53BP1 loss elicits cGAS-STING-dependent antitumor immunity in ovarian and pancreatic cancer.

53BP1 nucleates the anti-end resection machinery at DNA double-strand breaks, thereby countering BRCA1 activity. Loss of 53BP1 leads to DNA end processing and homologous recombination in BRCA1-deficient cells. Consequently, BRCA1-mutant tumors, typically sensitive to PARP inhibitors (PARPi), become resistant in the absence of 53BP1. Here, we demonstrate that the 'leaky' DNA end resection in the absence of 53BP1 results in increased micronuclei and cytoplasmic double-stranded DNA, leading to activation of the cGAS-STING pathway and pro-inflammatory signaling. This enhances CD8+ T cell infiltration, activates macrophages and natural killer cells, and impedes tumor growth. Loss of 53BP1 correlates with a response to immune checkpoint blockade (ICB) and improved overall survival. Immunohistochemical assessment of 53BP1 in two malignancies, high grade serous ovarian cancer and pancreatic ductal adenocarcinoma, which are refractory to ICBs, reveals that lower 53BP1 levels correlate with an increased adaptive and innate immune response. Finally, BRCA1-deficient tumors that develop resistance to PARPi due to the loss of 53BP1 are susceptible to ICB. Therefore, we conclude that 53BP1 is critical for tumor immunogenicity and underpins the response to ICB. Our results support including 53BP1 expression as an exploratory biomarker in ICB trials for malignancies typically refractory to immunotherapy.

A predictive model for classifying college students' academic performance based on visual-spatial skills.

As the application of visual-spatial skills in academic disciplines, vocational fields and daily life is becoming more and more prominent, it is of great theoretical and practical significance how to make use of big data and artificial intelligence technology to conduct research on the relationship between visual-spatial skills and students' grades. This paper explores and analyses from the perspective of artificial intelligence, combining students' visual-spatial skills and students' specific attribute characteristics to construct an expert system, which defines the prediction of academic performance as a classification problem corresponding to the five categories of excellent, good, moderate, passing, and weak, respectively, and based on which a deep neural network-based classification prediction model for students' performance is designed. The experimental results show that visual-spatial skills plays an important role in the professional learning of science and engineering students, while the classification model designed in this paper has high accuracy in the grade prediction process. This paper not only helps to fill the gaps in the current research field, but is also expected to provide scientific basis for educational practice and promote the development of the education field in a more intelligent and personalized direction.

Elucidation of the anti-fibrotic diseases mechanism of chelerythrine by integrative approach of network pharmacology and experimental verification.

In the present study, we conducted an integrative approach of network pharmacology and experimental validation study to elucidate the underlying mechanisms of Chelerythrine (CLT), in treating fibrotic diseases (FD), which are disorders characterised by excessive accumulation of extracellular matrix. 27 common targets of CLT against FD were analysed, and these common targets were used to construct the PPI network. The results of GO and KEGG enrichment analyses suggested that CLT exerted pharmacological effects on FD by regulating mTOR signalling pathway, AKT-PI3K pathway and apoptosis signalling pathway. Finally, molecular docking confirmed a strong binding affinity between CLT and the core target proteins. CLT has inhibitory effects on the proliferation and migration of L929 cells, CLT could promote cell apoptosis. CLT decreased levels of the Bcl-2, p-AKT/AKT, p-mTOR/mTOR and p-PI3K/PI3K, meanwhile increased levels of the Bax. Taken together, these results indicate that CLT may be a potential drug for anti-fibrotic diseases therapy.

Versatile Thermo-Sensitive liposomes with HSP inhibition and Anti-Inflammation for synergistic Chemo-Photothermal to inhibit breast cancer metastasis.

Photothermal therapy (PTT) is a prospective therapeutic method for breast cancer. However, excess inflammatory response induced by PTT may aggravate tumor metastasis. Meanwhile, the overexpressed heat shock proteins (HSPs) by cancer cells can protect them from hyperthermia during PTT. Therefore, to attenuate the PTT-induced inflammation and inhibit tumor metastasis, a folate receptor-targeted thermo-sensitive liposome (BI-FA-LP) co-loading Berberine (BBR) and Indocyanine green (ICG) was developed. BI-FA-LP utilized enhanced permeability and retention (EPR) effect and FA receptor-mediated endocytosis to selectively accumulate at tumor, reducing off-target toxicity during the treatment. After targeting to the tumor site, BBR and ICG were released from BI-FA-LP upon laser irradiation, and ICG showed good photothermal performance, while BBR inhibited HSP70 and HSP90 expression during PTT, exerting chemo-photothermal synergetic anti-tumor effect. Moreover, BBR could suppress the PTT induced inflammation, thus inhibiting tumor metastasis and ameliorating tissue injury. Thus, this versatile liposome provided a new strategy to enhance PTT and anti-inflammatory effects for breast cancer treatment.

Exosomal miR-15a-5p from cardiomyocytes promotes myocardial fibrosis.

The emergence of myofibroblasts is a key step in myocardial fibrosis, but the trigger for the transformation of cardiac fibroblasts into myofibroblasts remains not entirely clear. Exosomes play a key role between cardiomyocytes and cardiac fibroblasts. Here, we not only investigated the relationship between exosomes derived from angiotensin (Ang)-II-treated cardiomyocytes and cardiac fibroblasts, the underlying mechanisms were also explored. Ang-II-treated C57 male mice and mouse cardiac fibroblasts were employed for in vivo and in vitro experiments, respectively. Transmission electron microscopy nanoparticle tracking analysis, and western blot of CD9, CD63, CD81 were performed to identify exosomes; QRT-PCR was performed to detect miR-15a-5p expression; luciferase reporter assay was employed to determine the interaction between miR-15a-5p and dyrk2; western blot was performed to examine the protein levels of fibrosis markers; Counting Kit-8 was performed to determine cell viability; HE and Masson staining were performed to assess the pathological changes of myocardial tissues. MiR-15a-5p expression was found up-regulated in serum of myocardial fibrosis patients, serum and myocardial tissues of Ang-II-treated mice, and Ang-II-treated cardiomyocytes. Mechanically, exosomes from Ang-II-treated cardiomyocytes shuttled miR-15a-5p to cardiac fibroblasts, where miR-15a-5p dephosphorylated NFAT by targeting dyrk2 to promote cell viability and elevated the protein levels of α-smooth muscle actin, collagen type 1 α1 and collagen type 3 α1, thus promoting myocardial fibrosis. This study identified a novel molecular target for anti-fibrotic therapeutic interventions.

Human activities-impacted lake dissolved organic matter (DOM) affects phycosphere microbial diversity and DOM diversification via carbon metabolism.

Photosynthetic carbon sequestration and microbial carbon metabolism are major processes of algae-bacteria interactions, affecting pollutant degradation as well as fundamental biogeochemical cycles in aquatic systems. Human-induced land-use changes greatly alter the molecular composition and input of terrestrial dissolved organic matter (DOM) in inland lakes. However, how the origin of DOM leads to varying effects on phycosphere microbial communities or molecular composition of DOM, e.g., via carbon metabolism, has been little studied in freshwater. Here, we incubated the cyanobacterium Microcystis aeruginosa and a bacterial community from natural lakes to establish an alga-bacteria model system. This allowed us to investigate how DOM from different sources affects phycosphere microbial diversity and DOM diversification. We showed that Suwannee River fulvic acid (SRFA), Suwannee River natural organic matter (SRNOM) and cropland lake DOM promote algal growth, whereas DOM from an urban lake inhibits algal growth. Algal metabolites and DOM together shaped the chemotaxis response of phycosphere communities. High-resolution mass spectrometry analysis demonstrated that DOM chemo-diversity tended to become uniform after interactions of diverse DOM sources with the algae-bacteria symbiosis system. Molecular thermodynamic analysis of DOM based on a substrate-explicit model further verified that microbial interactions render DOM less bioavailable and thus increase recalcitrant DOM formation. Metabolome analysis uncovered that DOM addition intensifies metabolic pathways related to labile and recalcitrant DOM utilization (mainly lignin/carboxyl-rich alicyclic molecule (CRAM)-like DOM, unsaturated hydrocarbon), whereby cofactor and vitamin metabolism represented an extremely strong activity in all metabolic pathways. Our results highlight covariation and interactions of DOM with microbial metabolism at the molecular level and expands our understanding of microbially mediated DOM shaping aquatic carbon cycling.

The effects of antihypertensive drugs on glucose metabolism.

Abnormal glucose metabolism is a common disease of the endocrine system. The effects of drugs on glucose metabolism have been reported frequently in recent years, and since abnormal glucose metabolism increases the risk of microvascular and macrovascular complications, metabolic disorders, and infection, clinicians need to pay close attention to these effects. A variety of common drugs can affect glucose metabolism and have different mechanisms of action. Hypertension is a common chronic cardiovascular disease that requires long-term medication. Studies have shown that various antihypertensive drugs also have an impact on glucose metabolism. Among them, α-receptor blockers, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, and calcium channel blockers can improve insulin resistance, while ß-receptor blockers, thiazides and loop diuretics can impair glucose metabolism. The aim of this review was to discuss the mechanisms underlying the effects of various antihypertensive drugs on glucose metabolism in order to provide reference information for rational clinical drug use.

Mesoporous silica thin film as effective coating for enhancing osteogenesis through selective proteins adsorption and blood clotting.

The role of blood clot in tissue repair has been identified for a long time whereas its participation in the integration between implants and host tissues has attracted attentions only in recent years. In this work, the mesoporous silica thin film (MSTF) with either vertical or parallel orientation was deposited on titania nanotubes (TNT) surface, resulting in superhydrophilic nanoporous surfaces. Through proteomic analysis of blood plasma adsorption, the MSTF coating could significantly increase the acidic proteins abundance and the coagulation factors (XII and XI) adsorption, with the help of cations (Na+, Ca2+) binding. As a consequent, both platelets activation and the blood clot formation were significantly enhanced on MSTF surface with more condensed fibrin networks. Two classical growth factors of PDGF-AB and TGF-ß were enriched in the blood clots from MSTF surface, which accounted for robust osteogenesis both in vitro and in vivo. In conclusion, the study demonstrates that the MSTF may be a promising coating to enhance osteogenesis through modulating blood clot formation.

Piezo1 promotes peripheral nerve fibrotic scar formation through Schwann cell senescence.

After peripheral nerve injury (PNI), the long-term healing process at the injury site involves a progressive accumulation of collagen fibers and the development of localized scar tissue. Excessive formation of scar tissue within nerves hinders the process of nerve repair. In this study, we demonstrate that scar formation following nerve injury induces alterations in the local physical microenvironment, specifically an increase in nerve stiffness. Recent research has indicated heightened expression of Piezo1 in Schwann cells (SCs). Our findings also indicate Piezo1 expression in SCs and its association with suppressed proliferation and migration. Transcriptomic data suggests that activation of Piezo1 results in elevated expression of senescence-associated genes. GO enrichment analysis reveals upregulation of the TGF-ß pathway. Overall, our study highlights the potential for Piezo1-induced signaling to regulate SC senescence and its potential significance in the pathophysiology of fibrotic scar formation surrounding peripheral nerves.

Application of network pharmacology and dock of molecules on the exploration of the mechanism of frankincense-myrrh for lumbar intervertebral disc degeneration: A review.

To investigate the efficacy of Frankincense-Myrrh in lumbar Intervertebral degenerative diseases (LIDD). The active components of frankincense-myrrh was retrieved with a unique system pharmacology platform for Traditional Chinese Medicine Systems Pharmacology (TCMSP). The LIDD-related target genes were screened with DisGeNET and Genecards databases. Then, STRING & Cytoscape were used for analyzing the Protein-Protein Interaction network. DAVID was used for analyzing Gene Ontology (GO) & Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. Finally, molecules of AutoDockVina and Pymol were used for docking the molecules for verifying active ingredients and key targets' binding force. The 105 LIDD-related targets identified in Ruxiang (RX)-Moyao (MY) involve 53 active ingredients. In addition, topological analysis was conducted for identifying the 12 key targets. According to the analysis results of GO & KEGG, RX-MY is significant for treating LIDD through participating in many pathways and biological processes, such as signaling pathways of inflammatory response reactive process, MAP kinase activity, TNF, and MAPK, etc. According to the dock results, the active components oxo-tirucalic, acid, isofouquierone, (7S, 8R, 9S, 10R, 13S, 14S,17Z)-17-ethylidene-7-hydroxy-10,13-dimethyl-1,2,6,7,8,9,11,12,14,15-decahydrocyclopenta [a] phenanthrene-3,16-dion in RX-MY binds actively. The basic pharmacological action and RX-MY-related mechanism in the treatment of LIDD was revealed in this study for the first time. It is predicted that the results may provide a treatment plan for RX-MY with replacement of NSAIDs and warrant investigation of new therapeutic alternatives for LIDD. However, these predictions should be validated by relevant pharmacological trials.

Adaptive two-dimensional subspace identification for monitoring batch processes with limited batch data.

Data-driven based batch process monitoring is of critical importance in ensuring stable operating processes and consistent product quality. For long-duration batch processes, it is unrealistic to involve expensive data to train a statistical model for monitoring. To model the inherently batch-wise and variable-wise dynamics, nonlinearity, and time-varying characteristics, this paper proposes a local learning-based two-dimensional subspace identification (LL-2D-SID) scheme based on the similarity between the ongoing batch and the previous batches. The similarity is estimated by the extended extrapolative time-warping. Unlike the conventional statistical models using rich batch data, LL-2D-SID through online optimizing mechanism using limited batch data still has good prediction performance. The application of the sintering process in the polytetrafluoroethylene production has demonstrated that the LL-2D-SID based process monitoring scheme can not only accurately track temperature changes but also timely give fault alarms with a lower error alarm rate than the other SID-based process monitoring schemes.

Suppressed Defects by Functional Thermally Cross-Linked Fullerene for High-Efficiency Tin-Lead Perovskite Solar Cells.

Mixed tin-lead (Sn-Pb) perovskites have attracted the attention of the community due to their narrow bandgap, ideal for photovoltaic applications, especially tandem solar cells. However, the oxidation and rapid crystallization of Sn2+ and the interfacial traps hinder their development. Here, cross-linkable [6,6]-phenyl-C61-butyric styryl dendron ester (C-PCBSD) is introduced during the quenching step of perovskite thin film processing to suppress the generation of surface defects at the electron transport layer interface and improve the bulk crystallinity. The C-PCBSD has strong coordination ability with Sn2+ and Pb2+ perovskite precursors, which retards the crystallization process, suppresses the oxidation of Sn2+, and improves the perovskite bulk and surface crystallinity, yielding films with reduced nonradiative recombination and enhanced interface charge extraction. Besides, the C-PCBSD network deposited on the perovskite surface displays superior hydrophobicity and oxygen resistance. Consequently, the devices with C-PCBSD obtain PCEs of up to 23.4% and retained 97% of initial efficiency after 2000 h of storage in a N2 atmosphere.

Imaging-guided companion diagnostics in radiotherapy by monitoring APE1 activity with afterglow and MRI imaging.

Companion diagnostics using biomarkers have gained prominence in guiding radiotherapy. However, biopsy-based techniques fail to account for real-time variations in target response and tumor heterogeneity. Herein, we design an activated afterglow/MRI probe as a companion diagnostics tool for dynamically assessing biomarker apurinic/apyrimidinic endonuclease 1(APE1) during radiotherapy in vivo. We employ ultrabright afterglow nanoparticles and ultrasmall FeMnOx nanoparticles as dual contrast agents, significantly broadening signal change range and enhancing the sensitivity of APE1 imaging (limit of detection: 0.0092 U/mL in afterglow imaging and 0.16 U/mL in MRI). We devise longitudinally and transversely subtraction-enhanced imaging (L&T-SEI) strategy to markedly enhance MRI contrast and signal-to-noise ratio between tumor and normal tissue of living female mice. The combined afterglow and MRI facilitate both anatomical and functional imaging of APE1 activity. This probe enables correlation of afterglow and MRI signals with APE1 expression, radiation dosage, intratumor ROS, and DNA damage, enabling early prediction of radiotherapy outcomes (as early as 3 h), significantly preceding tumor size reduction (6 days). By monitoring APE1 levels, this probe allows for early and sensitive detection of liver organ injury, outperforming histopathological analysis. Furthermore, MRI evaluates APE1 expression in radiation-induced abscopal effects provides insights into underlying mechanisms, and supports the development of treatment protocols.

Experimental Study on the Relationship Among Complex Resistivity, Water Saturation, and Salinity in the Jiaozuo Anthracite Reservoir.

In order to investigate the electrical response characteristics of anthracite coal reservoirs and their correlation with water saturation, salinity, and porosity, the complex resistivity of Zhaogu No. 2 mine anthracite coal was measured across a frequency range of 1 Hz to 100 kHz. The experimental findings indicate that as water saturation, salinity, and porosity increase, the amplitude of both the real and imaginary components of the complex resistance of the coal sample gradually decreases, leading to a decrease in the dispersion degree and an increase in the interface polarization frequency. By analyzing the experimental data and studying the polarization mechanism of coal in a sodium chloride solution, this study proposed an enhanced model that integrates the aspects of the Cole-Cole model and the Warburg model to overcome the limitations of the traditional first-order model, which can fit only single-peak curves. The second-order series Cole-Cole model not only delves into microscopic mechanisms underlying the low-frequency polarization effect of coal samples but also provides a highly accurate fit for complex resistivity dispersion curves under varying conditions. This research offers both an experimental foundation and a theoretical framework for leveraging the electrical properties of anthracite coal reservoirs in assessing the pore structure and permeability of coal seams.

Double-edge scan wavefront metrology and its application in crystal diffraction wavefront measurements.

Achieving diffraction-limited performance in fourth-generation synchrotron radiation sources demands monochromator crystals that can preserve the wavefront across an unprecedented extensive range. There is an urgent need for techniques of absolute crystal diffraction wavefront measurement. At the Beijing Synchrotron Radiation Facility (BSRF), a novel edge scan wavefront metrology technique has been developed. This technique employs a double-edge tracking method, making diffraction-limited level absolute crystal diffraction wavefront measurement a reality. The results demonstrate an equivalent diffraction surface slope error below 70 nrad (corresponding to a wavefront phase error of 4.57% λ) r.m.s. within a nearly 6 mm range for a flat crystal in the crystal surface coordinate. The double-edge structure contributes to exceptional measurement precision for slope error reproducibility, achieving levels below 15 nrad (phase error reproducibility < λ/100) even at a first-generation synchrotron radiation source. Currently, the measurement termed double-edge scan (DES) has already been regarded as a critical feedback mechanism in the fabrication of next-generation crystals.

Gut Microbiome and Atherosclerosis: A Mendelian Randomization Study.

Background: According to recent studies, atherosclerosis and gut microbiota are related. Nevertheless, it has been discovered that the gut microbiota varies across studies, with its function still being debated, and such relationships not proven to be causal. Thus, our study aimed to identify the key gut microbiota taxa (GM taxa) at different taxonomic levels, namely, the phylum, class, order, family, and genus, to investigate any potential causal links to atherosclerosis. Methods: We employed summary data from the MiBioGen consortium on the gut microbiota to conduct a sophisticated two-sample Mendelian randomization (MR) analysis. Pertinent information regarding atherosclerosis statistics was acquired from the FinnGen Consortium R8 publication. To assess causality, the utilized principal analytical technique was the inverse variance-weighted (IVW) method. Supplementary to IVW, additional MR methodologies were employed, including weighted median, MR-Egger, weighted methods, and simple mode. Sensitivity analyses involved the application of Cochrane's Q-test, MR-Egger intercept test, MR-PRESSO global test, and leave-one-out analysis. Results: Finally, after performing an MR study on the risk of 211 GM taxa on atherosclerosis, we discovered 20 nominal links and one strong causal link. Firmicutes (phylum ID: 1672) (odds ratio (OR) = 0.852 (0.763, 0.950), p = 0.004) continued to be connected with a lower incidence of coronary atherosclerosis, even after Bonferroni correction. Conclusions: Based on the discovered data, it was established that the phylum Firmicutes exhibits a causal relationship with a reduced occurrence of coronary atherosclerosis. This investigation could potentially provide novel insights into therapeutic objectives for atherosclerosis by focusing on the gut microbiota.

Mendelian randomization study of inflammatory bowel disease and type 1 diabetes.

PURPOSE: Our purpose was to investigate and test the causal relationship between type 1 diabetes (T1D) and inflammatory bowel disease (IBD) and its major phenotypes, including ulcerative colitis (UC) and Crohn's disease (CD), in two large datasets. METHODS: We obtained IBD samples from the largest publicly available genome-wide association study (GWAS), as well as the FinnGen database and the publicly accessible IEU GWAS database of T1D. We employed a two-sample Mendelian randomization approach to assess bidirectional causality using the inverse variance weighting (IVW) method as the primary outcome. RESULTS: Genetic predisposition to T1D was associated with reduced risk of IBD (IVW: odds ratio (OR), 0.867; 95% confidence interval (CI), [0.852, 0.883]; P < 0.001), UC (OR = 0.879 [0.823, 0.939], P < 0.001), and CD (OR = 0.925 [0.872, 0.981], P = 0.009). The republication results found IBD genetically possessed negative association with T1D (OR = 0.781 [0.684, 0.891], P < 0.001). Additionally, a meta-analysis of results was conducted to prove the strong evidence between T1D and CD (OR = 0.95 [0.91, 0.98]; p = 0.01). CONCLUSIONS: This study first demonstrated a causal effect of TID on the reduced risk of CD in the mendelian randomization study.

Structural Color Colloidal Photonic Crystals for Biomedical Applications.

Photonic crystals are a new class of optical microstructure materials characterized by a dielectric constant that varies periodically with space and features a photonic bandgap. Inspired by natural photonic crystals such as butterfly scales, a series of artificial photonic crystals are developed for use in integrated photonic platforms, biosensing, communication, and other fields. Among them, colloidal photonic crystals (CPCs) have gained widespread attention due to their excellent optical properties and advantages, such as ease of preparation and functionalization. This work reviews the classification and self-assembly principles of CPCs, details some of the latest biomedical applications of large-area, high-quality CPCs prepared using advanced self-assembly methods, summarizes the existing challenges in CPC construction and application, and anticipates future development directions and optimization strategy. With further advancements, CPCs are expected to play a more critical role in biosensors, drug delivery, cell research, and other fields, bringing significant benefits to biomedical research and clinical practice.

Non-ionic Perylene-Diimide Polymer as Universal Cathode Interlayer for Conventional, Inverted, and Blade-Coated Organic Solar Cells.

As a class of predominantly used cathode interlayers (CILs) in organic solar cells (OSCs), perylene-diimide (PDI)-based polymers exhibit intriguing characteristics of excellent charge transporting capacity and suitable energy levels. Despite that, PDI-based CILs with satisfied film-forming ability and adequate solvent resistance are rather rare, which not only limits the further advance of OSC performances but also hinders the practical use of PDI CILs. Herein, we designed and synthesized two non-conjugated PDI polymers for achieving high power conversion efficiency (PCE) in diverse types of OSCs. The utilization of oligo (ethylene glycol) (OEG) linkage enhanced the n-doping effect of PDI polymers, leading to an improved ability of the CIL to reduce work function and improve electron transporting capability. Moreover, the introduction of the non-ionic OEG chain effectively improve the wetting property and solvent resistance of PDI polymers, so the PPDINN CIL can withstand diverse processing conditions in fabricating different OSCs, including conventional, inverted and blade-coated devices. The binary OSC with conventional structure using PPDINN CIL showed a PCE of 18.6%, along with an improved device stability. Besides, PPDINN is compatible with the large-area blade-coating technique, and a PCE of 16.6% was achieved in the 1-cm2 OSC where a blade-coated PPDINN was used.

Impact of high temperature and drought stress on the microbial community in wolf spiders.

High temperatures and drought present significant abiotic challenges that can limit the survival of many arthropods, including wolf spiders, which are ectothermic and play a crucial role in controlling pest populations. However, the impact of these stress factors on the microbiota of spiders remains poorly understood. In this study, we utilized 16 S rRNA gene sequencing to explore the diversity and composition of bacterial communities within Pardosa pseudoannulata under conditions of high temperature and drought stress. We found that Firmicutes, Bacteroidetes, and Proteobacteria were the predominant bacterial phyla present. Analyses of alpha diversity indicated an increase in bacterial diversity under combined stress conditions, as reflected by various diversity indices such as Ace, Chao1, Shannon, and Simpson. Furthermore, co-occurrence network analysis highlighted intricate interactions among the microbial taxa (e.g., Enterobacter, Chitinophaga, and Eubacterium), revealing the adaptive complexity of the spider's microbiome to environmental stress. Functional prediction analysis suggested that combined stress conditions might enhance key metabolic pathways, particularly those related to oxidative phosphorylation and amino acid metabolism. Using Random Forest analysis, we determined that changes in three heat shock proteins were largely attributed to variations in bacterial communities, with Firmicutes being notably influential. Collectively, this in-depth analysis offers novel insights into the responses of microbial communities within spider microbiomes to combined abiotic stresses, providing valuable information for understanding extreme climate impacts and informing ecological management strategies.