relative effect of each intervention relative to every other intervention.

ETHICS AND DISSEMINATION

As this study is based solely on published literature, no ethics approval is required. The research will be published in a peer-reviewed journal.

CRISPR/Cas9-mediated knockout of period reveals its function in the circadian rhythms of the diamondback moth Plutella xylostella

Circadian clocks control the rhythmicity of many behaviors and physiological features of insects. To study the circadian clock of the moth Plutella xylostella, we employed CRISPR/Cas9-mediated genome editing to investigate the effect of loss of the clock gene period on the circadian rhythms. P. xylostella harbors a single copy of period. Phylogenetic analysis showed that P. xylostella PERIOD is more homologous to mouse PERIOD than the PERIOD proteins from bees, flies, mosquitos, and many other Lepidoptera, such as Danaus plexippus and Bombyx mori. The circadian rhythms in adult locomotor activity were altered in the period knockout strain of P. xylostella under light-dark (LD) and continuous dark (DD) conditions. Under the LD cycle, the wild-type moths displayed nocturnal activity with activity peaking very early after lights off and quickly declining after lights on. In contrast, the period knockout strain had no peak in activity when the lights were turned off and exhibited steady activity throughout the hours of darkness. Interestingly, under DD conditions, our results showed that the locomotor rhythm can be maintained without period gene, but at a lower rhythmicity ratio than wild-type. In addition, knockout of period in P. xylostella changed circadian rhythms patterns related to pupal eclosion, mating, egg-laying, and egg hatching. Mechanistically, loss of PERIOD disrupted the molecular rhythm of period and changed the clock transcription rhythm in the heads of the moths under LD and DD conditions. Together, our study indicates that the PERIOD is required for normal expression of many behavioral rhythms in P. xylostella.

Prognostic Implication of Plasma Metabolites in Gastric Cancer

Gastric cancer (GC) typically carries a poor prognosis as it is often diagnosed at a late stage. Altered metabolism has been found to impact cancer outcomes and affect patients' quality of life, and the role of metabolites in gastric cancer prognosis has not been sufficiently understood. We aimed to establish a prognostic prediction model for GC patients based on a metabolism-associated signature and identify the unique role of metabolites in the prognosis of GC. Thus, we conducted untargeted metabolomics to detect the plasma metabolites of 218 patients with gastric adenocarcinoma and explored the metabolites related to the survival of patients with gastric cancer. Firstly, we divided patients into two groups based on the cutoff value of the abundance of each of the 60 metabolites and compared the differences using Kaplan-Meier (K-M) survival analysis. As a result, 23 metabolites associated with gastric cancer survival were identified. To establish a risk score model, we performed LASSO regression and Cox regression analysis on the 60 metabolites and identified 8 metabolites as an independent prognostic factor. Furthermore, a nomogram incorporating clinical parameters and the metabolic signature was constructed to help individualize outcome predictions. The results of the ROC curve and nomogram plot showed good predictive performance of metabolic risk features. Finally, we performed pathway analysis on the 24 metabolites identified in the two parts, and the results indicated that purine metabolism and arachidonic acid metabolism play important roles in gastric cancer prognosis. Our study highlights the important role of metabolites in the progression of gastric cancer and newly identified metabolites could be potential biomarkers or therapeutic targets for gastric cancer patients.

Immunoproteasome Subunit Low Molecular Mass Peptide 2 (LMP2) Deficiency Ameliorates LPS/Aβ1-42-Induced Neuroinflammation

Low molecular mass peptide 2 (LMP2) is the β1i subunit of immunoproteasome (iP) which plays a key role in neuroinflammatory responses, and inhibition of iP exhibits a high neuroprotective action against neurodegenerative diseases. Since neuroinflammation has been shown to be involved in the development and progression of Alzheimer's disease (AD), the aim of this study was to evaluate the anti-inflammatory role of LMP2 deficiency in AD in vivo and in vitro. Here, we found that LMP2 was upregulated in the brains of 5 × FAD and APP/PS1 mice and increased with age in C57/BL6 mice. We showed that the lack of LMP2 significantly decreased NLRP3 expression and downstream cytokine release in microglia, resulting in partially blocking Aβ1-42- or LPS-induced inflammation in vivo and in vitro, which ameliorated cognitive deficits in aged rats and D-galactose + Aβ1-42-treated rats. These results suggest that LMP2 contributes to the regulation of LPS-or Aβ-driven innate immune responses by diminishing NLRP3 expression and clarify that inhibition of iP function may mediate the inflammatory-related cognitive phenotype.

Association Between Zinc Ion Concentrations in Seminal Plasma and Sperm Quality: A Chinese Cross-Sectional Study

This study investigates the impacts of zinc ion concentration in in seminal plasma and the total amount of Zn2+ per ejaculation on sperm quality evaluation parameters. In addition, we assessed the reliability of using zinc content in seminal plasma to evaluate sperm quality. We analyzed semen from 964 men and found that men over 40 years old had significantly lower concentrations of Zn2+ in ejaculated semen compared to other age groups (p < 0.05), with no significant difference in Zn2+ concentrations among other age groups (p > 0.05). The total amount of Zn2+ in one ejaculation did not show a statistical difference between the normal semen and the abnormal semen groups (p > 0.05). Statistical differences were observed in sperm kinetic parameters and DNA fragmentation index between the normal Zn2+ total amount group and the abnormal group (p < 0.05). However, there was no statistical difference in morphological parameters (p > 0.05). Spearman correlation analysis showed a negative correlation between Zn2+ concentrations in seminal plasma, age, and sperm fructose and a positive correlation between semen volume, abstinence time, sperm concentration, neutral α-glycosidase, and citric acid content (p < 0.05). The receiver operating characteristic curve analysis demonstrated that Zn2+ concentrations had poor accuracy and specificity in assessing sperm quality (p > 0.05). Although there is a partial correlation between Zn2+ concentrations in seminal plasma and certain semen quality parameters, relying solely on Zn2+ concentrations to evaluate sperm quality lacks accuracy and specificity.

Apigenin Alleviates Allodynia and Hyperalgesia in a Mouse Model of Chemotherapy-Induced Peripheral Neuropathy via Regulating Microglia Activation and Polarization

BACKGROUND

Apigenin has been reported to exhibit anti-inflammatory and anti-oxidative activities. This study aimed to investigate the protective role of Apigenin on chemotherapy-induced peripheral neuropathy (CIPN).

METHODS

CIPN mouse model was established using Paclitaxel treatment. Hot plate and tail prick latency tests were performed to examine the allodynia and hyperalgesia behaviors. Anti-inflammatory and anti-oxidative effects of Apigenin on CIPN were determined by enzyme-linked immunosorbent (ELISA) assay, Western blot, and qRT-PCR. Nuclear recruitment of nuclear factor erythroid 2-related factor 2 (NRF2) was analyzed to evaluate the underlying mechanisms of the protective effects of Apigenin.

RESULTS

Apigenin significantly alleviated CIPN-induced nociceptive behaviors of CIPN mice. It also decreased the TNF-α and IL-1β levels, suppressed oxidative stress and inflammation in the surgical spinal cord tissues. Mechanistically, Apigenin altered the pro-inflammatory and anti-inflammatory phenotypes ratio of microglia through promoting the nuclear recruitment of NRF2 and activating the NRF2/Antioxidant Response Element (ARE) signaling pathway.

CONCLUSIONS

In summary, Apigenin relieves CIPN by regulating microglia activation and polarization, which provides a potential therapeutic strategy for CIPN treatment.

Effect of doxofylline on pulmonary inflammatory response and oxidative stress during mechanical ventilation in rats with COPD

OBJECTIVE

To evaluate the effects of doxofylline on inflammatory responses and oxidative stress during mechanical ventilation in rats with chronic obstructive pulmonary disease (COPD).

METHODS

Eight-week-old male Sprague Dawley rats were selected, and the COPD rat model was constructed. The rats were randomly divided into a model group (group M), a model + normal saline group (group N), a doxofylline group (group D), and a control group fed with conventional chow and given normal oxygen supply (group C) (n = 12 in each group). Tracheal intubation and mechanical ventilation were conducted in the rats in each group after anesthesia. A real-time intravenous infusion with 50 mg/kg of doxofylline was conducted in group D, and there was no drug intervention in groups C, N and M. Pathological manifestations of the pulmonary tissues were observed and compared among the groups. And some indicators were evaluated.

RESULTS

(1) The pulmonary tissues of the rats in groups M, N, and D exhibited typical pathological histological changes of COPD. (2) Groups M, N, and D showed increased Ppeak, PaCO2, total white blood cell count in BALF, and IL-8, TNF-α, and MDA levels in the pulmonary tissue and BALF, and decreased PaO2 and IL-10 and SOD levels, compared with group C. (3). Group D showed decreased Ppeak, PaCO2, total white blood cell count in BALF, and IL-8, TNF-α, and MDA levels in the pulmonary tissue, and increased PaO2 and IL-10 and SOD levels, compared with group N or M.

CONCLUSION

Doxofylline was shown to improve ventilation and air exchange during mechanical ventilation in rats with COPD, reduce the inflammatory response and oxidative stress, and mitigate the degree of pulmonary tissue injury.

CFHTF2 Is Needed for Vegetative Growth, Conidial Morphogenesis and the Osmotic Stress Response in the Tea Plant Anthracnose (Colletotrichum fructicola)

Tea is an important cash crop worldwide, and its nutritional value has led to its high economic benefits. Tea anthracnose is a common disease of tea plants that seriously affects food safety and yield and has a far-reaching impact on the sustainable development of the tea industry. In this study, phenotypic analysis and pathogenicity analysis were performed on knockout and complement strains of HTF2-the transcriptional regulator of tea anthracnose homeobox-and the pathogenic mechanism of these strains was explored via RNA-seq. The MoHox1 gene sequence of the rice blast fungus was indexed, and the anthracnose genome was searched for CfHTF2. Evolutionary analysis recently reported the affinity of HTF2 for C. fructicola and C. higginsianum. The loss of CfHTF2 slowed the vegetative growth and spore-producing capacity of C. fructicola and weakened its resistance and pathogenesis to adverse conditions. The transcriptome sequencing of wild-type N425 and CfHTF2 deletion mutants was performed, and a total of 3144 differentially expressed genes (DEGs) were obtained, 1594 of which were upregulated and 1550 of which were downregulated. GO and KEGG enrichment analyses of DEGs mainly focused on signaling pathways such as the biosynthesis of secondary metabolites. In conclusion, this study lays a foundation for further study of the pathogenic mechanism of tea anthracnose and provides a molecular basis for the analysis of the pathogenic molecular mechanism of CfHTF2.

Exploring the Prognosis-Related Genetic Variation in Gastric Cancer Based on mGWAS

The use of metabolome genome-wide association studies (mGWAS) has been shown to be effective in identifying functional genes in complex diseases. While mGWAS has been applied to biomedical and pharmaceutical studies, its potential in predicting gastric cancer prognosis has yet to be explored. This study aims to address this gap and provide insights into the genetic basis of GC survival, as well as identify vital regulatory pathways in GC cell progression. Genome-wide association analysis of plasma metabolites related to gastric cancer prognosis was performed based on the Generalized Linear Model (GLM). We used a log-rank test, LASSO regression, multivariate Cox regression, GO enrichment analysis, and the Cytoscape software to visualize the complex regulatory network of genes and metabolites and explored in-depth genetic variation in gastric cancer prognosis based on mGWAS. We found 32 genetic variation loci significantly associated with GC survival-related metabolites, corresponding to seven genes, VENTX, PCDH 7, JAKMIP1, MIR202HG, MIR378D1, LINC02472, and LINC02310. Furthermore, this study identified 722 Single nucleotide polymorphism (SNP) sites, suggesting an association with GC prognosis-related metabolites, corresponding to 206 genes. These 206 possible functional genes for gastric cancer prognosis were mainly involved in cellular signaling molecules related to cellular components, which are mainly involved in the growth and development of the body and neurological regulatory functions related to the body. The expression of 23 of these genes was shown to be associated with survival outcome in gastric cancer patients in The Cancer Genome Atlas (TCGA) database. Based on the genome-wide association analysis of prognosis-related metabolites in gastric cancer, we suggest that gastric cancer survival-related genes may influence the proliferation and infiltration of gastric cancer cells, which provides a new idea to resolve the complex regulatory network of gastric cancer prognosis.

[Epidemiological characteristics of typhoid fever in Fujian Province, 2011-2022]

Objective: To analyze the incidence trend and epidemiological characteristics of typhoid fever in Fujian Province from 2011 to 2022, and understand the high-incidence population and hotspot areas, and provide evidences to develop more targeted prevention and control measures. Methods: The surveillance data of typhoid fever during 2011-2022 in Fujian Province were obtained from the National Disease Reporting Information System and analyzed with SAS 9.4. The spatial autocorrelation analysis of typhoid fever incidence at county/district levels was performed with ArcGlS 10.8. Results: A total of 5 126 cases of typhoid fever were reported in Fujian Province from 2011 to 2022, with an average annual incidence rate of 1.10/100 000. The average annual incidence rate was 0.96/100 000 from 2011 to 2015, 1.49/100 000 from 2016 to 2019, and 0.81/100 000 from 2020 to 2022. The disease occurred all the year round, with high epidemic season from May to September. A total of 23.59% (1 209/5 126) of the cases occurred at the age of 0-4, and 9.62% (493/5 126) at the age of 5-9. The male to female ratio of the cases was 0.97∶1 (2 524∶2 602) for the whole population, 1.19∶1 (925∶777) for people under 10 years old, 0.75∶1 (1 060∶1 404) for people between 10 and 54 years old, and 1.28∶1 (539∶421) for people over 55 years old. Cases in Ningde City accounted for 30.65% (1 571/5 126) of the total cases. Most hotspots were occurred in Ningde City. Recurrent and clustered cases were found in family members. Conclusions: Typhoid fever was prevalent at a low level in Fujian Province during 2011-2022, indicating that strengthening the prevention and control measures should target key areas and populations. The incidence of typhoid fever in Fujian Province showed spatial aggregation phenomenon, and most cases gathered in Ningde City. Intensive study for the influencing factors of spatial clustering should be conducted.

The Fermentation Degree Prediction Model for Tieguanyin Oolong Tea Based on Visual and Sensing Technologies

The fermentation of oolong tea is a critical process that determines its quality and flavor. Current fermentation control relies on tea makers' sensory experience, which is labor-intensive and time-consuming. In this study, using Tieguanyin oolong tea as the research object, features including the tea water loss rate, aroma, image color, and texture were obtained using weight sensors, a tin oxide-type gas sensor, and a visual acquisition system. Support vector regression (SVR), random forest (RF) machine learning, and long short-term memory (LSTM) deep learning algorithms were employed to establish models for assessing the fermentation degree based on both single features and fused multi-source features, respectively. The results showed that in the test set of the fermentation degree models based on single features, the mean absolute error (MAE) ranged from 4.537 to 6.732, the root mean square error (RMSE) ranged from 5.980 to 9.416, and the coefficient of determination (R2) values varied between 0.898 and 0.959. In contrast, the data fusion models demonstrated superior performance, with the MAE reduced to 2.232-2.783, the RMSE reduced to 2.693-3.969, and R2 increased to 0.982-0.991, confirming that feature fusion enhanced characterization accuracy. Finally, the Sparrow Search Algorithm (SSA) was applied to optimize the data fusion models. After optimization, the models exhibited a MAE ranging from 1.703 to 2.078, a RMSE from 2.258 to 3.230, and R2 values between 0.988 and 0.994 on the test set. The application of the SSA further enhanced model accuracy, with the Fusion-SSA-LSTM model demonstrating the best performance. The research results enable online real-time monitoring of the fermentation degree of Tieguanyin oolong tea, which contributes to the automated production of Tieguanyin oolong tea.

Characterization of ultrasound and postnatal pathology in fetuses with heterotaxy syndrome

Background

To explore the diagnostic clues and abnormality spectrum of heterotaxy syndrome by prenatal ultrasonography and postnatal verification.

Methods

The prenatal ultrasonic data of 88 heterotaxy syndrome fetuses were analyzed retrospectively as left isomerism (LI) and right isomerism (RI). Prenatal ultrasound compared with the anatomical casting of the fetal body after labor induction, and the confirmatory postnatal diagnosis after delivery.

Results

Fetal LI showed typical malformations of gastric vesicles on different sides from the heart, absence of hepatic segment of the inferior vena cava (IVC), abdominal aorta (AO) parallel with the azygos vein (AV), bilateral left bronchus, bilateral left atrial appendages, and polysplenia; intracardiac malformations of AV septal defects (AVSD), single atrium (SA), left ventricular outflow tract obstruction (LVOTO), and double-outlet right ventricle (DORV); and cardiac conduction abnormalities of sinus bradycardia and AV blockage. Fetal RI reported typical malformations of gastric vesicles on different sides from the heart, juxtaposition of the IVC with AO, anomalous pulmonary venous connection (APVC), asplenia, and bilateral right atrial appendages; intracardiac malformations of AVSD, SA, single ventricle, pulmonary atresia and stenosis, and DORV. The postnatal verification revealed 3 malformations misdiagnoses and 4 malformations missed diagnoses in LI fetuses and 10 misdiagnoses and 8 missed diagnoses in RI fetuses.

Conclusions

The proposed five-step prenatal ultrasonography has an important diagnostic value for the identification and classification of heterotaxy syndrome. The different sides of gastric vesicles and cardiac apex are important diagnostic clues for heterotaxy syndrome, featuring disconnected or hypoplastic IVC, typical complex cardiac malformation, and atrioventricular block in fetal LI, and shown APVC, juxtaposition of IVC and AO, and intracardiac malformations such as AVSD, DORV, and LVOTO in fetal RI.

QM/MM Unlocks The Catalytic Mechanism of YtfE: The Structural Reorganization of The Active Site Enables Nitrite-to-NO Conversion

Escherichia coli (E. coli) repair of iron center protein (also known as YtfE) is a nonheme diiron protein that plays a pivotal role in bacterial responses to nitrosative stress, particularly in nitrite reduction and nitric oxide metabolism. Although previous studies have explored its potential as a nitrite reductase, the detailed catalytic mechanism, especially the role of its diiron center in nitrite reduction, remains poorly understood. In this study, we employed multiscale computational approaches, including quantum mechanics/molecular mechanics (QM/MM), quantum mechanics/molecular mechanics metadynamics (QM/MM MD), and quantum mechanics (QM) calculations, to elucidate the molecular mechanism of nitrite reduction by YtfE. Our findings reveal that structural reorganization of the active site, particularly the alternation of the hydrogen bonding network and coordination switch of the HONO intermediate, is critical for modulating the nitrite reduction mechanism. This work provides significant insights into the catalytic mechanism of YtfE, offering a theoretical foundation for understanding its role in bacterial stress responses and potential applications in synthetic biology and environmental remediation.

Comparison Between the Effect of Mid-Late-Life High-Intensity Interval Training and Continuous Moderate-Intensity Training in Old Mouse Hearts

The impact of mid-late-life exercise on the aging heart remains unclear, particularly the effects of high-intensity interval training (HIIT) and continuous moderate-intensity training (CMIT). This study was the first to examine cardiac function, tissue characteristics, electrical remodeling, mitochondrial morphology, and homeostasis in old mice subjected to CMIT or HIIT, compared to untrained controls. Our results showed that 8-week HIIT significantly improved the survival rate of old mice. HIIT presented advantages on cardiac function, deposition of collagen fibers, neovascularization, aging biomarkers, and mitochondrial homeostasis. Only CMIT alleviated age-related cardiac hypertrophy. However, CMIT potentially exacerbated adverse cardiac electrical remodeling. Those findings suggested HIIT as a particularly appealing option for clinical application for aging populations.

The role of HIF-1α-mediated autophagy in ionizing radiation-induced testicular injury

Testis, as a key organ for maintaining male fertility, are extremely sensitive to ionizing radiation (IR). IR-induced testicular dysfunction and infertility are common adverse effects of radiation therapy in patients with pelvic cancer. To study the phenotype and mechanism of IR-induced testicular injury, the mice were irradiated with different radiation doses (0, 2 and 5 Gy) below the semi-lethal dose for one month. Our present results showed that testicular weight and the serum testosterone levels significantly decreased with the structural injury of the testis in an IR dose-dependent manner, indicating that IR caused not only the structural damage of the testis, but also the functional damage. Further analysis by TUNEL staining and Western blotting found that IR induced the apoptosis in a dose-dependent manner as indicated by increased expressions of cleaved caspase3, p53 and Bax on Day 15 after IR treatment. Combined with significantly increased oxidative stress, these results indicated that IR-induced testicular damage may be a long-term, progressively aggravated process, accompanied by apoptosis. Given the role of autophagy in apoptosis, the present study also detected and analyzed the localization and expressions of autophagy-related proteins LC-3I/II, beclin1, p62 and Atg12 in testicular cells, and found that LC-3II, beclin1 and Atg12 expressions significantly increased in the testicular cells of mice irradiated with 2 Gy and 5 Gy, while p62 expression significantly decreased with 5 Gy, implying autophagy was involved in the apoptosis of testicular cells induced by IR. Furthermore, the expressions of HIF-1α and BNIP3 were significantly enhanced in the testis cells of mice irradiated with 2 Gy and 5 Gy, suggesting the potential role of HIF-1α/BNIP3-mediated autophagy in the apoptosis of testicular cells induced by IR. Taken together, our findings demonstrated that HIF-1α/BNIP3-mediated autophagy not only plays a protective effect on the testicular cells of mice irradiated with 2 Gy, but also induces the apoptosis of the testicular cells of mice irradiated with 5 Gy, indicating the double effects on apoptosis, which will help us further understanding the molecular mechanisms of IR-induced testicular injury, and will facilitate us further studies on testicular radioprotection.

Olanzapine Induces Adipogenesis and Glucose Uptake by Activating Glycolysis and Synergizing with the PI3K-AKT Pathway

BACKGROUND

Administration of olanzapine (OLA) is closely associated with obesity and glycolipid abnormalities in patients with schizophrenia (SCZ), although the exact molecular mechanisms remain elusive.

OBJECTIVE

We conducted comprehensive animal and molecular experiments to elucidate the mechanisms underlying OLA-induced weight gain.

METHODS

We investigated the mechanisms of OLA-induced adipogenesis and lipid storage by employing a real-time ATP production rate assay, glucose uptake test, and reactive oxygen species (ROS) detection in 3T3-L1 cells and AMSCs. Rodent models were treated with OLA using various intervention durations, dietary patterns (normal diets/western diets), and drug doses. We assessed body weight, epididymal and liver fat levels, and metabolic markers in both male and female mice.

RESULTS

OLA accelerates adipogenesis by directly activating glycolysis and its downstream PI3K signaling pathway in differentiated adipocytes. OLA promotes glucose uptake in differentiated 3T3-L1 preadipocytes. In mouse models with normal glycolipid metabolism, OLA administration failed to increase food intake and weight gain despite elevated GAPDH expression, a marker related to glycolysis and PI3K-AKT. This supports the notion that glycolysis plays a significant role in OLA-induced metabolic dysfunction.

CONCLUSION

OLA induces glycolysis and activates the downstream PI3K-AKT signaling pathway, thereby promoting adipogenesis.

Comprehensive analysis of the expression and prognostic value of ARMCs in pancreatic adenocarcinoma

BACKGROUND

Pancreatic adenocarcinoma (PAAD) has a very poor prognosis, and there are few treatments for PAAD. Therefore, it is important to find some biomarkers for the diagnosis and treatment of PAAD. Although some members of Armadillo repeat containing proteins (ARMCs) have been implicated in the development of certain cancers, their relationship with PAAD remains unknown. In this study, we aimed to explore the expression and prognostic value of ARMCs in PAAD.

METHODS

We used the The Cancer Genome Atlas (TCGA) database for survival analysis. Then, Gene Expression Profiling Interactive Analysis (GEPIA), the cBioPortal database, the Human Protein Atlas (HPA), Kaplan-Meier Plotter, LinkedOmics Database, Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG), Cytoscape and Timer were used to analyze the relationship between ARMCs and PAAD. In addition, we established a prognostic model of ARMCs for PAAD. Immunohistochemistry (IHC) was also performed. Then Image-J was used to analyze all images obtained from the experiment, and GraphPad-Prism (9.5.1) was used for statistical analysis to verify the expression of ARMCs in PAAD.

RESULTS

In the TCGA database, the expressions of ARMC1, 2, 3, 5, 6, 7, 8, 9 and 10 in PAAD tissues were significantly higher than those in normal tissues. And higher expressions of ARMC1 and 10 were associated with lower survival rate of PAAD patients. In addition, ARMC2, 5, 6, and 10 were positively associated with advanced stages of PAAD. ARMCs mutations occur in 11% of PAAD patients, and missense mutations and amplification of ARMCs account for most of them. In addition, ARMC5 and ARMC10 were independent prognostic factors in univariate and multivariate Cox regression analyses. Finally, through our confirmation experiment, it was found that the expression of ARMC1 and 10 in PAAD tissues was significantly increased compared with those in paracancer tissue.

CONCLUSION

This study suggests that ARMCs may be able to play important roles in PAAD, and they can act as biomarkers, providing valuable clues for the treatment and diagnosis of PAAD.

Learning a Memory-Enhanced Multi-Stage Goal-Driven Network for Egocentric Trajectory Prediction

We propose a memory-enhanced multi-stage goal-driven network (ME-MGNet) for egocentric trajectory prediction in dynamic scenes. Our key idea is to build a scene layout memory inspired by human perception in order to transfer knowledge from prior experiences to the current scenario in a top-down manner. Specifically, given a test scene, we first perform scene-level matching based on our scene layout memory to retrieve trajectories from visually similar scenes in the training data. This is followed by trajectory-level matching and memory filtering to obtain a set of goal features. In addition, a multi-stage goal generator takes these goal features and uses a backward decoder to produce several stage goals. Finally, we integrate the above steps into a conditional autoencoder and a forward decoder to produce trajectory prediction results. Experiments on three public datasets, JAAD, PIE, and KITTI, and a new egocentric trajectory prediction dataset, Fuzhou DashCam (FZDC), validate the efficacy of the proposed method.

Angiopoietin-Like Protein Family-Mediated Functions in Modulating Triglyceride Metabolism and Related Metabolic Diseases

Hypertriglyceridemia, characterized by increased triglyceride (TG) concentrations, is considered the most important risk factor for cardiometabolic disorders, including dyslipidemia, atherosclerotic cardiovascular diseases, and non-alcoholic fatty liver disease (NAFLD). Recently, the angiopoietin-like protein (ANGPTL) family, which comprises ANGPTL1 to ANGPTL8, was confirmed to play an important role in modulating lipoprotein lipase (LPL) activity. However, understanding of the underlying mechanisms remains limited. Importantly, emerging evidence has linked several transcriptional and post-transcriptional factors to the potential alteration of TG metabolism via ANGPTL proteins. This review focused on the similarities and differences in the expression, structural features, and modulatory profile of three ANGPTLs: ANGPTL3, ANGPTL4, and ANGPTL8. In addition, the regulatory functions of those three ANGPTLs in modulating LPL were summarized to provide potential therapeutic and clinical strategies for hypertriglyceridemia and its related cardiometabolic disorders.

Health inequality and improvement gap in the prevalence of gynecological cancers among perimenopausal women globally, 1990-2019

BACKGROUND

Perimenopausal women are a high-risk group for gynecological cancers; however, the spatiotemporal heterogeneity in prevalence and its association with socioeconomic development have not been fully explored. This study aimed to analyze the global burden of cervical, ovarian, and uterine cancers among perimenopausal women, examine health inequalities, and investigate their relationship with socioeconomic levels.

METHODS

We assessed the disease burden of gynecological cancers in perimenopausal women using the 2019 Global Burden of Disease study (GBD2019) data, utilizing prevalence and Years of Life Lost (YLL) rates. Health inequality and frontier analyses were performed based on age-standardized prevalence rates for cervical, ovarian, and uterine cancers, coupled with associated socio-demographic index (SDI) data.

RESULTS

Over the past thirty years, global prevalence rates of cervical, ovarian, and uterine cancers among perimenopausal women have risen, while the number of YLLs has declined. Correlation analysis with the SDI showed that ovarian and uterine cancer prevalence rates positively correlated with SDI, whereas cervical cancer prevalence was inversely related to it. Moreover, the burden of these cancers demonstrated marked inequalities in relation to SDI, with cervical cancer disparities intensifying-the absolute value of the inequality slope index rose from 100.98 in 1990 to 170.17 in 2019. Ovarian cancer experienced a slight decrease in inequalities, while uterine cancer saw a significant increase, with its inequality slope index jumping from 176.51 in 1990 to 226.01 in 2019. Additionally, there existed regional health disparities in the disease burden of ovarian cancer among perimenopausal women; notably, in regions where YLLs rates for ovarian cancer were increasing, economically developed areas actually exhibited a decline.

CONCLUSION

Globally, the prevalence of gynecological cancers in perimenopausal women showed an increasing trend. The health inequality gap for cervical and uterine cancer has widened, while disparities in ovarian cancer are particularly pronounced across regions. There remains scope for improvement in managing the prevalence of gynecological cancers among perimenopausal women across countries with varying SDI levels.