Nitrogen-cycling processes under long-term compound heavy metal(loids) pressure around a gold mine: Stimulation of nitrite reduction.

Mining and tailings deposition can cause serious heavy metal(loids) pollution to the surrounding soil environment. Soil microorganisms adapt their metabolism to such conditions, driving alterations in soil function. This study aims to elucidate the response patterns of nitrogen-cycling microorganisms under long-term heavy metal(loids) exposure. The results showed that the diversity and abundance of nitrogen-cycling microorganisms showed negative feedback to heavy metal(loids) concentrations. Denitrifying microorganisms were shown to be the dominant microorganisms with over 60% of relative abundance and a complex community structure including 27 phyla. Further, the key bacterial species in the denitrification process were calculated using a random forest model, where the top three key species (Pseudomonas stutzei, Sphingobium japonicum and Leifsonia rubra) were found to play a prominent role in nitrite reduction. Functional gene analysis and qPCR revealed that nirK, which is involved in nitrite reduction, significantly accumulated in the most metal-rich soil with the increase of absolute abundance of 63.86%. The experimental results confirmed that the activity of nitrite reductase (Nir) encoded by nirK in the soil was increased at high concentrations of heavy metal(loids). Partial least squares-path model identified three potential modes of nitrite reduction processes being stimulated by heavy metal(loids), the most prominent of which contributed to enhanced nirK abundance and soil Nir activity through positive stimulation of key species. The results provide new insights and preliminary evidence on the stimulation of nitrite reduction processes by heavy metal(loids).

Varying Effect of AF Ablation in Patients with HFpEF according to CHA2DS2-VASc score.

BACKGROUND: The impact of comorbidity burden on outcomes of radiofrequency catheter ablation (RFCA) for atrial fibrillation (AF) in patients with heart failure and preserved ejection fraction (HFpEF) remains unclear. OBJECTIVE: To evaluate how comorbidity burden influences the association between RFCA and cardiovascular outcomes in AF patients with HFpEF. METHODS: AF patients with HFpEF from the prospective China-AF cohort, recruited between August 2011 and December 2020, were categorized into two groups based CHA2DS2-VASc score: low comorbidity burden (score ≤ 4) and high comorbidity burden (score > 4). The associations between RFCA and cardiovascular outcomes and interaction effects of comorbidity burden on these associations were assessed. RESULTS: Among 1,700 patients with a median follow-up of 65.9 months, those in the low comorbidity burden group who received RFCA had a lower risk of composite events (cardiovascular death and ischemic stroke/TIA) [adjusted hazard ratio (aHR): 0.35, 95% CI, 0.21-0.59] and all-cause death [aHR: 0.31, 95% CI, 0.17-0.54] compared to those without RFCA. However, significant associations were not observed in the high comorbidity burden group. The differences between low and high comorbidity burden groups were significant, with interaction effects noted between comorbidity burden and RFCA for cardiovascular death (Pinteraction=0.045) and ischemic stroke/TIA (Pinteraction=0.010). RFCA was associated with a reduced risk of AF recurrence in both comorbidity burden groups. CONCLUSION: RFCA for AF is associated with reduced AF recurrence and improved cardiovascular outcomes in patients with HFpEF. However, these benefits may be limited for patients with a CHA2DS2-VASc score > 4 (high comorbidity burden).

An Intelligent Intestine-on-a-Chip for Rapid Screening of Probiotics with Relief-Enteritis Function.

Screening probiotics with specific functions is essential for advancing probiotic research. Current screening methods primarily use animal studies or clinical trials, which are inefficient and costly in terms of time, money, and labor. An intelligent intestine-on-a-chip integrating machine learning (ML) is developed to screen relief-enteritis functional probiotics. A high-throughput microfluidic chip combined with environment control systems provides a standardized and scalable intestinal microenvironment for multiple probiotic cocultures. An unsupervised ML-based score analyzer is constructed to accurately, comprehensively, and efficiently evaluate interactions between 12 Bifidobacterium strains and host cells of the colitis model in the intestine-on-a-chips. The most effective contender, Bifidobacterium longum 3-14, is discovered to relieve intestinal inflammation and enhance epithelial barrier function in vitro and in vivo. A distinct advantage of this strategy is that it can intelligently differentiate small therapeutic variations in probiotic strains and prioritize their efficacies, allowing for economical, efficient, accurate functional probiotics screening.

Characterization of the Metabolic Proteome of Serum From Patients With Diabetic Distal Symmetric Polyneuropathy.

AIMS: The pathophysiological of diabetic distal symmetric polyneuropathy (DSPN) remains to be elucidated and there are no diagnostic or prognostic biomarkers for the condition. In this explorative proteomic study, metabolic proteome profiling of serum in patients with/without DSPN was analyzed. We aimed to discover proteins with different abundance ranges through proximity extension assay (PEA) technology. METHODS: Temperature quantitative sensory testing (QST) and electromyography (EMG) were used to access the small- and large-fiber function of all participants, respectively. The metabolic proteome profile of serum was analyzed using PEA technology (Olink Target 96 METABOLISM panel). RESULTS: We evaluated serum from patients without DSPN (n = 27), with small-fiber neuropathy (SFN, n = 25) and with mixed small- and large-fiber neuropathy (MSLFN, n = 24). Fifteen proteins, which were especially related to immune response, insulin resistance, and lipid metabolism, were significantly different between patients without DSPN and with MSLFN. Besides, seven proteins, especially related to extracellular structure organization, were significantly different between serum from patients with SFN and with MSLFN. What's more, serum from patients without DSPN showed that three proteins, related to immune response, altered significantly compared to serum from patients with SFN. CONCLUSIONS: This was the first study that characterized the metabolic proteomic profile of serum in DSPN patients by analyzing a panel of 92 metabolic proteins using PEA technology.

Electrolyte Additive Molecule Disassembly to Reveal the Roles of Individual Groups in Zn Electrode Stabilities in Aqueous Batteries.

Zn metal anodes experience dendritic growth and hydrogen evolution reactions (HER) in aqueous batteries. Herein, we propose an interface regulation strategy with a trace (1.4 × 10-4 mol kg-1) all-in-one epicatechin (EC) electrolyte additive to solve the above issues and reveal the roles of individual functional groups. By the disassembly of EC into simple molecules combined with entire molecule investigations, we show that phenol and ether sites preferentially anchor on the Zn surface, while the hydroxyl group pointing outward enters Zn2+ solvation shells at the interface. It modifies the following desolvation path, which not only enables uniform deposition with the thermodynamically favored plate morphology but also inhibits HER. With these synergistic effects of trace EC additive, the lifespan of symmetric cells extends to 8.5 times that of the baseline ZnSO4 electrolyte. The capacity retention of Zn//MnO2 full batteries with N/P = 3 also increases from 59.1 to 85.6% after 500 cycles.

Diatomic Catalysts for Aqueous Zinc-Iodine Batteries: Mechanistic Insights and Design Strategies.

There has been a growing interest in developing catalysts to enable the reversible iodine conversion reaction for high-performance aqueous zinc-iodine batteries (AZIBs). While diatomic catalysts (DACs) have demonstrated superior performance in various catalytic reactions due to their ability to facilitate synergistic charge interactions, their application in AZIBs remains unexplored. Herein, we present, for the first time, a DAC comprising Mn-Zn dual atoms anchored on a nitrogen-doped carbon matrix (MnZn-NC) for iodine loading, resulting in a high-performance AZIB with a capacity of 224 mAh g-1 at 1 A g-1 and remarkable cycling stability over 320,000 cycles. The electron hopping along the Mn-N-Zn bridge is stimulated via a spin exchange mechanism. This process broadens the Mn 3dxy band width and enhances the metallic character of the catalyst, thus facilitating charge transfer between the catalysts and reaction intermediates. Additionally, the increased electron occupancy within the d-orbital of Zn elevates Zn's d-band center, thereby enhancing chemical interactions between MnZn-NC and I-based species. Furthermore, our mechanism demonstrates potential applicability to other Metal-Zn-NC DACs with spin-polarized atoms. Our work elucidates a clear mechanistic understanding of diatomic catalysts and provides new insights into catalyst design for AZIBs.

Nanomaterial-Encapsulated dsRNA-Targeting Chitin Pathway─A Potential Efficient and Eco-Friendly Strategy against Cotton Aphid, Aphis gossypii (Hemiptera: Aphididae).

The r-strategy pests are very challenging to effectively control because of their rapid population growth and strong resurgence potential and are more prone to developing pesticide resistance. As a typical r-strategy pest, the cosmopolitan cotton aphid, Aphis gossypii Glover, seriously impacts the growth and production of cucurbits and cotton. The present study developed a SPc/double-stranded RNA (dsRNA)/botanical strategy to enhance the control efficacy of A. gossypii. The results demonstrated that the expression of two chitin pathway genes AgCHS2 and AgHK2 notably changed in A. gossypii after treated by three botanical pesticides, 1% azadirachtin, 1% matrine, and 5% eucalyptol. SPc nanocarrier could significantly enhance the environmental stability, cuticle penetration, and interference efficiency of dsRNA products. The SPc/dsRNA/botanical complex could obviously increase the mortality of A. gossypii in both laboratory and greenhouse conditions. This study provides an eco-friendly control technique for enhanced mortality of A. gossypii and lower application of chemical pesticides. Given the conservative feature of chitin pathway genes, this strategy would also shed light on the promotion of management strategies against other r-strategy pests using dsRNA/botanical complex nanopesticides.

Lung immune prognostic index is associated with clinical outcomes in recurrent or metastatic (R/M) nasopharyngeal carcinoma receiving immunotherapy: Results from the multicenter, single-arm, phase 2 study.

BACKGROUND: Immune-related biomarkers are linked to the outcomes of cancer immunotherapy. This study evaluates the baseline and longitudinal association between the lung immune prognostic index (LIPI) and immune checkpoint inhibitor outcomes in previously treated recurrent or metastatic (R/M) nasopharyngeal carcinoma (NPC) patients. METHODS: Data from 153 R/M NPC patients (median age = 49.00 years old) enrolled in a multicenter, single-arm, phase 2 study (NCT03848286) were analyzed. Pretreatment LIPI was classified into good and intermediate/poor (inter/poor) groups. Longitudinal LIPI variations were categorized into "Stable good", "Trend to increase", "Trend to decrease", and "Stable inter/poor". Primary and secondary outcomes were overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR). RESULTS: Pretreatment LIPI was significantly associated with OS (inter/poor vs. good: HR = 2.54, 95 % CI: 1.60-4.04, P < 0.001), PFS [inter/poor vs. good: hazard ratio (HR) = 2.18, 95 % CI: 1.47-3.23, P < 0.001], and DCR [inter/poor vs. good: odd ratio (OR) = 0.26, 95 % CI: 0.12-0.58, P < 0.001)]. Patients with persistently inter/poor LIPI status showed worse OS (HR = 3.25, 95 % CI: 1.84-5.74, P < 0.001), PFS (HR = 2.96, 95 % CI: 1.85-4.74, P < 0.001), and ORR (OR = 0.21, 95 % CI: 0.08-0.56, P < 0.001) compared to the persistently good subgroup. CONCLUSION: Pretreatment LIPI and its longitudinal variations may serve as potential biomarkers for predicting immune checkpoint inhibitor outcomes in R/M NPC patients.

Scinderin is a potential prognostic biomarker and correlated with immunological regulation: from pan-cancer analysis to liver hepatocellular carcinoma.

Aim: This study aimed to systematically dissect the role of Scinderin (SCIN) in tumorigenesis. Methods: Bioinformatics techniques were employed based on cancer data from TCGA, ENCORI, HPA, GEPIA2, UALCAN, Kaplan-Meier plotter, TIMER, TISIDB, cBioPortal, HCCDB, GeneMANIA and LinkedOmics database. Experiments in vitro and in vivo were conducted to dissect the role of SCIN in liver hepatocellular carcinoma (LIHC). Results: Significantly differential expression of SCIN was found in nine types of cancers, including LIHC. Through pan-cancer analysis, the correlations between SCIN expression with prognosis and immune cell infiltration were proven, especially in LIHC, ovarian serous cystadenocarcinoma and lung adenocarcinoma. The highest frequency of alteration in SCIN (6.81%) was seen in patients with uterine corpus endometrial carcinoma, in which "mutation" was the predominant type, with a frequency of about 5.29%; meanwhile, S673F and S381Y were the two most frequent mutation sites. Furthermore, the abnormal expression of SCIN exhibited a strong relationship with immune cell subtypes, immune checkpoint genes, tumor mutation burden, microsatellite instability, neoantigen, molecular subtypes, mismatch repair signatures and DNA methyl-transferase in different cancer types. Through comparative analysis, we discovered that SCIN was dramatically up-regulated in LIHC, and associated with poor survival. Experiments in vitro and in vivo suggested the knockdown of SCIN could suppress tumor cell proliferation and improve the survival rate partly in animal models. Conclusion: This study reveals SCIN may be a promising biomarker for prognosis and treatment in certain cancers, especially in LIHC.

Effect of infarct location and volume on cognitive dysfunction in elderly patients with acute insular cerebral infarction.

BACKGROUND: The aging of the population has become increasingly obvious in recent years, and the incidence of cerebral infarction has shown an increasing trend annually, with high death and disability rates. AIM: To analyze the effects of infarct location and volume on cognitive dysfunction in elderly patients with acute insular cerebral infarction. METHODS: Between January 2020 and December 2023, we treated 98 cases of elderly acute insula, patients with cerebral infarction in the cerebral infarction acute phase (3-4 weeks) and for the course of 6 months in Montreal Cognitive Assessment Scale (MoCA) for screening of cognition. Notably, 58 and 40 patients were placed in the cognitive impairment group and without-cognitive impairment group, respectively. In patients with cerebral infarction, magnetic resonance imaging was used to screen and clearly analyze the MoCA scores of two groups of patients with different infarctions, the relationship between the parts of the infarction volume, and analysis of acute insula cognitive disorder in elderly patients with cerebral infarction and the relationship between the two. RESULTS: The number of patients with cognitive impairment in the basal ganglia and thalamus was significantly higher than that without cognitive impairment (P < 0.05). The total infarct volume in the cognitive impairment group was higher than that in the non-cognitive impairment group, and the difference was statistically significant (P < 0.05). The infarct volumes at different sites in the cognitive impairment group was higher than in the non-cognitive impairment group (P < 0.05). In the cognitive impairment group, the infarct volumes in the basal ganglia, thalamus, and mixed lesions were negatively correlated with the total MoCA score, with correlation coefficients of -0.67, -0.73, and -0.77, respectively. CONCLUSION: In elderly patients with acute insular infarction, infarction in the basal ganglia, thalamus, and mixed lesions were more likely to lead to cognitive dysfunction than in other areas, and patients with large infarct volumes were more likely to develop cognitive dysfunction. The infarct volume in the basal ganglia, thalamus, and mixed lesions was significantly negatively correlated with the MoCA score.

Determination of Free Glycidol and Total Free Monochloropropanediol in Fish and Krill Oil with Simple Aqueous Derivatization and High-Performance Liquid Chromatography-Tandem Mass Spectrometry.

This study introduces a novel method for detecting free glycidol and total free monochloropropanediol (MCPD) in fish and krill oil. Before analysis on high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS), p-(dimethylamino)phenol was used for derivatization of these compounds, enabling the sensitive determination of these contaminants. The sample preparation procedure includes a simple, efficient pretreatment using NaCl aqueous solution extraction and C18 sorbent cleanup (for demulsification), distinguishing glycidol from MCPD under varied reaction conditions for derivatization (weak acidic and strong alkaline aqueous environments). This approach shows broad linearity from 1 to at least 256 ng·mL-1, improved sensitivity compared to standard GC-MS methods, with the limit of detection (LOD) and limit of quantification (LOQ) for MCPD and glycidol in both oil samples verified at 0.5 ng·mL-1 and 1 ng·mL-1, respectively. Different from previous HPLC-MS methods for direct detection of glycidol esters or MCPD esters, this is the first HPLC-MS method used for the detection of free glycidol and total free MCPD in edible oil. Furthermore, this method can be potentially developed for glycidol or monochloropropane diol esters, which is similar to the current official methods adopted for indirect detection of these contaminants in different food matrices. Application of this detection method to real dietary supplements (fish oil and krill oil) revealed MCPD residues in fish oil (maximum detected: 32.78 ng·mL-1) and both MCPD (maximum detected: 2767.3 ng·mL-1) and glycidol (maximum detected: 22.2 ng·mL-1) in krill oil, emphasizing its effectiveness and accuracy for assessing contamination in these supplements.

Yellow Sticky Cards Reduce the Numbers of Trichogramma dendrolimi (Hymenoptera: Trichogrammatidae) Following Augmentative Releases against the Fruit Borers Carposina sasakii (Lepidoptera: Carposinidae) and Grapholita molesta (Lepidoptera: Tortricidae) in a Pear Orchard.

Integrated pest management relies upon mutual compatibility among pest control tactics. The fruit-boring moths Carposina sasakii and Grapholita molesta can be devastating pests of pome and stone fruit production. Trichogramma dendrolimi parasitizes the eggs of these pests, preventing their eclosion, but its efficacy can be reduced by other pest control tactics. We tested T. dendrolimi attraction to five colors, and moth attraction to six colors, in laboratory choice tests, and thereafter deployed yellow sticky cards in tandem with releases of T. dendrolimi in field trials in a pear orchard. Yellow sticky cards deployed at high density trapped T. dendrolimi and reduced their numbers post-release. They also trapped adult G. molesta, which appeared to compensate for reduced egg parasitism on this species, but not on C. sasakii, which had higher abundance in plots with yellow sticky cards. The cards also captured adult lacewings, likely reducing their numbers in the field, but did not capture large numbers of lady beetles. The results suggest that yellow sticky cards can be used at high density to control aphids, psyllids and leafhoppers in early spring (March and April) when natural enemies are in low numbers, then removed in May so as not to interfere with augmentative releases of T. dendrolimi that must be timed to coincide with peak flights of fruit-boring moths. This strategy should enhance the compatibility of yellow sticky cards with egg parasitoid releases.

Nanoparticle-mediated calmodulin dsRNA and cyantraniliprole co-delivery system: High-efficient control of two key pear pests while ensuring safety for natural enemy insects.

Currently, the predominant method for managing pests in orchards is chemical control. However, prolonged use of chemicals leads to resistance issues and raise ecological safety. A promising approach to tackle these challenges involves nanoparticles-mediated delivery system of dsRNA and pesticides. Despite its potential, this strategy has not been widely applied in controlling pests in pear orchards. In this study, we developed a nanoparticle-mediated ternary biopesticide to tackle resistance and safety concerns associated with calmodulin dsRNA and cyantraniliprole. Initially, we assessed the effectiveness of cyantraniliprole against two key pear pests, Grapholita molesta and Cacopsylla chinensis. Subsequently, we observed an upregualtion of genes CaM and CN following cyantraniliprole treatment. Furthermore, inhibiting or silencing GmCaM and CcGaM enhanced the sensitivity to cyantraniliprole more effectively. By introducing hairpin RNA into the pET30a-BL21 RNaseIII- system to silence GmCaM and CcCaM, we developed a nanoparticle-mediated co-delivery system that exhibited improved control over these two pests. Importantly, our research demonstrated that using reduced cyantraniliprole dosages through ternary biopesticides could help mitigate risks to natural enemies. Overall, our research emphasizes the enhanced effectiveness of ternary biopesticides in boosting the performance of dsRNA and pesticide against pear pests, while fostering environmental sustainability-a novel advancement in this field.

Associations between Patient-Generated Subjective Global Assessment criteria and all-cause mortality among cancer patients: Evidence from baseline and longitudinal analyses.

OBJECTIVES: The prognostic effects of the Patient-Generated Subjective Global Assessment (PG-SGA) criteria in cancer survivors have been observed but require validation in clinical practice. This study was designed to evaluate the prognostic effects of baseline and longitudinal changes in PG-SGA scores on all-cause mortality among Chinese cancer patients in a real-world setting. METHODS: Study patients were selected from one representative tertiary hospital in West China. Kaplan-Meier curves and Cox regression analyses were used to estimate the prognostic effect of baseline and dynamic changes in PG-SGA scores on the all-cause mortality of cancer patients. Receiver operating characteristic curves and a concordance index were used to evaluate the predictive accuracy of PG-SGA criteria. RESULTS: A total of 1415 cancer patients were included in this study, with a mean age of 46 years old. Cox regression analysis showed that baseline malnourished status was significantly associated with the survival of cancer patients (PG-SGA 4-8: hazard ratio [HR] = 1.46, 95% confidence interval [CI]: 1.09-1.96, P = 0.012; PG-SGA ≥9: HR = 1.78, 95% CI: 1.34-2.37, P < 0.001). Cancer patients with longitudinal increased PG-SGA scores (>2 points) were observed to have high risks for mortality (HR = 1.69, 95% CI: 1.04-2.74, P = 0.033). Compared with longitudinal changes in PG-SGA scores, baseline malnourished status showed higher predictive power in identifying the risk subgroup (concordance index: 0.646 vs. 0.586). Sensitivity analyses supported the main findings. CONCLUSIONS: This study highlights the prognostic value of baseline and dynamic changes in PG-SGA scores for cancer patients, which can help improve their outcomes.

Intergenerational Sublethal Effects of Flonicamid on Cotton Aphid, Aphis gossypii: An Age-Stage, Two-Sex Life Table Study.

Flonicamid is a novel systemic insecticide widely used against aphids. However, the intergenerational sublethal effects of flonicamid on cotton aphid, Aphis gossypii, have not been fully studied. This study aimed to evaluate the sublethal effects of flonicamid on the biological parameters of adult A. gossypii (F0) and its subsequent intergenerational effects on the offspring (F1 generation) through age-stage, two-sex life table analysis. The results of the bioassays indicate that flonicamid exhibits significant toxicity toward adult A. gossypii, as evidenced by an LC50 value of 0.372 mg L-1 after a 48-h exposure period. The longevity, fecundity, and reproductive days of adult cotton aphids (F0) were significantly decreased when treated with the sublethal concentrations of flonicamid. The pre-adult stage exhibited an increase, whereas the adult longevity, total longevity, and fecundity experienced a notable decrease in F1 aphids after the exposure of F0 aphids to sublethal concentrations of flonicamid. Furthermore, the key demographic parameters, including r, λ, R0, and RPd, showed a significant decrease, while the total pre-reproductive period (TPRP) experienced a significant increase in the F1 generation. Collectively, our findings indicate that sublethal concentrations of flonicamid impact the demographic parameters of A. gossypii, resulting in suppression of population growth. This study presents comprehensive information on the overall impact of flonicamid on A. gossypii, which could potentially aid in managing this major pest.

[Advances in mechanisms of biofilm formation and drug resistance of Staphylococcus aureus].

Staphylococcus aureus is a common pathogenic bacterium. However, due to the abuse of antibiotics, multiple drug-resistant S. aureus (DR S. aureus) has emerged in a large number, which seriously threatens human health. DR S. aureus usually forms biofilms by attaching on contact surfaces and secreting macromolecules including polysaccharides, proteins, and lipids, thus encasing themselves in a self-generated polymeric matrix. A biofilm provides an efficacious barrier that protects bacteria from detrimental environmental factors. Simultaneously, it protects DR S. aureus from the host immune system and attenuates the penetration and killing effects of drugs, serving as a key structure for the development of drug resistance. Therefore, gaining an in-depth understanding of the DR S. aureus biofilm is crucial for treating related infectious diseases. In this paper, we summarize recent research progress in the biofilm formation mechanism, drug resistance mechanism, and measures for inhibition and clearance of DR S. aureus and provide an outlook on the future research directions.

Supplementary sugars enhance the production efficiency and parasitism performance of the egg parasitoid Trichogramma dendrolimi (Hymenoptera: Trichogrammatidae).

Trichogramma spp. wasps are egg parasitoids with a long history of mass rearing for augmentation biocontrol programs in field crop and orchard landscapes. Supplementary nutrition can improve the longevity, fecundity, and biocontrol efficacy of parasitoids. To improve the production efficiency and parasitism performance of Trichogramma dendrolimi Matsumura (Hymenoptera: Trichogrammatidae), the present study screened and examined the potential supplementary nutrients for this biological control agent. Dietary supplementation with a 10% sucrose solution significantly increased wasp longevity and parasitism potential of T. dendrolimi on host eggs, but provision of pollen did not provide additional benefits. Laboratory and greenhouse cage tests demonstrated that wasp access to soybean aphid Aphis glycines Matsumura (Hemiptera: Aphididae) honeydew, comprised primarily of melezitose and trehalose, improved T. dendrolimi longevity and parasitism. In conclusion, provision of a 10% sucrose solution to adult wasps will enhance the mass-rearing efficiency of T. dendrolimi; furthermore, field release of T. dendrolimi by plant vectors bearing honeydew-producing aphids holds promise for improving the biocontrol efficacy of T. dendrolimi.

Exploration for the Priority of HIV Intervention: Modelling Health Impact and Cost-Effectiveness - Six Cities, Eastern China, 2019-2028.

Introduction: In order to enhance the effectiveness of resource allocation, regions must tailor their responses to their specific epidemiological and economic situations. Methods: Utilizing Spectrum software, we projected the cost-effectiveness of 10 chosen HIV interventions in six cities in eastern China from 2019 to 2028. We assessed three scenarios - Base, Achievable, and Idealized - for each city. The analysis included the projected number of HIV infections and deaths averted, as well as the incremental cost-effectiveness ratios for each intervention in the six cities. Results: In Shijiazhuang, Wuxi, Yantai, and Zhenjiang, cities with initially low antiretroviral therapy (ART) coverage, ART showed significant effectiveness, especially for males. Conversely, in Foshan and Ningbo, where ART coverage was notably high, oral pre-exposure prophylaxis (PrEP) for men who have sex with men (MSM) proved effective in the Idealized scenario. MSM outreach, ART for males, and ART for females demonstrated cost-effectiveness across all six cities in both Achievable and Idealized scenarios at the predefined thresholds for each city. Discussion: Maintaining an appropriate coverage rate for outreach to MSM can lead to cost-effectiveness. In cities with low ART coverage, scaling up ART remains a crucial intervention. In regions with high ART coverage, consideration may be given to the utilization of oral PrEP for MSM individuals, requiring budget allocation.

Spatiotemporal constrained RNA-protein heterogeneous network for protein complex identification.

The identification of protein complexes from protein interaction networks is crucial in the understanding of protein function, cellular processes and disease mechanisms. Existing methods commonly rely on the assumption that protein interaction networks are highly reliable, yet in reality, there is considerable noise in the data. In addition, these methods fail to account for the regulatory roles of biomolecules during the formation of protein complexes, which is crucial for understanding the generation of protein interactions. To this end, we propose a SpatioTemporal constrained RNA-protein heterogeneous network for Protein Complex Identification (STRPCI). STRPCI first constructs a multiplex heterogeneous protein information network to capture deep semantic information by extracting spatiotemporal interaction patterns. Then, it utilizes a dual-view aggregator to aggregate heterogeneous neighbor information from different layers. Finally, through contrastive learning, STRPCI collaboratively optimizes the protein embedding representations under different spatiotemporal interaction patterns. Based on the protein embedding similarity, STRPCI reweights the protein interaction network and identifies protein complexes with core-attachment strategy. By considering the spatiotemporal constraints and biomolecular regulatory factors of protein interactions, STRPCI measures the tightness of interactions, thus mitigating the impact of noisy data on complex identification. Evaluation results on four real PPI networks demonstrate the effectiveness and strong biological significance of STRPCI. The source code implementation of STRPCI is available from https://github.com/LI-jasm/STRPCI.