[Construction of ecological network with protected areas as the main region in Guangzhou City, China]. / 以自然保护地为主体的广州市域生态网络构建.

In the context of the national ecological security development strategy, constructing regional ecological networks centered on protected areas and ecological corridors has become an urgent issue in protected areas system development of China. We focused on strengthening ecological connections between protected areas in Guangzhou, identified the ecological resource patches, ecological corridors, and ecological nodes by using Invest model, connectivity analysis, circuit theory models, and graph-theoretical network structure evaluation, and constructed an ecological network for the Guangzhou with nature reserves as the core. The results showed that 52 ecological resource patches were identified in the study area, covering a total area of 1450.01 km2. Nature reserves accounted for 76.4% of the total area, forming the main part of the ecological resource patches. 115 ecological corridors were identified, with a total length of 900.56 km and an average length of 7.83 km. Furthermore, 72 ecological key points were identified, covering a total area of 17.57 km2, and 81 ecological breakpoints, with a total area of 35.9 km2. The network structure indices (α=0.65, ß=2.21, and γ=0.77) indicated a reasonably structured and well-connected network. By exploring pathways for constructing regional ecological networks under the protected areas system and enriching the application of circuit theory models in ecological network construction, this study provides scientific basis for regional ecological security and biodiversity conservation.

Causal association between genetically predicted circulating immune cell counts and frailty: a two-sample Mendelian randomization study.

Background: Despite the recognized link between immune responses and frailty, the association between immune cell counts and frailty based on previous observational studies remains disputed, with uncertain causal nexus. This study aimed to elucidate causal association between genetically predicted circulating immune cell counts and frailty. Methods: We conducted the two-sample Mendelian randomization (MR) study with independent genetic variants associated with six immune cell subtype counts from genome-wide association studies in 563,946 European individuals. Frailty summary data, assessed via frailty index (FI), was obtained from study comprising 175,226 subjects. Univariate MR, reverse MR and multivariate MR were conducted to comprehensive investigate the association between immune cell counts and FI, with two-step MR analysis for mediation analysis. Results: Univariate MR evidence indicated that among six leukocyte subtype counts, only elevated eosinophil count was significantly correlated with higher FI (ß = 0.059, 95% confidence interval [CI], 0.042-0.078, P=5.63E-11), with no reverse causal relationship identified in reverse MR. In multivariate MR, the causal effect of eosinophil count retained statistical significance (ß = 0.063, 95% CI, 0.021-0.104, P = 0.003). Ultimately, the two-step MR analysis demonstrated two mediators in this causal pathway: asthma (ß= 0.019, 95% CI, 0.013-0.025, P = 35.84E-10, mediated proportion, 31.732%) and rheumatoid arthritis (ß= 0.004, 95% CI, 0.001-0.006, P=1.75E-03, mediated proportion, 6.411%). Conclusions: Within immune cell subtypes, MR evidence indicated only genetically predicted circulating eosinophil count had irreversible and independent causal effect on frailty, with asthma and rheumatoid arthritis possibly serving as partial mediators. The finding stressed the need for further exploring physiological functions of eosinophils in order to develop effective strategies against frailty.

Effect of dexmedetomidine for attenuation of propofol injection pain in electroconvulsive therapy: a randomized controlled study.

PURPOSE: Current analgesic strategies for propofol injection pain may cause adverse reactions during electroconvulsive therapy (ECT), such as shortening seizure duration. This study investigated whether dexmedetomidine could attenuate propofol injection pain in ECT. METHODS: Participants were randomly allocated to receive 0.2 µg/kg dexmedetomidine (Dex-0.2 group), 0.5 µg/kg dexmedetomidine (Dex-0.5 group) or saline (control group) prior to ECT. The composite pain scale and objective Surgical Pleth Index (SPI) were used to measure the intensity of injection pain, and the percentage of patients with pain score > 2 was the primary outcome. RESULTS: Of 137 patients recruited, 46 were assigned to each of the Dex-0.2 or Dex-0.5 groups, while 45 were in the control group. The percentage of pain score > 2 was reduced from 68.9% (31/45) in the control group to 34.8% (16/46) in the Dex-0.2 group (P < 0.001) and 15.2% (7/46) in the Dex-0.5 group (P < 0.001). The pain score and SPI at 5 s after propofol injection were greater in the control group than in the Dex-0.2 [pain scores 3 (2-4) vs. 1 (1-3), P < 0.001, SPI 76.6 ± 10.0 vs. 58.0 ± 11.0, P < 0.001] and Dex-0.5 groups [pain scores 3 (2-4) vs. 1 (0-1), P < 0.001, SPI 76.6 ± 10.0 vs. 51.2 ± 12.3, P < 0.001]. There were no significant differences in seizure duration between the three groups. No patients developed bradycardia and hypotension. CONCLUSIONS: Pretreatment with dexmedetomidine was able to reduce the propofol injection pain in ECT without interfering with the seizure duration and causing adverse effects such as bradycardia and hypotension. In addition, close monitoring of hemodynamic variables and preparation of a treatment plan and drugs for bradycardia are essential.

Identification of key genes and pathways associated with neuropathic pain in uninjured dorsal root ganglion by using bioinformatic analysis.

PURPOSE: Neuropathic pain is a complex chronic condition occurring post-nervous system damage. The transcriptional reprogramming of injured dorsal root ganglia (DRGs) drives neuropathic pain. However, few comparative analyses using high-throughput platforms have investigated uninjured DRG in neuropathic pain, and potential interactions among differentially expressed genes (DEGs) and pathways were not taken into consideration. The aim of this study was to identify changes in genes and pathways associated with neuropathic pain in uninjured L4 DRG after L5 spinal nerve ligation (SNL) by using bioinformatic analysis. MATERIALS AND METHODS: The microarray profile GSE24982 was downloaded from the Gene Expression Omnibus database to identify DEGs between DRGs in SNL and sham rats. The prioritization for these DEGs was performed using the Toppgene database followed by gene ontology and pathway enrichment analyses. The relationships among DEGs from the protein interactive perspective were analyzed using protein-protein interaction (PPI) network and module analysis. Real-time polymerase chain reaction (PCR) and Western blotting were used to confirm the expression of DEGs in the rodent neuropathic pain model. RESULTS: A total of 206 DEGs that might play a role in neuropathic pain were identified in L4 DRG, of which 75 were upregulated and 131 were downregulated. The upregulated DEGs were enriched in biological processes related to transcription regulation and molecular functions such as DNA binding, cell cycle, and the FoxO signaling pathway. Ctnnb1 protein had the highest connectivity degrees in the PPI network. The in vivo studies also validated that mRNA and protein levels of Ctnnb1 were upregulated in both L4 and L5 DRGs. CONCLUSION: This study provides insight into the functional gene sets and pathways associated with neuropathic pain in L4 uninjured DRG after L5 SNL, which might promote our understanding of the molecular mechanisms underlying the development of neuropathic pain.