Photocatalytic oxidation of formaldehyde under visible light using BiVO4-TiO2 synthesized via ultrasonic blending.

Formaldehyde (HCHO) is one of the primary indoor air pollutants, and efficiently eliminating it, especially at low concentrations, remains challenging. In this study, BiVO4-TiO2 catalyst was developed using ultrasonic blending technology for the photocatalytic oxidation of low-level indoor HCHO. The crystal structure, surface morphology, element distribution, and active oxidation species of the catalyst were examined using XRD, SEM, TEM, UV-Vis, EDS, and ESR techniques. Our results demonstrated that the BiVO4-TiO2 catalyst, prepared by ultrasonic blending, exhibited good oxidation performance and stability. The HCHO concentration reduced from 1.050 to 0.030 mg/m3 within 48 h, achieving a removal rate of 97.1%. The synergy between BiVO4 and TiO2 enhanced the efficiency of separating photogenerated carriers and minimized the likelihood of recombination between photogenerated electrons and holes. Additionally, this synergy significantly enhanced the presence of hydroxyl radicals (·OH) on the catalyst, resulting in an oxidation performance superior to that of either BiVO4 or TiO2. Our research offers valuable insights for the development of new photocatalysts to address HCHO pollution.

The diagnostic efficiency of artificial intelligence based 2 hours Holter monitoring in premature ventricular and supraventricular contractions detection.

BACKGROUND: Electrocardiography (ECG) and 24 hours Holter monitoring (24 h-Holter) provided valuable information for premature ventricular and supraventricular contractions (PVC and PSVC). Currently, artificial intelligence (AI) based 2 hours single-lead Holter (2 h-Holter) monitoring may provide an improved strategy for PSVC/PVC diagnosis. HYPOTHESIS: AI combined with single-lead Holter monitoring improves PSVC/PVC detection. METHODS: In total, 170 patients were enrolled between August 2022 and 2023. All patients wore both devices simultaneously; then, we compared diagnostic efficiency, including the sensitivity/specificity/positive predictive-value (PPV) and negative predictive-value (NPV) in detecting PSVC/PVC by 24 h-Holter and 2 h-Holter. RESULTS: The PPV and NPV in patients underwent 2 h-Holter were 76.00%/87.50% and 96.35%/98.55, respectively, and the sensitivity and specificity were 79.17%/91.30%, and 95.65%/97.84% in PSVC/PVC detection compared with 24 h-Holter. The areas under the ROC curves (AUCs) for PSVC and PVC were 0.885 and 0.741, respectively (p < .0001). CONCLUSIONS: The potential advantages of the 2 h-Holter were shortened wearing period, improved convenience, and excellent consistency of diagnosis.

Assessment and clinical utility of metagenomic next-generation sequencing for suspected lower respiratory tract infections.

OBJECTIVES: This study aims to compare the diagnostic efficacy of metagenomic next-generation sequencing (mNGS) to traditional diagnostic methods in patients with lower respiratory tract infections (LRTIs), elucidate the etiological spectrum of these infections, and explore the impact of mNGS on guiding antimicrobial therapy. METHODS: We retrospectively analyzed data from 128 patients admitted to the Respiratory Department of Anqing 116 Hospital between July 2022 and July 2023. All patients had undergone both mNGS and conventional microbiological techniques (CMT) for LRTI diagnosis. We assessed the diagnostic performance of these methods and examined the influence of mNGS on antimicrobial decision-making. RESULTS: Overall, mNGS demonstrated superior sensitivity (96.8%) and accuracy (96.8%) compared to CMT. For Mycobacterium tuberculosis detection, the accuracy and sensitivity of mNGS was 88.8% and 77.6%, which was lower than the 94.7% sensitivity of the T-spot test and the 79.6% sensitivity of CMT. In fungal pathogen detection, mNGS showed excellent sensitivity (90.5%), specificity (86.7%), and accuracy (88.0%). Bacteria were the predominant pathogens detected (75.34%), with Mycobacterium tuberculosis (41.74%), Streptococcus pneumoniae (21.74%), and Haemophilus influenzae (16.52%) being most prevalent. Bacterial infections were most common (62.10%), followed by fungal and mixed infections (17.74%). Of the 118 patients whose treatment regimens were adjusted based on mNGS results, 102 (86.5%) improved, 7 (5.9%) did not respond favorably, and follow-up was lost for 9 patients (7.6%). CONCLUSIONS: mNGS offers rapid and precise pathogen detection for patients with suspected LRTIs and shows considerable promise in diagnosing Mycobacterium tuberculosis and fungal infections. By broadening the pathogen spectrum and identifying polymicrobial infections, mNGS can significantly inform and refine antibiotic therapy.

Structure-aware contrastive hashing for unsupervised cross-modal retrieval.

Cross-modal hashing has attracted a lot of attention and achieved remarkable success in large-scale cross-media similarity retrieval applications because of its superior computational efficiency and low storage overhead. However, constructing similarity relationship among samples in cross-modal unsupervised hashing is challenging because of the lack of manual annotation. Most existing unsupervised methods directly use the representations extracted from the backbone of their respective modality to construct instance similarity matrices, leading to inaccurate similarity matrices and resulting in suboptimal hash codes. To address this issue, a novel unsupervised hashing model, named Structure-aware Contrastive Hashing for Unsupervised Cross-modal Retrieval (SACH), is proposed in this paper. Specifically, we concurrently employ both high-dimensional representations and discriminative representations learned by the network to construct a more informative semantic correlative matrix across modalities. Moreover, we design a multimodal structure-aware alignment network to minimize heterogeneous gap in the high-order semantic space of each modality, effectively reducing disparities within heterogeneous data sources and enhancing the consistency of semantic information across modalities. Extensive experimental results on two widely utilized datasets demonstrate the superiority of our proposed SACH method in cross-modal retrieval tasks over existing state-of-the-art methods.

Palladium-catalyzed denitrogenation/vinylation of benzotriazinones with vinylene carbonate.

Herein, a novel Pd-catalyzed denitrogenation/vinylation of benzotriazinones using vinylene carbonate as the vinylation reagent is reported. This transformation demonstrates an unprecedented skeletal editing approach, effectively converting NN to CC fragments in situ and synthesizing a collection of isoquinolinones with broad-spectrum functional group tolerance. Moreover, the quite concise reaction system and late-stage modification of bioactive molecules comprehensively underscore the practical potential of this protocol.

Preparation of copolymer 7-hydroxyethyl chrysin loaded PLGA nanoparticles and the in vitro release. / 7-ç¾Ÿä¹™åŸºç™½æ¨ç´ èšä¹³é ¸-ç¾ŸåŸºä¹™é ¸å ±èšç‰©çº³ç±³ç²’çš„åˆ¶å¤‡åŠä½“å¤–é‡Šæ”¾è¯„ä»·.

OBJECTIVES: To prepare 7-hydroxyethyl chrysin (7-HEC) loaded poly (lactic-co-glycolic acid) (PLGA) nanoparticles and to detect the in vitro release. METHODS: The 7-HEC/PLGA nanoparticles were prepared by emulsification solvent volatilization method. The particle size, polydispersity index (PDI), encapsulation rate, drug loading and zeta potential were measured. The prescription was optimized by single factor investigation combined with Box-Behnken response surface method. Mannitol was used as protectant to prepare lyophilized powder, and the optimal formulation was characterized and studied for the in vitro release. RESULTS: The optimal formulation of 7-HEC/PLGA nanoparticles was as follows: drug loading ratio of 2.12∶20, oil-water volume ratio of 1∶14.7, and 2.72% soybean phospholipid as emulsifier. With the optimal formulation, the average particle size of 7-HEC/PLGA nanoparticles was (240.28±0.96) nm, the PDI was 0.25±0.69, the encapsulation rate was (75.74±0.80)%, the drug loading capacity was (6.98±0.83)%, and the potentiostatic potential was (－18.17±0.17) mV. The cumulative in vitro release reached more than 50% within 48 h. CONCLUSIONS: The optimized formulation is stable and easy to operate. The prepared 7-HEC/PLGA nanoparticles have uniform particle size, high encapsulation rate and significantly higher dissolution rate than 7-HEC.

Unraveling the mechanism of norfloxacin removal and fate of antibiotics resistance genes (ARGs) in the sulfur-mediated autotrophic denitrification via metagenomic and metatranscriptomic analyses.

The co-contamination of antibiotics and nitrogen has attracted widespread concerns due to its potential harm to ecological safety and human health. Sulfur-driven autotrophic denitrification (SAD) with low sludge production rate was adopted to treat antibiotics laden-organic deficient wastewater. Herein, a lab-scale sequencing batch reactor (SBR) was established to explore the simultaneous removal of nitrate and antibiotics, i.e. Norfloxacin (NOR), as well as microbial response mechanism of SAD sludge system towards NOR exposure. About 80.78 % of NOR was removed by SAD sludge when the influent NOR level was 0.5 mg/L, in which biodegradation was dominant removal route. The nitrate removal efficiency decreased slightly from 98.37 ± 0.58 % to 96.58 ± 1.03 % in the presence of NOR. Thiobacillus and Sulfurimonas were the most abundant sulfur-oxidizing bacteria (SOB) in SAD system, but Thiobacillus was more sensitive to NOR. The up-regulated genes related to Xenobiotics biodegradation and metabolism and CYP450 indicated the occurrence of NOR biotransformation in SAD system. The resistance of SAD sludge to the exposure of NOR was mainly ascribed to antibiotic efflux. And the effect of antibiotic inactivation was enhanced after long-term fed with NOR. The NOR exposure resulted in the increased level of antibiotics resistance genes (ARGs) and mobile genetic elements (MGEs). Besides, the enhanced ARG-MGE co-existence patterns further reveals the higher horizontal mobility potential of ARGs under NOR exposure pressures. The most enriched sulfur oxidizing bacterium Thiobacillus was a potential host for most of ARGs. This study provides a new insight for the treatment of NOR-laden wastewater with low C/N ratio based on the sulfur-mediated biological process.

Prenatal transposition of great arteries diagnosis and management: a Chinese single-center study.

Objective: This study aimed to assess the diagnostic value of prenatal echocardiography for identifying transposition of the great arteries (TGA) during pregnancy and evaluating the associated outcomes. Methods: We conducted a retrospective analysis of 121 prenatally diagnosed patients with TGA at our hospital between January 2012 and September 2022. This analysis included prenatal ultrasound, prenatal screening, clinical management and follow-up procedures. Results: Among the 103 fetuses considered in the study, 90 (87.4%) were diagnosed with complete transposition of the great arteries (D-TGA), while 13 (12.6%) exhibited corrected transposition of the great arteries (CC-TGA). Diagnoses were distributed across the trimester, with 8 D-TGA and 2 CC-TGA patients identified in the first trimester, 68 D-TGA patients and 9 CC-TGA patients in the second trimester, and 14 D-TGA and 2 CC-TGA patients referred for diagnosis in the third trimester. Induction of labour was pursued for 76 D-TGA patients (84.4%) and 11 CC-TGA patients (84.6%), and 14 D-TGA patients (15.6%) and 2 CC-TGA patients (15.4%) continued pregnancy until delivery. Among the D-TGA patients, 9 fetuses (10.0%) underwent surgery, two of which were inadvertent fatality, while the remaining seven experienced positive outcomes. Additionally, seven TGA patients received palliative care, leading to four fatalities among D-TGA patients (5.2%), whereas 1 D-TGA patients and 2 CC-TGA patients survived. Conclusion: This study underscores the feasibility of achieving an accurate prenatal diagnosis of TGA during early pregnancy. The utility of prenatal ultrasound in the development of personalized perinatal plans and the application of multidisciplinary treatment during delivery are conducive.

Association between carotenoids and the prevalence of chronic obstructive pulmonary disease in the United States.

BACKGROUND: Previous studies mainly concentrated on examining the correlation between single carotenoids and Chronic obstructive pulmonary disease (COPD). However, these findings have been inconsistent. OBJECTIVES: This study aimed to evaluate both the individual and overall associations of carotenoids with the prevalence of COPD. METHODS: This study comprised 2,939 participants chosen from the National Health and Nutrition Examination Survey (NHANES) 2017-2018. The logistic regression, quantile-based G-computation regression (qgcomp), and Bayesian kernel machine regression (BKMR) models were employed to explore the association between carotenoids and the prevalence of COPD. Mediation analyses were also conducted to explore the underlying mechanism of carotenoids on COPD. RESULTS: Individuals diagnosed with COPD had significantly lower serum carotenoid concentrations than those without COPD. We found a negative relationship between combined carotenoids and the prevalence of COPD, and lutein and zeaxanthin and alpha cryptoxanthin were identified as the main contributors to this negative association. Moreover, eosinophil acted as a mediator in the relationship between lutein and zeaxanthin, alpha cryptoxanthin, and the prevalence of COPD, with mediating proportions of 2.75 % and 3.67 %. CONCLUSION: A negative association was observed between combined carotenoids and COPD prevalence, with lutein and zeaxanthin, and alpha cryptoxanthin identified as the main contributors. Eosinophils could potentially mediate the association between carotenoids and COPD.

New insights of DsbA-L in the pathogenesis of metabolic diseases.

Metabolic diseases, such as obesity, diabetes mellitus, and non-alcoholic fatty liver disease (NAFLD), are abnormal conditions that result from disturbances of metabolism. With the improvement of living conditions, the morbidity and mortality rates of metabolic diseases are steadily rising, posing a significant threat to human health worldwide. Therefore, identifying novel effective targets for metabolic diseases is crucial. Accumulating evidence has indicated that disulfide bond A oxidoreductase-like protein (DsbA-L) delays the development of metabolic diseases. However, the underlying mechanisms of DsbA-L in metabolic diseases remain unclear. In this review, we will discuss the roles of DsbA-L in the pathogenesis of metabolic diseases, including obesity, diabetes mellitus, and NAFLD, and highlight the potential mechanisms. These findings suggest that DsbA-L might provide a novel therapeutic strategy for metabolic diseases.

Cdc42-driven endosomal cholesterol transport promotes collateral resistance in HER2-positive gastric cancer.

Resistance to trastuzumab and the poor efficacy of subsequent chemotherapy have become major challenges for HER2-positive gastric cancer (GC). As resistance evolves, tumor cells may acquire a new drug susceptibility profile, profoundly impacting the subsequent treatment selection and patient survival. However, the interplay between trastuzumab and other types of drugs in HER2-positive GC remains elusive. In our study, we utilized resistant cell lines and tissue specimens to map the drug susceptibility profile of trastuzumab-resistant GC, discovering that resistance to trastuzumab induces collateral resistance to commonly used chemotherapeutic agents. Additionally, patients with collateral resistance distinguished by a 13-gene scoring model in HER2-positive GC cohorts are predicted to have a poor prognosis and may be sensitive to cholesterol-lowering drugs. Mechanistically, endosomal cholesterol transport is further confirmed to enrich cholesterol in the plasma membrane, contributing to collateral resistance through the Hedgehog-ABCB1 axis. As a driver for cholesterol, Cdc42 is activated by the formation of the NPC1-TßRI-Cdc42 complex to facilitate endosomal cholesterol transport. We demonstrated that inhibiting Cdc42 activation with ZCL278 reduces cholesterol levels in the plasma membrane and reverses collateral resistance between trastuzumab and chemotherapy in vitro and in vivo. Collectively, our findings verify the phenomena and mechanism of collateral resistance between trastuzumab and chemotherapy, and propose a potential therapeutic target and strategy in the second-line treatment for trastuzumab-resistant HER2-positive GC.

The Molecular and Functional Characterization of Sensory Neuron Membrane Protein 1b (SNMP1b) from Cyrtotrachelus buqueti (Coleoptera: Curculionidae).

Sensory neuron membrane proteins (SNMPs) play important roles in insect chemoreception and SNMP1s have been reported to be essential in detecting sex pheromones in Drosophila and some lepidopteran species. However, SNMPs for Cyrtotrachelus buqueti (Coleoptera: Curculionidae), a major insect pest of bamboo plantations, remain uncharacterized. In this study, a novel SNMP gene, CbuqSNMP1b, from C. buqueti was functionally characterized. The expression of CbuqSNMP1b was significantly higher in antennae than in other tissues of both sexes and the expression level was significantly male-biased. Additionally, CbuqSNMP1b showed significantly higher transcription levels in the adult stage and very low transcription levels in other stages, suggesting that CbuqSNMP1b is involved in the process of olfaction. Fluorescence binding assays indicated that CbuqSNMP1b displayed the strongest binding affinity to dibutyl phthalate (Ki = 9.03 µM) followed by benzothiazole (Ki = 11.59 µM) and phenol (Ki = 20.95 µM) among fourteen C. buqueti volatiles. Furthermore, molecular docking revealed key residues in CbuqSNMP1b that interact with dibutyl phthalate, benzothiazole, and phenol. In conclusion, these findings will lay a foundation to further understand the olfactory mechanisms of C. buqueti and promote the development of novel methods for controlling this pest.

The Effects of Excipients on Freeze-dried Monoclonal Antibody Formulation Degradation and Sub-Visible Particle Formation during Shaking.

PURPOSES: We previously reported an unexpected phenomenon that shaking stress could cause more protein degradation in freeze-dried monoclonal antibody (mAb) formulations than liquid ones (J Pharm Sci, 2022, 2134). The main purposes of the present study were to investigate the effects of shaking stress on protein degradation and sub-visible particle (SbVP) formation in freeze-dried mAb formulations, and to analyze the factors influencing protein degradation during production and transportation. METHODS: The aggregation behavior of mAb-X formulations during production and transportation was simulated by shaking at a rate of 300 rpm at 25°C for 24 h. The contents of particles and monomers were analyzed by micro-flow imaging, dynamic light scattering, size exclusion chromatography, and ultraviolet - visible (UV-Vis) spectroscopy to compare the protective effects of excipients on the aggregation of mAb-X. RESULTS: Shaking stress could cause protein degradation in freeze-dried mAb-X formulations, while surfactant, appropriate pH, polyol mannitol, and high protein concentration could impact SbVP generation. Water content had little effect on freeze-dried protein degradation during shaking, as far as the water content was controlled in the acceptable range as recommended by mainstream pharmacopoeias (i.e., less than 3%). CONCLUSIONS: Shaking stress can reduce the physical stability of freeze-dried mAb formulations, and the addition of surfactants, polyol mannitol, and a high protein concentration have protective effects against the degradation of model mAb formulations induced by shaking stress. The experimental results provide new insight for the development of freeze-dried mAb formulations.

Facilely and efficiently constructing anti-oil-fouling zwitterionic coatings on membranes for oil-in-water emulsion separation.

A facile and efficient strategy for constructing anti-oil-fouling zwitterionic coatings on membranes is developed. The resultant membrane exhibits excellent anti-oil-fouling ability even in a dry state, and has a high efficiency for emulsion separation with a high flux of 5800 L m-2 h-1 bar-1 and an oil rejection of up to 99.6%.

Anchor Graph Network for Incomplete Multiview Clustering.

Incomplete multiview clustering (IMVC) has received extensive attention in recent years. However, existing works still have several shortcomings: 1) some works ignore the correlation of sample pairs in the global structural distribution; 2) many methods are computational expensive, thus cannot be applicable to the large-scale incomplete data clustering tasks; and 3) some methods ignore the refinement of the bipartite graph structure. To address the above issues, we propose a novel anchor graph network for IMVC, which includes a generative model and a similarity metric network. Concretely, the method uses a generative model to construct bipartite graphs, which can mine latent global structure distributions of sample pairs. Later, we use graph convolution network (GCN) with the constructed bipartite graphs to learn the structural embeddings. Notably, the introduction of bipartite graphs can greatly reduce the computational complexity and thus enable our model to handle large-scale data. Unlike previous works based on bipartite graph, our method employs bipartite graphs to guide the learning process in GCNs. In addition, an innovative adaptive learning strategy that can construct robust bipartite graphs is incorporated into our method. Extensive experiments demonstrate that our method achieves the comparable or superior performance compared with the state-of-the-art methods.

Preparation of pectin-coated and chitosan-coated phenylethanoside liposomes: Studies on characterization, stability, digestion and release behavior.

In this paper, the effects of extrusion, ultrasound on physicochemical properties of liposomes were studied, and the liposomes were prepared by ethanol injection combined with extrusion-ultrasound. In addition, the quality of PhGs lips, pectin-coated PhGs lips (P-lips) and chitosan-coated PhGs lips (C-lips) was evaluated by the average particle size, encapsulation efficiency (EE) and other indicators, which indicated that the nanoparticles had been successfully prepared. Compared with extrusion or ultrasonic operation alone, the EEs of ethanol injection combined with extrusion-ultrasonic increased by 8 % and 18 % respectively. Subsequently, transmission electron microscopy, Fourier transform infrared spectroscopy and DSC thermal analysis showed that PhGs in PhGs lips may produce hydrogen bonding forces with phospholipids, and pectin and chitosan in P-lips and C-lips were not only coated on the surface of PhGs lips, but also might have some interaction between them. Cell experiments showed that PhGs lips, P-lips and C-lips can effectively improve the bioavailability of PhGs. In addition, the storage stability of P-lips and C-lips was not significantly improved compared to PhGs lips, but their digestive stability was significantly improved, and the final retention rate in simulated intestinal fluid was about 25 % higher than that of PhGs lips.

Revitalizing Ancient Mitochondria with Nano-Strategies: Mitochondria-Remedying Nanodrugs Concentrate on Disease Control.

Mitochondria, widely known as the energy factories of eukaryotic cells, have a myriad of vital functions across diverse cellular processes. Dysfunctions within mitochondria serve as catalysts for various diseases, prompting widespread cellular demise. Mounting research on remedying damaged mitochondria indicates that mitochondria constitute a valuable target for therapeutic intervention against diseases. But the less clinical practice and lower recovery rate imply the limitation of traditional drugs, which need a further breakthrough. Nanotechnology has approached favorable regiospecific biodistribution and high efficacy by capitalizing on excellent nanomaterials and targeting drug delivery. Mitochondria-remedying nanodrugs have achieved ideal therapeutic effects. This review elucidates the significance of mitochondria in various cells and organs, while also compiling mortality data for related diseases. Correspondingly, nanodrug-mediate therapeutic strategies and applicable mitochondria-remedying nanodrugs in disease are detailed, with a full understanding of the roles of mitochondria dysfunction and the advantages of nanodrugs. In addition, the future challenges and directions are widely discussed. In conclusion, this review provides comprehensive insights into the design and development of mitochondria-remedying nanodrugs, aiming to help scientists who desire to extend their research fields and engage in this interdisciplinary subject.

Genetic Polymorphisms of rs9949644 in MAPK4 Are Associated with Clinical Response to Methotrexate in Patients with Psoriasis.

BACKGROUND: The study aimed to investigate the relationship of MAPK4 genetic variants with the efficacy of methotrexate (MTX) in psoriasis patients. METHODS: Patients treated with MTX were classified as responders or nonresponders if the Psoriasis Area and Severity Index (PASI) at week 12 was reduced to greater than 75% or lower than 75%, respectively. The genotypes of 14 MAPK4 single-nucleotide polymorphisms in 310 patients were analyzed. The expression levels of MAPK4 protein were detected by Western blot. RESULTS: Only rs9949644 polymorphisms were associated with the efficacy after adjusting for the confounding factors. Patients with the rs9949644 AG or GG genotype had a better clinical response compared to patients with the AA genotype. Rs9949644 polymorphisms were significantly associated with the PASI improvement rate. Besides, the protein level of MAPK4, positively associated with the psoriasis severity, was higher in patients. There were no significant differences of MAPK4 protein levels among the three groups. While after treatment, MAPK4 levels in the AG or GG group showed a significantly down-regulated trend. CONCLUSION: By demonstrating the significant association of MAPK4 with the efficacy of MTX, this study indicates that MAPK4 may be involved in the psoriasis progression and act as a predictor of therapeutic response.

Association of prenatal thoracic ultrasound abnormalities with copy number variants at a single Chinese tertiary center.

OBJECTIVE: To systematically evaluate the association of prenatal thoracic ultrasound abnormalities with copy number variants (CNVs). METHODS: Chromosomal microarray (CMA) data and clinical characteristics from fetuses with thoracic ultrasound abnormalities were retrieved and analyzed. RESULTS: Thoracic ultrasound findings were mainly isolated except for fetal pleural effusion (FPE) and pulmonary hypoplasia. The diagnostic yield of CMA for thoracic anomaly was 9.66%, and FPE (17/68, 25%), pulmonary hypoplasia (1/8, 12.5%), and congenital diaphragmatic hernia (CDH) (6/79, 7.59%) indicated relatively high pathogenic/likely pathogenic (P/LP) CNV findings. The detection rate for P/LP CNVs was obviously increased in non-isolated thoracic anomalies (27.91% vs. 1.96%, P < 0.0001), non-isolated FPE (37.78% vs. 0%, P = 0.0007) and non-isolated congenital pulmonary airway malformation (CPAM) (27.27% vs. 0%, P < 0.0001), and significantly different among thoracic anomalies. Additionally, the rate of termination of pregnancy in cases with non-isolated thoracic anomalies (58.49% vs. 12.34%, P < 0.0001) and P/LP CNVs (85.71% vs. 24.15%, P < 0.0001) was obviously increased. CONCLUSION: The present study expanded phenotype spectrums for particular recurrent CNVs. FPE, CDH, and pulmonary hypoplasia indicated relatively high P/LP CNV findings among common thoracic ultrasound abnormalities, CPAM associated with other ultrasound abnormalities increased the incidence of diagnostic CNVs, while bronchopulmonary sequestration might not be associated with positive CNVs. The present data recommended CMA application for cases with prenatal thoracic ultrasound abnormalities, especially non-isolated FPE, non-isolated CPAM, CDH, and pulmonary hypoplasia.

Association between manganese exposure in heavy metals mixtures and the prevalence of sarcopenia in US adults from NHANES 2011-2018.

Environmental pollution is identified as an essential risk factor for sarcopenia. However, the effect of manganese (Mn) exposure on the prevalence of sarcopenia is not assessed. Our study investigated the correlation between blood Mn concentration and sarcopenia risk in the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018. Three statistical methods were used to assess these correlations. Mediation analysis was performed to explore the role of inflammation in Mn exposure-induced sarcopenia. Of the 4957 individuals enrolled in this study, 398 (8 %) were diagnosed with sarcopenia. We found a positive association between the log10 Mn concentration and the prevalence of sarcopenia in the logistic regression model. Moreover, heavy metals mixtures were positively correlated with the prevalence of sarcopenia, with Mn identified as the main contributor to this association in the weighted quantile sum (WQS) and Bayesian kernel machine regression (BKMR) models. Furthermore, inflammation mediated the relationship between Mn exposure and the prevalence of sarcopenia, explaining 7.29 % of the effect (odds ratio: 0.03, 0.19, P = 0.002). Thus, our study results revealed that excessive Mn exposure is a contributing factor for sarcopenia. More prospective studies are required to examine the association between Mn exposure and the prevalence of sarcopenia.