Phase Selection Rules of Multi-Principal Element Alloys

Computational prediction of phase stability of multi-principal element alloys (MPEAs) holds a lot of promise for rapid exploration of the enormous design space and autonomous discovery of superior structural and functional properties. Regardless of many plausible works that rely on phenomenological theory and machine learning, precise prediction is still limited by insufficient data and the lack of interpretability of some machine learning algorithms, e.g., convolutional neural network. In this work, a comprehensive approach is presented, encompassing the development of a complete dataset that contains 72 387 density functional theory calculations, as well as a predictive global phenomenological descriptor. The phase selection descriptor, based on atomic electronegativity and valence electron concentration, significantly outperforms the widely used valence electron concentration, excelling in both accuracy (with an f1 score of 63% compared to 47%) and its ability to predict the HCP phase (0.48 recall compared to 0). The comprehensive data mining on the global design space of 61 425 quaternary MPEAs made from 28 possible metals, together with the phenomenological theory and physical interpretation, will set up a solid computational science foundation for data-driven exploration of MPEAs.

Unlocking Li superionic conductivity in face-centred cubic oxides via face-sharing configurations

Oxides with a face-centred cubic (fcc) anion sublattice are generally not considered as solid-state electrolytes as the structural framework is thought to be unfavourable for lithium (Li) superionic conduction. Here we demonstrate Li superionic conductivity in fcc-type oxides in which face-sharing Li configurations have been created through cation over-stoichiometry in rocksalt-type lattices via excess Li. We find that the face-sharing Li configurations create a novel spinel with unconventional stoichiometry and raise the energy of Li, thereby promoting fast Li-ion conduction. The over-stoichiometric Li-In-Sn-O compound exhibits a total Li superionic conductivity of 3.38 × 10-4 S cm-1 at room temperature with a low migration barrier of 255 meV. Our work unlocks the potential of designing Li superionic conductors in a prototypical structural framework with vast chemical flexibility, providing fertile ground for discovering new solid-state electrolytes.

[Corrigendum] miR‑146b‑5p inhibits tumorigenesis and metastasis of gallbladder cancer by targeting Toll‑like receptor 4 via the nuclear factor‑κB pathway

Following the publication of the article, the authors drew to the Editor's attention that, in Fig. 4D on p. 7, the data correctly shown to represent the E‑cadherin bands for the "NOZ" experiment had inadvertently been used to show the Vimentin bands. However, the authors retained their original data, and the corrected version of Fig. 4, now showing the correct data for the Vimentin bands in Fig. 4D for the "NOZ" experiment, is shown on the next page. Note that this error did not grossly affect either the results or the conclusions reported in this work. All the authors agree with the publication of this Corrigendum, and are grateful to the Editor of Oncology Reports for granting them the opportunity to correct the error that was made during the assembly of this figure. Lastly, the authors apologize to the readership for any inconvenience this error may have caused. [Oncology Reports  45: 15, 2021; DOI: 10.3892/or.2021.7966].

ALKBH5 promotes the development of lung adenocarcinoma by regulating the polarization of M2 macrophages through CDCA4

OBJECTIVE

Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer, with high morbidity and mortality. N6-methyladenosine (m6A) is an important regulator of LUAD progression. Here, we investigated the potential biological functions of ALKBH5 (a m6A demethylated enzyme) and cell division cycle associated protein 4 (CDCA4) in the progression of LUAD.

METHODS

The expressions of CDCA4, METTL3, ALKBH5, FTO, YTHDC2 and YTHDC1 mRNA and proteins in LUAD and adjacent tissues, as well as NCI-H1299 and NCI-H157 cells were detected by RT-qPCR and western blot. Meanwhile, the role of ALKBH5 and CDCA4 in macrophage polarization was explored through tumor formation in Lewis lung carcinoma (LLC) mice and the co-culture system of NCI-H1299 and NCI-H157/THP-1 cells. Cell characterization was further analyzed. The expression of Ki-67 in tumor tissue was tested by immunohistochemistry. The scale of M1 and M2 macrophages was determined by flow cytometry.

RESULTS

CDCA4 was significantly overexpressed in NCI-H1299 and NCI-H157 cell lines compared with BEAS-2B cells. The fold enrichment of CDCA4 m6A level in the overexpression (oe)-METTL3 or short hairpin (sh)-ALKBH5 cells was enhanced. Overexpression of CDCA4 promoted the cell viability, proliferation and migration, and inhibited apoptosis, which was reversed by sh-ALKBH5 intervention. Overexpression of YTHDC2 (not YTHDC1) inhibited the effect of CDCA4 on sh-ALKBH5 cells. sh-CDCA4 inhibited tumor growth and weight of LLC cells in mice, and promoted M1/M2 ratio in LLC mice and NCI-H1299/THP-1 and NCI-H157/THP-1 co-culture systems. Oe-CDCA4 promoted the volume and weight of tumor and inhibited the M1/M2 ratio of tumor tissue in LLC mice, but was reversed by sh-ALKBH5 intervention.

CONCLUSION

m6A demethylase ALKBH5 promotes the development of LUAD through CDCA4 regulation of malignant characterization and M1/M2 macrophage polarization.

Patterns Lead the Way to Far-from-Equilibrium Materials

The universe is a complex fabric of repeating patterns that unfold their beauty in system-specific diversity. The periodic table, crystallography, and the genetic code are classic examples that illustrate how even a small number of rules generate a vast range of shapes and structures. Today, we are on the brink of an AI-driven revolution that will reveal an unprecedented number of novel patterns, many of which will escape human intuition and expertise. We suggest that in the second half of the 21st century, the challenge for Physical Chemistry will be to guide and interpret these advances in the broader context of physical sciences and materials-related engineering. If we succeed in this role, Physical Chemistry will be able to extend to new horizons. In this article, we will discuss examples that strike us as particularly promising, specifically the discovery of high-entropy and far-from-equilibrium materials as well as applications to origins-of-life research and the search for life on other planets.

Selective formation of metastable polymorphs in solid-state synthesis

Metastable polymorphs often result from the interplay between thermodynamics and kinetics. Despite advances in predictive synthesis for solution-based techniques, there remains a lack of methods to design solid-state reactions targeting metastable materials. Here, we introduce a theoretical framework to predict and control polymorph selectivity in solid-state reactions. This framework presents reaction energy as a rarely used handle for polymorph selection, which influences the role of surface energy in promoting the nucleation of metastable phases. Through in situ characterization and density functional theory calculations on two distinct synthesis pathways targeting LiTiOPO4, we demonstrate how precursor selection and its effect on reaction energy can effectively be used to control which polymorph is obtained from solid-state synthesis. A general approach is outlined to quantify the conditions under which metastable polymorphs are experimentally accessible. With comparison to historical data, this approach suggests that using appropriate precursors could enable targeted materials synthesis across diverse chemistries through selective polymorph nucleation.

Clinical and dosimetric predictors of radiation-induced rhinosinusitis following VMAT for nasopharyngeal carcinoma: A retrospective study

Background

We aimed to investigate the clinical and dosimetric factors associated with radiation-induced rhinosinusitis, and further elucidate the optimal dose-volume constraints for nasopharyngeal cancer patients who underwent volumetric-modulated arc therapy (VMAT).

Methods

A retrospective review of 196 nasopharyngeal carcinoma (NPC) patients who underwent definitive VMAT between August 2018 and May 2021 was conducted. Both clinical and dose-volume histogram (DVH) data of NPC patients without rhinosinusitis at baseline were selected for analysis.

Results

The cumulative incidence of post-RT rhinosinusitis at the 3-, 6-, 9-, and 12-months, and >1 year were 29.6 %, 41.3 %, 42.9 %, and 45.4 %, and 47.4 %, respectively. Nasal irrigation was negatively associated with post-RT rhinosinusitis (p < 0.001). Higher cumulative incidences of maxillary and ethmoid sinusitis were associated with V70 > 1.16 % and >1.00 %, respectively (p = 0.027 and p = 0.002). Sphenoid sinusitis was more frequent when Dmax(maxillary sinus) exceeded 69.2Gy (p = 0.005).

Conclusions

Regular nasal irrigation may reduce the development of rhinosinusitis. Dose-volume constraints of V70 and Dmax to the maxillary sinus are suggested for VMAT planning. Patients exceeding these thresholds should be closely monitored and potentially offered preventative interventions within 3-6 months post-RT.

Atomic-scale probing of short-range order and its impact on electrochemical properties in cation-disordered oxide cathodes

Chemical short-range-order has been widely noticed to dictate the electrochemical properties of Li-excess cation-disordered rocksalt oxides, a class of cathode based on earth abundant elements for next-generation high-energy-density batteries. Existence of short-range-order is normally evidenced by a diffused intensity pattern in reciprocal space, however, derivation of local atomic arrangements of short-range-order in real space is hardly possible. Here, by a combination of aberration-corrected scanning transmission electron microscopy, electron diffraction, and cluster-expansion Monte Carlo simulations, we reveal the short-range-order is a convolution of three basic types: tetrahedron, octahedron, and cube. We discover that short-range-order directly correlates with Li percolation channels, which correspondingly affects Li transport behavior. We further demonstrate that short-range-order can be effectively manipulated by anion doping or post-synthesis thermal treatment, creating new avenues for tailoring the electrochemical properties. Our results provide fundamental insights for decoding the complex relationship between local chemical ordering and properties of crystalline compounds.

Performance of the Cement Grouting Material and Optimization of the Mix Proportion for the Free Section of the Prestressed Anchor Bar

Increasing the water-cement ratio and water-reducer dosage of cement slurry enhances its fluidity. However, a high water-cement ratio diminishes the beneficial effects of water reducers on fluidity. The stone content of the slurry decreases as the water-reducer dosage increases. Additionally, the water-cement ratio significantly affects stone content. However, when the water-cement ratio exceeds a threshold value, stone content decreases. Furthermore, the threshold value of the water-cement ratio decreases with increasing water-reducer dosage. Without the addition of the water reducer, as the water-cement ratio increases the overall integrity of the grout stone decreases. The addition of the water reducer alters the surface pore distribution, wherein "uniform small pores" change to "localized large pores." Based on the multi-objective optimization of Matlab, the recommended optimal mix composition for a slow-setting cement slurry is a water-cement ratio of 0.25 and water-reducer dosage of 1.5%. With the use of this optimized mix composition, the stone content and compressive strength increase by 7.8% and 145.6%, respectively, compared to those obtained using the recommended mix ratio in the specifications. Additionally, all relevant performance parameters meet the requirements specified by previous standards.

Design principles for NASICON super-ionic conductors

Na Super Ionic Conductor (NASICON) materials are an important class of solid-state electrolytes owing to their high ionic conductivity and superior chemical and electrochemical stability. In this paper, we combine first-principles calculations, experimental synthesis and testing, and natural language-driven text-mined historical data on NASICON ionic conductivity to achieve clear insights into how chemical composition influences the Na-ion conductivity. These insights, together with a high-throughput first-principles analysis of the compositional space over which NASICONs are expected to be stable, lead to the successful synthesis and electrochemical investigation of several new NASICONs solid-state conductors. Among these, a high ionic conductivity of 1.2 mS cm-1 could be achieved at 25 °C. We find that the ionic conductivity increases with average metal size up to a certain value and that the substitution of PO4 polyanions by SiO4 also enhances the ionic conductivity. While optimal ionic conductivity is found near a Na content of 3 per formula unit, the exact optimum depends on other compositional variables. Surprisingly, the Na content enhances the ionic conductivity mostly through its effect on the activation barrier, rather than through the carrier concentration. These deconvoluted design criteria may provide guidelines for the design of optimized NASICON conductors.

Efficient asymmetric synthesis of ethyl (R)-3-hydroxybutyrate by recombinant Escherichia coli cells under high substrate loading using eco-friendly ionic liquids as cosolvent

Ionic liquids (ILs) which synthesized from bio-renewable materials have recently attracted much attention for their applications in biocatalysis. Ethyl (R)-3-hydroxybutyrate ((R)-EHB) as a versatile chiral intermediate is of great interest in pharmaceutical synthesis. This study focuses on evaluating the performances of choline chloride (ChCl)-based and tetramethylammonium (TMA)-based neoteric ILs in the efficient synthesis of (R)-EHB via the bioreduction of ethyl acetoacetate (EAA) at high substrate loading by recombinant Escherichia coli cells. It was found that choline chloride/glutathione (ChCl/GSH, molar ratio 1:1) and tetramethylammonium/cysteine ([TMA][Cys], molar ratio 1:1) as eco-friendly ILs not only enhanced the solubility of water-insoluble EAA in the aqueous buffer system, but also appropriately improved the membrane permeability of recombinant E. coli cells, thus boosting catalytic reduction efficiency of EAA to (R)-EHB. In the developed ChCl/GSH- or [TMA][Cys]-buffer systems, the space-time yields of (R)-EHB achieved 754.9 g/L/d and 726.3 g/L/d, respectively, which are much higher than neat aqueous buffer system (537.2 g/L/d space-time yield). Meanwhile, positive results have also been demonstrated in the bioreduction of other prochiral ketones in the established IL-buffer systems. This work exhibits an efficient bioprocess for (R)-EHB synthesis under 325 g/L (2.5 M) substrate loading, and provides promising ChCl/GSH- and [TMA][Cys]-buffer systems employed in the biocatalysis for hydrophobic substrate.

Efficacy of coenzyme Q10 supplementation for male infertility with high sperm DNA fragmentation index: a protocol for a systematic review and meta-analysis

INTRODUCTION

Infertility is a focal issue in public health and affects human reproduction and survival. Notably, an increasing number of studies in recent decades have found that sperm DNA integrity plays a critical role in the development of healthy embryos. Among the multiple pathogenic factors of sperm DNA fragmentation, oxidative stress has proven to be predominant. Coenzyme Q10 supplementation, which has been used for the treatment of male infertility, has shown good clinical efficacy due to its oxidation resistance, but its efficacy as measured by the sperm DNA fragmentation index remains controversial. To address this issue, we will perform a systematic review and meta-analysis to evaluate the efficacy of coenzyme Q10 for male infertility patients with a high sperm DNA fragmentation index.

METHODS AND ANALYSIS

The PubMed, Embase, Cochrane Central Register of Studies and Web of Science databases will be comprehensively searched from inception to 31 December 2022 to identify relevant studies published in the English language using appropriate search strategies. The search terms will be derived from the following concepts: sperm DNA fragmentation, coenzyme Q10 and randomised controlled trials. Two review stages, that is, title and abstract screening and full-text screening, will be performed by two reviewers. The risk of bias, publication bias and evidence grade of the included studies will be assessed using a standardised protocol. Data will be used to calculate effect sizes. Heterogeneity among the studies will be evaluated graphically. Subgroup analysis and sensitivity analysis will be performed if necessary to validate the results.

ETHICS AND DISSEMINATION

No ethical approval will be needed, as there will be no participants in this study. We will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to disseminate the findings through publication and conference presentation.

PROSPERO REGISTRATION NUMBER

CRD42022293340.

Identification and verification of an ALYREF-involved 5-methylcytosine based signature for stratification of prostate cancer patients and prediction of clinical outcome and response to therapies

OBJECTIVES

Due to the heterogeneity of PCa, the clinical indicators used for PCa can't satisfy risk prognostication and personalized treatment. It is imperative to develop novel biomarkers for prognosis prediction and therapy response in PCa. Accumulating evidence shows that non-mutational epigenetic reprogramming, independent from genomic instability and mutation, serves as a newly added hallmark in cancer progression.

METHODS

In this study, we integrated multi-center cohorts (N > 1300) to develop a RNA 5-methylcytosine regulator-based signature, the m5C score. We performed unsupervised clustering and LASSO regression to identify novel m5C-related subtypes and calculate the m5C score. Then we assessed the role of m5C cluster and m5C score in several clinical aspects such as prognosis in various molecular subtypes, responses to chemotherapy, androgen receptor signaling inhibitor (ARSI) therapy and immunotherapy in PCa. Finally, we validated the cancer-promoting performance of ALYREF through clinical data analysis and experiments in vivo and in vitro.

RESULTS

The investigation revealed that the m5C score could accurately predict the biochemical recurrence (BCR) in different subtypes (the PAM50 subtypes and immunophenotypes) and the responses to chemotherapy, ARSI therapy, and immunotherapy (PD1/PD-L1). A high m5C score indicated a poor BCR prognosis in every subtype of PCa, unfavorable responses in ARSI therapy and immunotherapy (PD1/PD-L1). Moreover, the m5C reader gene termed ALYREF, yielding the highest weighed coefficient, promoted PCa progression through in silico analysis and experimental validations (in vivo and in vitro).

CONCLUSIONS

The m5C signature can function in many aspects of PCa, such as the development and prognosis of the disease, and multiple therapy responses. Further, the m5C reader, ALYREF, was identified as a prognostic biomarker and a potential therapeutic target for PCa. The m5C signature could act as a brand-new tool for predicting the prognosis of patients in different molecular subtypes and patients' therapy responses and promoting customized treatments.

Inhibiting collective cation migration in Li-rich cathode materials as a strategy to mitigate voltage hysteresis

Lithium-rich cathodes are promising energy storage materials due to their high energy densities. However, voltage hysteresis, which is generally associated with transition metal migration, limits their energy efficiency and implementation in practical devices. Here we reveal that voltage hysteresis is related to the collective migration of metal ions, and that isolating the migration events from each other by creating partial disorder can create high-capacity reversible cathode materials, even when migrating transition metal ions are present. We demonstrate this on a layered Li-rich chromium manganese oxide that in its fully ordered state displays a substantial voltage hysteresis (>2.5 V) associated with collective transition metal migration into Li layers, but can be made to achieve high capacity (>360 mAh g^-1) and energy density (>1,100 Wh kg^-1) when the collective migration is perturbed by partial disorder. This study demonstrates that partially cation-disordered cathode materials can accommodate a high level of transition metal migration, which broadens our options for redox couples to those of mobile cations.

High-entropy mechanism to boost ionic conductivity

Advances in solid-state batteries have primarily been driven by the discovery of superionic conducting structural frameworks that function as solid electrolytes. We demonstrate the ability of high-entropy metal cation mixes to improve ionic conductivity in a compound, which leads to less reliance on specific chemistries and enhanced synthesizability. The local distortions introduced into high-entropy materials give rise to an overlapping distribution of site energies for the alkali ions so that they can percolate with low activation energy. Experiments verify that high entropy leads to orders-of-magnitude higher ionic conductivities in lithium (Li)-sodium (Na) superionic conductor (Li-NASICON), sodium NASICON (Na-NASICON), and Li-garnet structures, even at fixed alkali content. We provide insight into selecting the optimal distortion and designing high-entropy superionic conductors across the vast compositional space.

CDCA4 as a novel molecular biomarker of poor prognosis in patients with lung adenocarcinoma

Background

Because of the high incidence and poor prognoses of lung adenocarcinoma (LUAD), it is essential to identify cost-effective treatment options and accurate and reliable prognostic biomarkers. CDCA4 upregulation has been identified in many cancers. However, the prognostic importance of CDCA4 and its role in LUAD remain unknown.

Methods

CDCA4 expression was assessed through IHC, Western blotting (WB) and RT-PCR. The Cancer Genome Atlas (TCGA) provided data from 513 patients to study the expression and prognostic relevance of CDCA4 in LUAD. This study used gene set enrichment analyses (GSEA), gene ontology and KEGG pathway analyses for elucidating potential mechanisms underpinning the function of CDCA4 in LUAD. We also investigated correlations between immune infiltration and CDCA4 expression with single specimen GSEA (ssGSEA).

Results

According to database analysis and identification of patient tissue samples, CDCA4 expression in tumour tissues surpassed that in normal tissues (P< 0.001). Increased CDCA4 expression was positively correlated with a higher T, N, pathologic stage and poor primary therapy outcome. In addition, the Kaplan–Meier plotter exhibited that an elevated CDCA4 expression was related to worse disease-specific survival(DSS) and overall survival (OS) (DSS HR= 5.145, 95% CI=3.413-7.758, P<0.001; OS HR=3.570, 95% CI=2.472-5.155, P<0.001). Then multivariate COX regression analyses indicated that the CDCA4 gene was an independent risk consideration for prognoses. GO and KEGG results showed that CDCA4 and its neighbouring genes were enriched in the cell cycle and DNA replication. As determined by GSEA, CDCA4 was related to various immune-related signalling pathways (SPs), Homologous recombination, DNA replication and the cell cycle. SsGSEA analysis showed a significant association between CDCA4 expression and Th2 cells, mast cells, eosinophils and Th17 cells.

Conclusions

CDCA4 expression is increased in LUAD and is a potential predictive biomarker and therapeutic target.

Machine-Learning Rationalization and Prediction of Solid-State Synthesis Conditions

There currently exist no quantitative methods to determine the appropriate conditions for solid-state synthesis. This not only hinders the experimental realization of novel materials but also complicates the interpretation and understanding of solid-state reaction mechanisms. Here, we demonstrate a machine-learning approach that predicts synthesis conditions using large solid-state synthesis data sets text-mined from scientific journal articles. Using feature importance ranking analysis, we discovered that optimal heating temperatures have strong correlations with the stability of precursor materials quantified using melting points and formation energies (ΔG _f , ΔH _f ). In contrast, features derived from the thermodynamics of synthesis-related reactions did not directly correlate to the chosen heating temperatures. This correlation between optimal solid-state heating temperature and precursor stability extends Tamman's rule from intermetallics to oxide systems, suggesting the importance of reaction kinetics in determining synthesis conditions. Heating times are shown to be strongly correlated with the chosen experimental procedures and instrument setups, which may be indicative of human bias in the data set. Using these predictive features, we constructed machine-learning models with good performance and general applicability to predict the conditions required to synthesize diverse chemical systems.

An implantable ultrasound-powered device for the treatment of brain cancer using electromagnetic fields

Brain tumors have been proved challenging to treat. Here, we present a promising alternative by developing an implantable ultrasound-powered tumor treating device (UP-TTD) that electromagnetically disrupts the rapid division of cancer cells without any adverse effects on normal neurons, thereby safely inhibiting brain cancer recurrence. In vitro and in vivo experiments confirmed the significant therapeutic effect of the UP-TTD, with ~58% inhibition on growth rate of clinical tumor cells and ~78% reduction of cancer area in tumor-bearing rats. This UP-TTD is wireless ultrasound-powered, chip-sized, lightweight, and easy to operate on complex surfaces, with a largely boosting therapeutic efficiency and reducing energy consumption. Meanwhile, various treatment parameters could be tuned from the UP-TTD without increasing its size or adding circuits on the integrated chip. The tuning process was simulated and discussed, showing an excellent agreement with the experimental data. The encouraging results of the UP-TTD raise the possibility of a new modality for brain cancer treatment.

Poor Pre-operative Nutritional Status Is a Risk Factor of Post-operative Infections in Patients With Gastrointestinal Cancer—A Multicenter Prospective Cohort Study

Objective

This study aimed to assess the prognostic value of the Nutritional Risk Score 2002 (NRS2002) and patient-generated subjective global assessment (PG-SGA) for post-operative infections in patients with gastric cancer (GC) and colorectal cancer (CRC) who underwent curative surgery.

Methods

This prospective study included 1,493 GC patients and 879 CRC patients who underwent curative surgery at 18 hospitals in China between April 2017 and March 2020. The NRS2002 and PG-SGA were performed on the day of admission. The relationship between the nutritional status of patients before surgery and post-surgical incidence of infection was analyzed using univariate and multiple logistic regression analyses.

Results

According to NRS2002, the prevalence of nutritional risk was 51.1% in GC patients and 63.9% in CRC patients. According to the PG-SGA, 38.9% of GC patients and 54.2% of CRC patients had malnutrition. Approximately 4.4% of the GC patients and 9.9% of the CRC patients developed infectious complications after surgery. The univariate and multiple logistic regression analyses showed that the risk of infections was significantly higher in GC patients with a high nutritional risk score (NRS2002 ≥5) than in those with a low score (NRS2002 <3), and the PG-SGA score was identified as a predictor of post-operative infection complications of CRC.

Conclusion

The pre-operative nutritional status of patients with GC or CRC has an impact on post-operative infection occurrence. NRS2002 ≥5 was a risk factor for post-operative infection in patients with GC, and the PG-SGA B/C was a predictor of infections in patients with CRC.

Altered small non‑coding RNA expression profiles of extracellular vesicles in the prostatic fluid of patients with chronic pelvic pain syndrome

Chronic pelvic pain syndrome (CPPS) and chronic prostatitis (CP) is difficult to distinguish from each other, herein termed CP/CPPS. The present study aimed at gaining further insight into the change in extracellular vesicles (EVs) in the prostatic fluid of males with CPPS. From December 2019 to November 2020, after clinical screening, 24 patients with CPPS without obvious urinary symptoms and 13 healthy male participants were included. EVs were isolated from expressed prostatic secretion (EPS) of all subjects. The small non-coding ribonucleic acid (sncRNA) expression of EVs was sequenced, analyzed, and validated by quantitative real-time polymerase chain reaction (qPCR) assays. The results showed that numerous sncRNAs were differentially expressed between the patients and healthy participants. Further qPCR assays validated that several chronic pain-related miRNAs, including miR-204-5p, let-7d-3p, let-7b-3p, let-7c-3p, miR-146a-5p, and miR-320a-5p, were differentially expressed. Series sncRNAs including several chronic pain-related miRNAs were altered in EVs in prostatic fluid of patients with CPPS, which may serve as diagnostic markers for CPPS.

Anatomical Transcriptome Atlas of the Male Mouse Reproductive System During Aging

The elderly males undergo degenerative fertility and testicular endocrine function that jeopardize the reproductive health and well-being. However, the mechanisms underlying reproductive aging are unclear. Here, we tried to address this by investigating the phenotypes and transcriptomes of seven regions of the male mouse reproductive tract: the testis, efferent ductules, initial segment, caput, corpus and cauda epididymidis, and vas deferens, in adult (3 months) and aged (21 months) mice. Quantitative PCR, immunohistochemistry, immunofluorescent staining, and enzyme-linked immunosorbent assay were performed for the analysis of gene expression in mice, human tissues, and semen samples. Aged male mice showed both systematic and reproductive changes, and remarkable histological changes were detected in the testis and proximal epididymis. Transcriptomes of the male reproductive tract were mapped, and a series of region-specific genes were identified and validated in mouse and/or human tissues, including Protamine 1 (Prm2), ADAM metallopeptidase domain 28 (Adam28), Ribonuclease A family member 13 (Rnase13), WAP four-disulfide core domain 13 (Wfdc13), and Wfdc9. Meanwhile, age-related transcriptome changes of different regions of the male reproductive tract were characterized. Notably, increased immune response was functionally related to the male reproductive aging, especially the T cell activation. An immune response-associated factor, phospholipase A2 group IID (Pla2g2d), was identified as a potential biomarker for reproductive aging in mice. And the PLA2G2D level in human seminal plasma surged at approximately 35 years of age. Furthermore, we highlighted Protein tyrosine phosphatase receptor type C (Ptprc), Lymphocyte protein tyrosine kinase (Lck), Microtubule associated protein tau (Mapt), and Interferon induced protein with tetratricopeptide repeats 3 (Ifit3) as critical molecules in the aging of initial segment, caput, caput, and cauda epididymidis, respectively. This study provides an RNA-seq resource for the male reproductive system during aging in mice, and is expected to improve our understanding of male reproductive aging and infertility.

Three-Generation Study of Male Rats Gestationally Exposed to High Butterfat and Bisphenol A: Impaired Spermatogenesis, Penetrance with Reduced Severity

Gestational high butterfat (HFB) and/or endocrine disruptor exposure was previously found to disrupt spermatogenesis in adulthood. This study addresses the data gap in our knowledge regarding transgenerational transmission of the disruptive interaction between a high-fat diet and endocrine disruptor bisphenol A (BPA). F0 generation Sprague-Dawley rats were fed diets containing butterfat (10 kcal%) and high in butterfat (39 kcal%, HFB) with or without BPA (25 µg/kg body weight/day) during mating and pregnancy. Gestationally exposed F1-generation offspring from different litters were mated to produce F2 offspring, and similarly, F2-generation animals produced F3-generation offspring. One group of F3 male offspring was administered either testosterone plus estradiol-17β (T + E2) or sham via capsule implants from postnatal days 70 to 210. Another group was naturally aged to 18 months. Combination diets of HFB + BPA in F0 dams, but not single exposure to either, disrupted spermatogenesis in F3-generation adult males in both the T + E2-implanted group and the naturally aged group. CYP19A1 localization to the acrosome and estrogen receptor beta (ERbeta) localization to the nucleus were associated with impaired spermatogenesis. Finally, expression of methyl-CpG-binding domain-3 (MBD3) was consistently decreased in the HFB and HFB + BPA exposed F1 and F3 testes, suggesting an epigenetic component to this inheritance. However, the severe atrophy within testes present in F1 males was absent in F3 males. In conclusion, the HFB + BPA group demonstrated transgenerational inheritance of the impaired spermatogenesis phenotype, but severity was reduced in the F3 generation.

Retrieval of water quality parameters from hyperspectral images using a hybrid feedback deep factorization machine model

Environmental protection of water resources is of critical importance to daily life of human beings. In recent years, monitoring the variation of water quality using remote sensing techniques has become prevalent. Unmanned aerial vehicle (UAV) based remote sensing techniques have been applied to quantitative retrieval of concentrations of water quality parameters including phosphorus, nitrogen, chemical oxygen demand (COD), biochemical oxygen demand (BOD), and chlorophyll a (Chl-a), successfully and efficiently. In this study, a novel method with deep factorization machine, spatial distribution pattern analysis, and probabilistic analysis engaged, named hybrid feedback deep factorization machine (HF-DFM), has been developed to quantitatively estimate concentrations of water quality parameters based on hyperspectral reflectance data on large scale effectively. Our proposed method is a unified model for quantifying concentrations of water quality parameters with an end to end structure, which integrates UAV based optical remote sensing techniques and deep learning to estimate concentrations of water quality parameters. Furthermore, our proposed model was applied to real-time quantitative monitoring the variation of water quality of Mazhou River, Shenzhen, Guangdong, China. Finally, we evaluate the performance of proposed model on a real-world dataset in terms of root of mean squared error (RMSE), mean absolute percent error (MAPE), and coefficient of determination (R²). The experimental results show that our proposed model outperforms other state-of-the-art models with respect to RMSE, MAPE, and R², where resulting MAPEs for quantifying all water quality parameters range from 8.78% to 12.36%, and resulting R²s range from 0.81 to 0.93. It can serve as a useful tool for decision makers in effectively monitoring water quality of urban rivers.

Real-time characterization of aerosol particle composition, sources and influences of increased ventilation and humidity in an office

Most of human exposure to atmospheric pollutants occurs indoors, and the components of outdoor aerosols may have been changed in the way before reaching indoor spaces. Here we conducted real-time online measurements of mass concentrations and chemical composition of black carbon and the non-refractory species in PM_2.5 in an occupied office for approximately one month. The open-close windows and controlled dampness experiments were also performed. Our results show that indoor aerosol species primarily originate from outdoors with indoor/outdoor ratio of these species typically less than unity except for certain organic aerosol (OA) factors. All aerosol species went through filtration upon transport indoors. Ammonium nitrate and fossil fuel OA underwent evaporation or particle-to-gas partitioning, while less oxidized secondary OA (SOA) underwent secondary formation and cooking OA might have indoor sources. With higher particulate matter (PM) mass concentration outdoors than in the office, elevated natural ventilation increased PM exposure indoors and this increased exposure was prolonged when outdoor PM was scavenged. We found that increasing humidity in the office led to higher indoor PM mass concentration particularly more oxidized SOA. Overall, our results highlight that indoor exposure of occupants is substantially different from outdoor in terms of mass concentrations and chemical species.

Kidney Injury in a Hemodilution Model of Hemorrhagic Shock and Fluid Resuscitation

BACKGROUND

Fluid therapy is indispensable in treating patients with hemorrhagic shock. However, fluid overload correlates with kidney injury in patients with hemorrhagic shock. We hypothesized that hemodilution after fluid treatment contributes to the kidney injury.

METHODS

An animal model was established to mimic different severity of hemodilution, through resuscitating hemorrhagic shock with mixture of blood and lactated Ringer's solution (LR) in different ratios. A total of 20 rats were divided into the following four groups, the Sham group, Mild group, Moderate group, and Severe group. In the Sham group, rats were anesthetized and catheterized only. In the other three groups, shock was induced by extracting 40% of the estimated circulating blood. One hour later, rats were resuscitated with a mixture of blood and LR with ratio 1:0 in the Mild group, 0.5:0.5 in the Moderate group, and 0:1 in the Severe group. The histology of the kidneys was observed with hematoxylin and eosin (HE) staining. The mitochondria membrane potential ψ and adenosine triphosphate (ATP) production of the kidneys were measured. The serum creatinine (SCr) and blood urine nitrogen (BUN) were measured.

RESULTS

Renal tubular lumina dilation and mild interstitial edema occurred in the Mild group with HE staining. Proximal convoluted tubule damage, including tubular casts, narrow renal tubular lumina, and interstitial edema occurred in the Moderate group and Severe group. Mitochondrial JC-1 and ATP production decreased as hemodilution progressed. SCr and BUN increased in the Moderate group and Severe group.

CONCLUSIONS

The hemodilution post hemorrhagic shock and fluid resuscitation led to kidney injury.

Define dose field to assess the modulation complexity of intensity-modulated radiation therapy

PURPOSE

Introduce a new concept of dose field to assess the modulation complexity (MC) of intensity-modulated radiation therapy (IMRT).

METHODS

A total of 91 IMRT plans for different diseases were retrospectively retrieved randomly from treatment database. The dose field of plans were calculated and feature values such as force magnitude and diversity were defined and extracted. Correlation analysis between these feature values and execution cost, delivery accuracy of plans was performed, to verify the validity of dose field in characterizing the MC.

RESULTS

The feature values of dose field in different disease own significant differences (p < 0.001). For correlation analysis, number of control point (CP) and cumulative perimeter of CP have the highest correlation with angle entropy (0.815 and 0.848 respectively), while the correlation between number of monitor units(MU), cumulative area of CP and force, force entropy is higher than others (0.797-0.909). However, complexity of CP shape is almost irrelevant to all the dose field features. The gamma passing rate and the dose field features shows a weak negative correlation trend.

CONCLUSIONS

Dose field can be used as a tool to assess the MC of IMRT.

Ambient marine shipping emissions determined by vessel operation mode along the East China Sea

Marine shipping emissions exert important air quality and climate impacts. This study characterized the ambient pollutants predominant by emissions from a variety of marine vessel types near the mid-latitude East China Sea. Two discernible primary shipping emissions were identified by factorization analysis on detailed mass spectra of organic aerosol (OA), as emissions in maneuvering and cruise, highly linked with NO_x (and less oxidized OA, black carbon, BC) or CO (and more oxidized OA), respectively. Using radio-recorded quantities and activities of 3566 vessels mixed with slow and high-speed diesel engines, we found emission of NO_x or BC per vessel was positively correlated with vessel speed, while CO emission peaked at moderate speed. The approach here based on vessel operation mode directly linked the vessel activities to ambient concentrations of pollutants from marine shipping emission, and may synthesize the complex vessel types in shipping emission inventory.

Vertical Distributions of Primary and Secondary Aerosols in Urban Boundary Layer: Insights into Sources, Chemistry, and Interaction with Meteorology

Vertical measurements are essential for the characterization of aerosol and boundary layer interactions; yet, our knowledge of vertical profiles of primary and secondary aerosol species in megacities is limited. Here, we conducted comprehensive vertical measurements of aerosol particle composition on a 325 m meteorological tower with two aerosol chemical speciation monitors in winter in urban Beijing. The simultaneous measurements at ground level, 140, and 240 m illustrated similar aerosol bulk composition at these three heights. However, the vertical ratios varied significantly among different aerosol species. Particularly, the vertical ratios of the aqueous phase and photochemical-related secondary organic aerosol (SOA) (aqOOA/OOA) decreased significantly, accompanied by the increases in ratios of secondary to primary OA, highlighting different chemical properties of OA between ground level and aloft, and the large impacts of vertical changes in meteorology and gaseous precursors on SOA formation. The vertical changes in NO₃/SO₄ ratios, however, were mostly insignificant, likely due to the low relative humidity and aerosol water content that inhibited nocturnal heterogeneous reactions in the residual layer. Considerable increases in the ratios of 240 m to ground level in the early morning were also observed for most aerosol species, demonstrating impact of residual layer on the air pollution of 2nd day.

Perfluoroalkyl Chemicals and Male Reproductive Health: Do PFOA and PFOS Increase Risk for Male Infertility?

Poly- and perfluoroalkyl substances (PFAS) are manmade synthetic chemicals which have been in existence for over 70 years. Though they are currently being phased out, their persistence in the environment is widespread. There is increasing evidence linking PFAS exposure to health effects, an issue of concern since PFAS such as perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA) bioaccumulate in humans, with a half-life of years. Many epidemiological studies suggest that, worldwide, semen quality has decreased over the past several decades. One of the most worrying effects of PFOS and PFOA is their associations with lower testosterone levels, similar to clinical observations in infertile men. This review thus focuses on PFOS/PFOA-associated effects on male reproductive health. The sources of PFAS in drinking water are listed. The current epidemiological studies linking increased exposure to PFAS with lowered testosterone and semen quality, and evidence from rodent studies supporting their function as endocrine disruptors on the reproductive system, exhibiting non-monotonic dose responses, are noted. Finally, their mechanisms of action and possible toxic effects on the Leydig, Sertoli, and germ cells are discussed. Future research efforts must consider utilizing better human model systems for exposure, using more accurate PFAS exposure susceptibility windows, and improvements in statistical modeling of data to account for the endocrine disruptor properties of PFAS.

miR‑146b‑5p inhibits tumorigenesis and metastasis of gallbladder cancer by targeting Toll‑like receptor 4 via the nuclear factor‑κB pathway

Gallbladder cancer (GBC) is a carcinoma of the biliary tract, which is common in developing countries and is associated with a high fatality rate. The aim of the present study was to investigate the mechanisms underlying the occurrence and development of GBC. A decrease in the expression of miR‑146b‑5p and an increase in the expression of its target gene Toll‑like receptor 4 (TLR4) were first observed in GBC tissues. Further study demonstrated that an increase in TLR4 expression caused by a decrease in miR‑146b‑5p expression led to activation of nuclear factor (NF)‑κB signaling. GBC cells were cultured in vitro, and it was observed that overexpression of miR‑146b‑5p effectively inhibited their viability, proliferation, migration and invasion, and increased their apoptosis. Using a BALB/c nude mouse xenograft model, it was demonstrated that overexpression of miR‑146b‑5p was sufficient to reduce tumor volume and alleviate pathological characteristics. Overall, the results of the present study indicated that the decrease in the expression of miR‑146b‑5p increased TLR4 expression and indirectly activated the NF‑κB signaling pathway, thereby regulating the development of GBC.

LncRNA NEAT1 activates MyD88/NF-κB pathway in bronchopneumonia through targeting miR-155-5p

BACKGROUND

Bronchopneumonia is a disease of the respiratory tract. It leads to other complications and endangers life and health. Long non-coding RNA (lncRNA) participates in the occurrence and development of bronchopneumonia. Nuclear paraspeckle assembly transcript 1 (NEAT1) plays a key role in inflammatory diseases, but the function of NEAT1 in bronchopneumonia remains unclear.

METHODS

RT-qPCR and Western blotting were performed to determine genes and proteins expressions. MTT was applied to test cell viability. Cell apoptosis was detected by flow cytometry. RIP was used to investigate the correlation between NEAT1 and miR-155-5p. The interaction between miR-155-5p and NEAT1 or MyD88 was evaluated by the dual-luciferase reporter gene.

RESULTS

NEAT1 and MyD88 were upregulated in BEAS-2B cells by LPS, while miR-155-5p was downregulated. Knockdown of NEAT1 inhibited LPS-induced BEAS-2B cells growth inhibition by inhibiting the apoptosis. In addition, NEAT1 silencing suppressed LPS-induced inflammatory responses in BEAS-2B cells via suppression of TNF-α, IL-1β, IL-6, and IL-18. Meanwhile, NEAT1 is directly bound to miR-155-5p to regulate MyD88/NF-κB axis, and overexpression of miR-155-5p increased cell proliferation and suppressed inflammatory factors expression levels and cell apoptosis. Furthermore, sh-NEAT1-induced inhibition of BEAS-2B cells injury was partially reversed by miR-155-5p inhibitor or MyD88 overexpression.

CONCLUSION

NEAT1 silencing suppressed LPS-induced BEAS-2B cells injury and inflammation by the mediation of miR-155-5p/MyD88/NF-κB axis. Thus, our study might shed new light on exploring the new strategies for the treatment of bronchopneumonia.

Using highly time-resolved online mass spectrometry to examine biogenic and anthropogenic contributions to organic aerosol in Beijing

Organic aerosols, a major constituent of fine particulate mass in megacities, can be directly emitted or formed from secondary processing of biogenic and anthropogenic volatile organic compound emissions. The complexity of volatile organic compound emission sources, speciation and oxidation pathways leads to uncertainties in the key sources and chemistry leading to formation of organic aerosol in urban areas. Historically, online measurements of organic aerosol composition have been unable to resolve specific markers of volatile organic compound oxidation, while offline analysis of markers focus on a small proportion of organic aerosol and lack the time resolution to carry out detailed statistical analysis required to study the dynamic changes in aerosol sources and chemistry. Here we use data collected as part of the joint UK-China Air Pollution and Human Health (APHH-Beijing) collaboration during a field campaign in urban Beijing in the summer of 2017 alongside laboratory measurements of secondary organic aerosol from oxidation of key aromatic precursors (1,3,5-trimethyl benzene, 1,2,4-trimethyl benzene, propyl benzene, isopropyl benzene and 1-methyl naphthalene) to study the anthropogenic and biogenic contributions to organic aerosol. For the first time in Beijing, this study applies positive matrix factorisation to online measurements of organic aerosol composition from a time-of-flight iodide chemical ionisation mass spectrometer fitted with a filter inlet for gases and aerosols (FIGAERO-ToF-I-CIMS). This approach identifies the real-time variations in sources and oxidation processes influencing aerosol composition at a near-molecular level. We identify eight factors with distinct temporal variability, highlighting episodic differences in OA composition attributed to regional influences and in situ formation. These have average carbon numbers ranging from C₅-C₉ and can be associated with oxidation of anthropogenic aromatic hydrocarbons alongside biogenic emissions of isoprene, α-pinene and sesquiterpenes.

Establishing a nonlethal and efficient mouse model of male gonadotoxicity by intraperitoneal busulfan injection

An ideal animal model of azoospermia would be a powerful tool for the evaluation of spermatogonial stem cell (SSC) transplantation. Busulfan has been commonly used to develop such a model, but 30%–87% of mice die when administered an intraperitoneal injection of 40 mg kg⁻¹. In the present study, hematoxylin and eosin staining, Western blot, immunofluorescence, and quantitative real-time polymerase chain reaction were used to test the effects of busulfan exposure in a mouse model that received two intraperitoneal injections of busulfan at a 3-h interval at different doses (20, 30, and 40 mg kg⁻¹) on day 36 or a dose of 40 mg kg⁻¹ at different time points (0, 9, 18, 27, 36, and 63 days). The survival rate of the mice was 100%. When the mice were treated with 40 mg kg⁻¹ busulfan, dramatic SSC depletion occurred 18 days later and all of the germ cells were cleared by day 36. In addition, the gene expressions of glial cell line-derived neurotrophic factor (GDNF), fibroblast growth factor 2 (FGF2), chemokine (C-X-C Motif) ligand 12 (CXCL12), and colony-stimulating factor 1 (CSF1) were moderately increased by day 36. A 63-day, long-term observation showed the rare restoration of endogenous germ cells in the testes, suggesting that the potential period for SSC transplantation was between day 36 and day 63. Our results demonstrate that the administration of two intraperitoneal injections of busulfan (40 mg kg⁻¹ in total) at a 3-h interval to mice provided a nonlethal and efficient method for recipient preparation in SSC transplantation and could improve treatments for infertility and the understanding of chemotherapy-induced gonadotoxicity.

Cation-disordered rocksalt-type high-entropy cathodes for Li-ion batteries

High-entropy (HE) ceramics, by analogy with HE metallic alloys, are an emerging class of solid solutions composed of a large number of species. These materials offer the benefit of large compositional flexibility and can be used in a wide variety of applications, including thermoelectrics, catalysts, superionic conductors and battery electrodes. We show here that the HE concept can lead to very substantial improvements in performance in battery cathodes. Among lithium-ion cathodes, cation-disordered rocksalt (DRX)-type materials are an ideal platform within which to design HE materials because of their demonstrated chemical flexibility. By comparing a group of DRX cathodes containing two, four or six transition metal (TM) species, we show that short-range order systematically decreases, whereas energy density and rate capability systematically increase, as more TM cation species are mixed together, despite the total metal content remaining fixed. A DRX cathode with six TM species achieves 307 mAh g^-1 (955 Wh kg^-1) at a low rate (20 mA g^-1), and retains more than 170 mAh g^-1 when cycling at a high rate of 2,000 mA g^-1. To facilitate further design in this HE DRX space, we also present a compatibility analysis of 23 different TM ions, and successfully synthesize a phase-pure HE DRX compound containing 12 TM species as a proof of concept.

Key Role of NO3 Radicals in the Production of Isoprene Nitrates and Nitrooxyorganosulfates in Beijing

The formation of isoprene nitrates (IsN) can lead to significant secondary organic aerosol (SOA) production and they can act as reservoirs of atmospheric nitrogen oxides. In this work, we estimate the rate of production of IsN from the reactions of isoprene with OH and NO₃ radicals during the summertime in Beijing. While OH dominates the loss of isoprene during the day, NO₃ plays an increasingly important role in the production of IsN from the early afternoon onwards. Unusually low NO concentrations during the afternoon resulted in NO₃ mixing ratios of ca. 2 pptv at approximately 15:00, which we estimate to account for around a third of the total IsN production in the gas phase. Heterogeneous uptake of IsN produces nitrooxyorganosulfates (NOS). Two mono-nitrated NOS were correlated with particulate sulfate concentrations and appear to be formed from sequential NO₃ and OH oxidation. Di- and tri-nitrated isoprene-related NOS, formed from multiple NO₃ oxidation steps, peaked during the night. This work highlights that NO₃ chemistry can play a key role in driving biogenic-anthropogenic interactive chemistry in Beijing with respect to the formation of IsN during both the day and night.

Promises and Challenges of Next-Generation "Beyond Li-ion" Batteries for Electric Vehicles and Grid Decarbonization

The tremendous improvement in performance and cost of lithium-ion batteries (LIBs) have made them the technology of choice for electrical energy storage. While established battery chemistries and cell architectures for Li-ion batteries achieve good power and energy density, LIBs are unlikely to meet all the performance, cost, and scaling targets required for energy storage, in particular, in large-scale applications such as electrified transportation and grids. The demand to further reduce cost and/or increase energy density, as well as the growing concern related to natural resource needs for Li-ion have accelerated the investigation of so-called "beyond Li-ion" technologies. In this review, we will discuss the recent achievements, challenges, and opportunities of four important "beyond Li-ion" technologies: Na-ion batteries, K-ion batteries, all-solid-state batteries, and multivalent batteries. The fundamental science behind the challenges, and potential solutions toward the goals of a low-cost and/or high-energy-density future, are discussed in detail for each technology. While it is unlikely that any given new technology will fully replace Li-ion in the near future, "beyond Li-ion" technologies should be thought of as opportunities for energy storage to grow into mid/large-scale applications.

[Clinical study of D-lactate and intestinal fatty acid binding protein in evaluating disease severity and prognosis of ICU patients: secondary analysis of a prospective, multicenter clinical study]

OBJECTIVE

To analyze the relationship between D-lactate, intestinal fatty acid binding protein (I-FABP) and the severity as well as the prognosis of patients in intensive care unit (ICU).

METHODS

Using a retrospective approach, the data derived from a prospective, randomized, single-blind, multicenter clinical study published earlier by our group were further analyzed to evaluate the effect of fat-modified enteral nutrition (EN) suspension on the intestinal barrier in ICU patients. In this study, a total of 141 patients were recruited from 7 ICUs in South China, and 15 healthy volunteers were included as healthy control group. Clinical data of patients were collected, including gender, age, disease severity related indicators such as acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), C-reactive protein (CRP) and initial ICU diagnosis, as well as prognostic indicators such as length of stay in ICU, length of stay in hospital and prognosis of patients at 28 days. To compare the difference of serum D-lactate and I-FABP between ICU patients and healthy control group on day 0 (the day before EN reached 500 mL) and day 5 (EN ≥ 2 092 kJ/d for 5 days). According to the hemodynamic and/or mechanical ventilation status on day 5 (compared with day 0), 141 patients were divided into the improvement group (101 cases) and the non-improvement group (40 cases), and the changes of D-lactate and I-FABP in the two groups were observed. Spearman correlation analysis was used to analyze the correlation between serum D-lactate, I-FABP and the severity of the disease, as well as the predictive value of dynamic changes of D-lactate and I-FABP on the prognosis of 28 days.

RESULTS

Compared with the healthy volunteers, the serum D-lactate and I-FABP levels of ICU patients on day 0 were significantly increased [D-lactate (mg/L): 10.82 (3.31, 25.48) vs. 6.63 (1.54, 17.70), I-FABP (ng/L): 519.60 (159.06, 1 362.14) vs. 84.40 (30.78, 108.57), both P < 0.01], and D-lactate and I-FABP on day 5 were both decreased compared with the levels on day 0, but still higher than the healthy volunteers. I-FABP in the improvement group was significantly lower than that in the non-improvement group on day 0, and there was no significant difference in D-lactate levels between the two groups, D-lactate and I-FABP in both groups were significantly lower on day 5 than those on day 0, and D-lactate and I-FABP in the improvement group on day 5 were significantly lower than those in the non-improvement group [D-lactate (mg/L): 7.61 (1.71, 27.22) vs. 9.38 (2.09, 20.56), I-FABP (ng/L): 378.65 (152.56, 864.62) vs. 521.21 (205.93, 1 413.11), all P < 0.05]. Correlation analysis showed that D-lactate was significantly positively correlated with APACHE II score and SOFA score on day 0 and day 5 (R₁² = 0.367, P < 0.001; R₂² = 0.240, P = 0.012); I-FABP was significantly positively correlated with APACHE II score on day 0 (R² = 0.264, P = 0.004); D-lactate on day 5 and I-FABP on day 0 and day 5 were significantly negatively correlated with prognosis on day 28 (R₁² = -0.203, P = 0.022; R₂² = -0.208, P = 0.023; R₃² = -0.211, P = 0.021). The area under curve (AUC) analysis showed that D-lactate on day 5 and I-FABP on day 0 and day 5 had independent predictive value for 28-day prognosis, with AUC of 0.634, 0.638 and 0.652, P values of 0.023, 0.024 and 0.017, 95% confidence intervals (95%CI) of 0.533-0.734, 0.523-0.754 and 0.525-0.778, respectively. When the cut-off values were 7.71 mg/L, 593.55 ng/L and 468.10 ng/L, the sensitivity were 51.5%, 68.5% and 75.3%, and the specificity were 91.0%, 60.0% and 60.0%, respectively.

CONCLUSIONS

Serum D-lactate and I-FABP were increased significantly and decreased with the improvement of the condition, and these two molecular biomarkers have certain value in predicting the prognosis of ICU patients.

The interplay between thermodynamics and kinetics in the solid-state synthesis of layered oxides

In the synthesis of inorganic materials, reactions often yield non-equilibrium kinetic byproducts instead of the thermodynamic equilibrium phase. Understanding the competition between thermodynamics and kinetics is a fundamental step towards the rational synthesis of target materials. Here, we use in situ synchrotron X-ray diffraction to investigate the multistage crystallization pathways of the important two-layer (P2) sodium oxides Na_0.67MO₂ (M = Co, Mn). We observe a series of fast non-equilibrium phase transformations through metastable three-layer O3, O3' and P3 phases before formation of the equilibrium two-layer P2 polymorph. We present a theoretical framework to rationalize the observed phase progression, demonstrating that even though P2 is the equilibrium phase, compositionally unconstrained reactions between powder precursors favour the formation of non-equilibrium three-layered intermediates. These insights can guide the choice of precursors and parameters employed in the solid-state synthesis of ceramic materials, and constitutes a step forward in unravelling the complex interplay between thermodynamics and kinetics during materials synthesis.

First-Principles Algorithm for Air Quality Electrochemical Gas Sensors

We report here a simple approach that allows for rapid mapping of raw voltage readings to concentrations for parts-per-billion level air quality electrochemical sensors. The key step is the introduction of an auxiliary sensor and then covering it with a thin Nafion membrane, one that is well-known for its both highly efficient and selective permeation of water vapor. This sensor captures any signal that is induced by changes of relative humidity, and such a signal can then be used to rapidly correct for drifts of the main sensor which sees both the target gas and the ambient water vapor. The whole process is entirely based on first principles, preserves physical clarity, is very amenable for implementation by routine sensor users, and delivers data that compare favorably with those from reference instruments. We also suggest that this double-sensor setup can be further condensed into one sensor in which one of the electrodes is coated by Nafion and exposed to ambient air in the same way as the normal sensing electrode.

Analysis of wintertime O3 variability using a random forest model and high-frequency observations in Zhangjiakou-an area with background pollution level of the North China Plain

The short-term health effects of ozone (O₃) have highlighted the need for high-temporal-resolution O₃ observations to accurately assess human exposure to O₃. Here, we performed 20-s resolution observations of O₃ precursors and meteorological factors to train a random forest model capable of accurately predicting O₃ concentrations. Our model performed well with an average validated R² of 0.997. Unlike in typical linear model frameworks, variable dependencies are not clearly modelled by random forest model. Thus, we conducted additional studies to provide insight into the photochemical and atmospheric dynamic processes driving variations in O₃ concentrations. At nitrogen oxides (NO_x) concentrations of 10-20 ppb, all the other O₃ precursors were in states that increased the production of O₃. Over a short timescale, nitrogen dioxide (NO₂) can almost track each high-frequency variation in O₃. Meteorological factors play a more important role than O₃ precursors do in predicting O₃ concentrations at a high temporal resolution; however, individual meteorological factors are not sufficient to track every high-frequency change in O₃. Nevertheless, the sharp variations in O₃ related to flow dynamics are often accompanied by steep temperature changes. Our results suggest that high-temporal-resolution observations, both ground-based and vertical profiles, are necessary for the accurate assessment of human exposure to O₃ and the success and accountability of the emission control strategies for improving air quality.

[Effect of inhibiting the activity of double-stranded RNA-dependent protein kinase in sepsis mice]

Objective: To observe the effects of 2-aminopurine (2-AP), a double-stranded RNA-dependent protein kinase (PKR) inhibitor, on organ function, plasma inflammatory factor expression and 7 days mortality in sepsis mice induced by cecal ligation puncture (CLP). Methods: Forty specific specific pathogen free C57BL/6 mice were randomly divided into sham group (n=10), CLP group (n=10), CLP+2-AP group (n=10) and 2-AP group (n=10). CLP was used to establish sepsis mice models.Peripheral blood serum was collected 24 hours after operation, alanine aminotransferase (ALT), aspartate aminotransferase (AST), serum creatinine (Cr), blood urea nitrogen (BUN) and inflammatory factors (IL-1β, IL-10 and TNF-α) were detected; peripheral blood and peritoneal lavage fluid were taken for bacterial clearance detection. Another 60 C57BL/6 mice were selected to observe the 7-day survival rate according to the above groups (n=15). Independent sample t test was used to compare the measurement data between groups. Results: The levels of ALT, AST, Cr and BUN in CLP Group and CLP+2-AP group were significantly higher than those in sham group (all P<0.001). The levels of ALT and AST in CLP+2-AP group were significantly lower than those in CLP Group (t=27.88, 11.33, both P<0.001); the levels of Cr and BUN in CLP+2-AP group were significantly lower than those in CLP Group (t=11.02, 7.15, bothP<0.001). Compared with sham group, the levels of pro-inflammatory (IL-1β and TNF-α) and anti-inflammatory (IL-10) cytokines in CLP group were significantly higher (all P<0.001); the levels of IL-1β and IL-10 in CLP+2-AP group were significantly lower (all P<0.001), but the levels of TNF-α in CLP+2-AP group were not significantly lower (P=0.33). The 7-day survival rate was 100% in sham group, 13.3% in CLP+2-AP group, 86.7% in 2-AP group and 20.0% in CLP+2-AP group. Inhibition of PKR activation slightly improved the trend of 7-days survival rate of CLP model mice (analysis by mantel Cox test, χ(2)=0.0012, P=0.97). Conclusion: In sepsis mice model, inhibition of PKR activity can reduce the expression of inflammatory factors in plasma, decrease bacterial load in blood and abdominal cavity, and protect organ function, which could suggest that inhibition of PKR activity has potential application in sepsis treatment.

[Analysis of influencing factors of trough serum vancomycin concentrations in critically ill neurosurgical patients]

OBJECTIVE

To evaluate trough serum vancomycin concentrations and identify their influencing factors in critically ill neurosurgical patients.

METHODS

A retrospective study was conducted. Adult patients who received vancomycin with at least one appropriate monitoring of trough serum vancomycin concentration and admitted to neurosurgical intensive care unit (ICU) of the First Affiliated Hospital of Sun Yat-sen University from November 2017 to July 2019 were enrolled. General information including gender, age, comorbidities, etc., trough serum vancomycin concentrations, vancomycin dosage, duration of vancomycin therapy, urine output, serum creatinine (SCr), concurrent medications (including mannitol,diuretic, vasopressors, non-steroidal anti-inflammatory drugs, polymyxin, aminoglycosides and contrast medium, etc.) were collected for analysis. Trough serum vancomycin concentrations were evaluated and their influencing factors were analyzed by multiple linear regression method.

RESULTS

In total, 81 trough serum vancomycin concentration data sets obtained from 28 patients were evaluated. (1) The initial daily dose of vancomycin was 2.00 (2.00, 2.00) g/d. After 4-6 doses, the trough serum vancomycin concentration obtained from initial blood draw was 10.99 (6.98, 16.25) mg/L, of which only 17.9% (5/28) achieving targeted concentrations (15-20 mg/L), 71.4% (20/28) subtherapeutic level and 10.7% (3/28) supratherapeutic level. (2) The duration of vancomycin therapy was 8.0 (6.0, 15.0) days. With average daily dose of 2.00 (1.75, 3.00) g/d, targeted trough vancomycin concentrations were achieved in only 30.9% (25/81) of all cases, subtherapeutic concentrations in 49.4% (40/81) and supratherapeutic concentrations in 19.7% (16/81). (3) There were significant differences in age, comorbidities, vancomycin dosage, diuretics use and mannitol dosage, etc. among different vancomycin concentration groups. Multiple linear regression analysis suggested that the trough serum vancomycin concentration increased by 0.14 mg/L [95% confidence interval (95%CI) was 0.06-0.22] for every 1 year increase in age, increased by 7.22 mg/L (95%CI was 2.08-12.36) in patients with multiple comorbidities (concomitant hypertension, diabetes and coronary heart disease) compared with those without comorbidities, increased by 2.78 mg/L (95%CI was 0.20-5.35) in patients treated with diuretics compared with those without diuretics. The effect of other variables was not statistically significant. It suggested that age, multiple comorbidities (concomitant hypertension, diabetes and coronary heart disease), and diuretic usage affected trough serum vancomycin concentrations.

CONCLUSIONS

Targeted trough serum vancomycin level is not often achieved in neurosurgical ICU patients following standard dosing. Younger patients are associated with lower trough serum vancomycin concentrations, while diuretic usage, combined with multiple comorbidities are associated with higher trough serum vancomycin concentrations.

[Therapeutic monitoring of cerebrospinal fluid vancomycin concentrations and analysis of their influencing factors in neurosurgical intensive care unit patients]

OBJECTIVE

To evaluate cerebrospinal fluid (CSF) vancomycin concentrations and identify factors influencing CSF vancomycin concentrations in critically ill neurosurgical patients.

METHODS

A retrospective study was conducted. Adult patients who received vancomycin treatment and CSF vancomycin concentrations monitoring admitted to neurosurgical intensive care unit (ICU) of the First Affiliated Hospital of Sun Yat-sen University from January 2016 to June 2019 were enrolled. General information, vancomycin dosing regimens, CSF vancomycin concentrations, CSF drainage methods and volume of the previous day, and concurrent medications, etc. were collected for analysis. CSF vancomycin concentrations of patients with definite or indefinite central nervous system (CNS) infection, different vancomycin dosing regimens and their influencing factors were analyzed.

RESULTS

A total of 22 patients were included. 168 CSF specimens were collected for culture, 20 specimens of which were culture positive, with a positive rate of 11.9%. Sixty cases of CSF vancomycin concentration were obtained. Among the 22 patients, 7 patients (31.8%) were diagnosed with proven CNS infection, 11 patients (50.0%) clinically diagnosed, 2 patients (9.1%) diagnosed with uncertain CNS infection, and 2 patients (9.1%) diagnosed without CNS infection. Intravenous (IV) administration of vancomycin alone was used in 15 cases (25.0%), intrathecal injection in 17 cases (28.3%), IV+intrathecal injection in 23 cases (38.3%), and IV+intraventricular administration in 5 cases (8.3%). The CSF vancomycin concentrations ranged from < 0.24 to > 100 mg/L, with an average level of 14.40 (4.79, 42.34) mg/L. (1) Administration methods of vancomycin affected CSF vancomycin concentrations. The CSF vancomycin concentration with intrathecal injection or intraventricular administration was higher than that of IV administration alone [mg/L: 25.91 (11.28, 58.17) vs. 2.71 (0.54, 5.33), U = 42.000, P < 0.01]. (2) When vancomycin was administered by IV treatment alone, CSF vancomycin concentrations were low in both groups with definite CNS infection (proven+probable) and indefinite CNS infection (possible+non-infection), the CSF vancomycin concentrations of which were 4.14 (1.40, 6.36) mg/L and 1.27 (0.24, 3.33) mg/L respectively, with no significant difference (U = 11.000, P = 0.086). (3) CSF vancomycin concentrations rose with the increased dose of vancomycin delivered by intrathecal injection or intraventricular administration. According to the dose of vancomycin administered locally on the day before therapeutic drug monitoring (TDM), cases were divided into the following groups: 0-15 mg group (n = 22), 20-35 mg group (n = 33), and 40-50 mg group (n = 5), the CSF vancomycin concentrations of which were 4.14 (1.09, 8.45), 30.52 (14.31, 59.61) and 59.43 (25.51, 92.45) mg/L respectively, with significant difference (H = 33.399, P < 0.01). Moreover, the cases of CSF vancomycin concentration of ≥ 10 mg/L accounted for 18.2%, 84.8% and 100% of these three groups, respectively. CSF vancomycin concentrations mostly reached target level when dose of vancomycin administered locally were 20 mg/L or more.

CONCLUSIONS

It is difficult to reach target CSF vancomycin concentration for critically ill neurosurgical patients with or without CNS infection by IV treatment. Local administration is an effective treatment regimen to increase CSF vancomycin concentration.

[Elevated artery lactate after brain tumor craniotomy is associated with surgery duration and exogenous administration of corticosteroids]

OBJECTIVE

To study the influential factor of hyperlactatemia after the brain tumor craniotomy.

METHODS

Patients who underwent selective brain tumor (including glioma, meningioma and acoustic schwannoma) craniotomyin the neurosurgery intensive care unit (NSICU) of the First Affiliated Hospital, Sun Yat-sen University from December 1st 2018 to May 20th 2019 were enrolled. The incidence of hyperlactatemia after the brain tumor craniotomy was investigated. Univariate and multivariate linear regression analysis were performed to identify the association of initial artery lactate with the operation duration, the intraoperative blood loss, the total intraoperative fluid infusion, intraoperative ringer lactate fluid infusion, intraoperative urine volume, intraoperative fluid balance, the total intraoperative corticosteroids dosage and the tumor type. Pearson method was used to analyze the correlation between lactate in arterial blood and independent related factors.

RESULTS

A total of 148 patients were enrolled including 45 patients (30.41%) with glioma, 64 patients (43.24%) with meningioma, and 39 patients (26.35%) with acoustic schwannoma. The initial lactate level in arterial blood increased significantly in 148 patients, with a median of 4.80 (3.68, 5.90) mmol/L. Among them, 78 patients (52.70%) had mild elevation of lactate in arterial blood (2 mmol/L < lactate ≤ 5 mmol/L), 61 patients (41.22%) had significant elevation of lactate in arterial blood (5 mmol/L < lactate ≤ 10 mmol/L), and 2 patients (1.35%) had serious elevation of artery lactate (> 10 mmol/L). And only 7 patients (4.73%) had normal level of lactate in arterial blood (≤ 2 mmol/L). Univariate analysis showed that initial postoperative artery lactate was positively correlated with the operation duration [β = 0.556, 95% confidence interval (95%CI) was 0.257-0.855, P < 0.001] and the total intraoperative corticosteroids dosage (β = 0.477, 95%CI was 0.174-0.779, P = 0.002). There was no significant correlation between the initial postoperative artery lactate and tumor types, the intraoperative blood loss, the total fluid infusion, the ringer lactate fluid infusion, urine volume, and the fluid balance. Further multivariate linear regression analysis showed that the operation duration (β = 0.499, 95%CI was 0.204-0.795, P = 0.001) and the total intraoperative corticosteroids dosage (β = 0.407, 95%CI was 0.111-0.703, P = 0.008) were independent risk factors affecting the initial postoperative artery lactate. The correlation analysis showed that there was a significant positive correlation between lactate in arterial blood and operation time and total hormone dosage during operation (r₁ = 0.289, r₂ = 0.248, both P < 0.01).

CONCLUSIONS

Initial artery lactate after brain tumor craniotomy is associated with surgery duration and exogenous administration of corticosteroids.