Background The contamination of public baths with Legionella pneumophila contamination has become a growing public health concern in recent years. However, research on its association with bacterial community characteristics in water samples remains limited. The integration of 16S rRNA sequencing and random forest modeling provides a new approach to elucidate the bacterial community characteristics of public bath water and their association with Legionella pneumophila contamination. Objective To investigate the bacterial community structure and diversity of public bath water in Shanghai, explore the association between Legionella pneumophila contamination and bacterial community characteristics, and identify key bacterial genera associated with contamination, thereby providing a scientific basis for formulating hygiene management regulations for public bath water. Methods From February to March 2023, water samples were collected from ten public baths in Shanghai which were selected based on business scale, regional distribution, and functional differences. Water quality parameters were evaluated, and the samples were categorized into Legionella-positive and Legionella-negative groups based on the detection results of Legionella pneumophila. The bacterial community structure, α-diversity, and β-diversity were analyzed using 16S rRNA sequencing. Redundancy analysis (RDA) was employed to examine the relationship between physicochemical factors and bacterial community diversity. A random forest model was employed to identify key bacterial genera distinguishing the two groups, with the importance of genera being evaluated based on the mean decrease accuracy (MDA). Results The oxygen consumption in the Legionella-positive group was significantly lower than that in the Legionella-negative group (mean values: 1.85 mg·L⁻¹ vs. 6.81 mg·L⁻¹, P< 0.05), while no significant differences were observed in other physicochemical indicators. The sequencing results revealed a total of 27 bacterial phyla and 454 bacterial genera, with Proteobacteria (63.00%) being the dominant phylum. The dominant genera included Pelomonas (8.50%), Acidovorax (8.13%), Mycobacterium (7.93%), and Acinetobacter (6.59%). The α-diversity analysis indicated that bacterial community richness (Chao1 and ACE indices) was significantly higher in the Legionella-positive group than in the Legionella-negative group (P<0.01). The β-diversity analysis showed no significant difference in the bacterial community structure between the two groups (P>0.05). The RDA analysis demonstrated that the bacterial community diversity was positively correlated with pH and negatively correlated with oxygen consumption and free residual chlorine. The RDA1 and RDA2 explained 23.92% and 21.30% of the bacterial community diversity, respectively. The random forest model identified 20 key genera significantly influencing the microbial community distribution between the two groups, including unclassified_Bradyrhizobiaceae (MDA=2.42), Meiothermus (MDA=2.37), and Flavihumibacter (MDA=2.26). Conclusion The diversity of bacterial communities in public bath water is influenced by pH, oxygen consumption, and free residual chlorine. Samples contaminated with Legionella pneumophila exhibit greater microbial richness and contain characteristic key bacterial genera that contribute to community differences. Machine learning random forest technology helps identify these distinctive key bacterial genera. The findings provide a basis for carrying out risk early warning strategies in such settings.

Objective This study aims to assess the impact of four-dimensional cone-beam computed tomography (4D-CBCT) image guidance on setup error correction and target dose distribution optimization in patients receiving stereotactic body radiotherapy for lung cancer. Methods A total of 82 lung cancer patients treated with SBRT in our hospital between February 2023 and February 2025 were randomly selected as study subjects. Using a random number table, they were divided into two groups. The conventional group underwent positioning verification using traditional three-dimensional cone-beam CT, while the study group underwent verification using 4D-CBCT. Setup errors, target dose-volume parameters, organ at risk dose-volume parameters, and adverse reactions were compared between the two groups. Results The setup errors in the X, Y, and Z axes in the study group were 0.21, 0.19, and 0.23 mm, respectively, which were significantly lower than 0.58, 0.62, and 0.59 mm in the conventional group (P<0.05). The three-dimensional vector error was 0.34 (0.21, 0.48) mm in the study group, which was significantly lower than 0.98 (0.65, 1.32) mm in the conventional group (P<0.05). The rotational errors in left-right, anteroposterior, and superior-inferior directions in the study group were (0.25±0.12)°, (0.21±0.10)°, and (0.23±0.11)°, respectively; these values were significantly lower than (0.48±0.18)°, (0.42±0.15)°, and (0.45±0.16)° in the conventional group (P<0.05). The minimum dose received by 95% of the target volume [(59.45±0.85) Gy] and the percentage of the target volume receiving at least 100% of the prescription dose [(95.82±2.65)%] in the study group were higher than those in the conventional group [(58.90±1.20) Gy and (93.65±3.85)%]. The homogeneity index and conformity index in the study group were 1.07±0.03 and 1.15±0.05, respectively, which were lower than 1.12±0.05 and 1.23±0.08 in the conventional group (P<0.05). No significant differences were observed between the two groups in the volume of the lung receiving 5 Gy [(28.11±5.52)% vs. (28.85±6.24)%], the volume of the lung receiving 20 Gy [(12.84±3.56)% vs. (13.45±3.90)%], mean lung dose [(8.65±2.11) Gy vs. (8.95±2.34) Gy], maximum spinal cord dose [(18.54±3.62) Gy vs. (19.13±4.25) Gy], or mean heart dose[(14.85±4.22) Gy vs. (16.27±4.83) Gy](P>0.05). The incidence rates of radiation pneumonitis, radiation esophagitis, and skin reactions in the study group were 12.20%, 7.32%, and 4.88%, respectively, which were not significantly different from 17.07%, 9.76%, and 7.32% in the conventional group (P>0.05). Conclusion The 4D-CBCT can reduce setup errors, improve target dose accuracy and conformity in lung cancer patients undergoing SBRT, and minimize radiation exposure to normal tissues, making it worthy of clinical promotion.

Objective This study aims to assess the impact of four-dimensional cone-beam computed tomography (4D-CBCT) image guidance on setup error correction and target dose distribution optimization in patients receiving stereotactic body radiotherapy for lung cancer. Methods A total of 82 lung cancer patients treated with SBRT in our hospital between February 2023 and February 2025 were randomly selected as study subjects. Using a random number table, they were divided into two groups. The conventional group underwent positioning verification using traditional three-dimensional cone-beam CT, while the study group underwent verification using 4D-CBCT. Setup errors, target dose-volume parameters, organ at risk dose-volume parameters, and adverse reactions were compared between the two groups. Results The setup errors in the X, Y, and Z axes in the study group were 0.21, 0.19, and 0.23 mm, respectively, which were significantly lower than 0.58, 0.62, and 0.59 mm in the conventional group (P<0.05). The three-dimensional vector error was 0.34 (0.21, 0.48) mm in the study group, which was significantly lower than 0.98 (0.65, 1.32) mm in the conventional group (P<0.05). The rotational errors in left-right, anteroposterior, and superior-inferior directions in the study group were (0.25±0.12)°, (0.21±0.10)°, and (0.23±0.11)°, respectively; these values were significantly lower than (0.48±0.18)°, (0.42±0.15)°, and (0.45±0.16)° in the conventional group (P<0.05). The minimum dose received by 95% of the target volume [(59.45±0.85) Gy] and the percentage of the target volume receiving at least 100% of the prescription dose [(95.82±2.65)%] in the study group were higher than those in the conventional group [(58.90±1.20) Gy and (93.65±3.85)%]. The homogeneity index and conformity index in the study group were 1.07±0.03 and 1.15±0.05, respectively, which were lower than 1.12±0.05 and 1.23±0.08 in the conventional group (P<0.05). No significant differences were observed between the two groups in the volume of the lung receiving 5 Gy [(28.11±5.52)% vs. (28.85±6.24)%], the volume of the lung receiving 20 Gy [(12.84±3.56)% vs. (13.45±3.90)%], mean lung dose [(8.65±2.11) Gy vs. (8.95±2.34) Gy], maximum spinal cord dose [(18.54±3.62) Gy vs. (19.13±4.25) Gy], or mean heart dose[(14.85±4.22) Gy vs. (16.27±4.83) Gy](P>0.05). The incidence rates of radiation pneumonitis, radiation esophagitis, and skin reactions in the study group were 12.20%, 7.32%, and 4.88%, respectively, which were not significantly different from 17.07%, 9.76%, and 7.32% in the conventional group (P>0.05). Conclusion The 4D-CBCT can reduce setup errors, improve target dose accuracy and conformity in lung cancer patients undergoing SBRT, and minimize radiation exposure to normal tissues, making it worthy of clinical promotion.

Objective This study aims to assess the impact of four-dimensional cone-beam computed tomography (4D-CBCT) image guidance on setup error correction and target dose distribution optimization in patients receiving stereotactic body radiotherapy for lung cancer. Methods A total of 82 lung cancer patients treated with SBRT in our hospital between February 2023 and February 2025 were randomly selected as study subjects. Using a random number table, they were divided into two groups. The conventional group underwent positioning verification using traditional three-dimensional cone-beam CT, while the study group underwent verification using 4D-CBCT. Setup errors, target dose-volume parameters, organ at risk dose-volume parameters, and adverse reactions were compared between the two groups. Results The setup errors in the X, Y, and Z axes in the study group were 0.21, 0.19, and 0.23 mm, respectively, which were significantly lower than 0.58, 0.62, and 0.59 mm in the conventional group (P<0.05). The three-dimensional vector error was 0.34 (0.21, 0.48) mm in the study group, which was significantly lower than 0.98 (0.65, 1.32) mm in the conventional group (P<0.05). The rotational errors in left-right, anteroposterior, and superior-inferior directions in the study group were (0.25±0.12)°, (0.21±0.10)°, and (0.23±0.11)°, respectively; these values were significantly lower than (0.48±0.18)°, (0.42±0.15)°, and (0.45±0.16)° in the conventional group (P<0.05). The minimum dose received by 95% of the target volume [(59.45±0.85) Gy] and the percentage of the target volume receiving at least 100% of the prescription dose [(95.82±2.65)%] in the study group were higher than those in the conventional group [(58.90±1.20) Gy and (93.65±3.85)%]. The homogeneity index and conformity index in the study group were 1.07±0.03 and 1.15±0.05, respectively, which were lower than 1.12±0.05 and 1.23±0.08 in the conventional group (P<0.05). No significant differences were observed between the two groups in the volume of the lung receiving 5 Gy [(28.11±5.52)% vs. (28.85±6.24)%], the volume of the lung receiving 20 Gy [(12.84±3.56)% vs. (13.45±3.90)%], mean lung dose [(8.65±2.11) Gy vs. (8.95±2.34) Gy], maximum spinal cord dose [(18.54±3.62) Gy vs. (19.13±4.25) Gy], or mean heart dose[(14.85±4.22) Gy vs. (16.27±4.83) Gy](P>0.05). The incidence rates of radiation pneumonitis, radiation esophagitis, and skin reactions in the study group were 12.20%, 7.32%, and 4.88%, respectively, which were not significantly different from 17.07%, 9.76%, and 7.32% in the conventional group (P>0.05). Conclusion The 4D-CBCT can reduce setup errors, improve target dose accuracy and conformity in lung cancer patients undergoing SBRT, and minimize radiation exposure to normal tissues, making it worthy of clinical promotion.

ObjectiveTo investigate the protective effect of Qiju Dihuang Wan on diabetic retinopathy （DR） and its regulatory mechanism on the NOD-like receptor protein 3/Cysteinyl aspartate-specific proteinase-1/Gasdermin D （NLRP3/Caspase-1/GSDMD） signaling pathway. MethodsHuman retinal microvascular endothelial cells （HRMEC） were divided into the blank group， model group， and Qiju Dihuang Wan low- and high-dose groups. Except for the blank group， all groups were induced with 40 mmol·L^-1 high glucose， and the treatment groups were supplemented with 6% and 12% Qiju Dihuang Wan-containing serum， respectively， based on the induction. After 24 h of culture， the levels of interleukin （IL）-1β and IL-18 were measured by enzyme-linked immunosorbent assay （ELISA）， pyroptosis-related protein expression was detected by immunofluorescence and Western blot， and the mRNA levels of NLRP3/Caspase-1/GSDMD signaling pathway-related molecules were determined by real-time polymerase chain reaction （Real-time PCR）. The mice were randomly divided into the blank group， model group， Qiju Dihuang Wan low-， medium-， and high-dose groups （11， 22， 44 g·kg^-1·d^-1）， and calcium dobesilate group （0.13 g·kg^-1·d^-1）. Except for the blank group， all groups were intraperitoneally injected with streptozotocin to establish the DR model. After successful modeling， the treatment groups received corresponding doses of Qiju Dihuang Wan crude drug or calcium dobesilate suspension by gavage once daily， while the blank group and model group received an equal volume of normal saline， for 8 consecutive weeks. Fundus changes were examined by optical coherence tomography， optical coherence tomography angiography， and fundus fluorescein angiography. Retinal pathological morphology was observed by hematoxylin-eosin staining. Real-time PCR was used to detect the mRNA levels of NLRP3， Caspase‑1， GSDMD， IL‑1β， and IL‑18 in retinal tissue， and Western blot was used to detect the protein expression of NLRP3， ASC， cleaved Caspase‑1， and GSDMD‑N. ResultsCell experiments showed that compared with the blank group， the model group showed significantly decreased HRMEC viability （P<0.01）， and significantly increased levels of IL-1β， IL-18， as well as increased protein expression of NLRP3， cleaved Caspase-1， and GSDMD-N （P<0.01）. Compared with the model group， the above indicators were significantly reduced in the high-dose Qiju Dihuang Wan groups （P<0.05， P<0.01）. Animal experiments showed that compared with the blank group， the model group had elevated blood glucose （P<0.01）， decreased retinal thickness and vascular density （P<0.01）， up‑regulated mRNA expression of NLRP3， Caspase‑1， GSDMD， IL‑1β and IL‑18 in retinal tissue （P<0.01）， and up‑regulated protein expression of NLRP3， ASC， cleaved Caspase‑1 and GSDMD‑N （P<0.01）. Compared with the model group， the Qiju Dihuang Wan medium- and high‑dose groups showed decreased blood glucose （P<0.01）， increased retinal thickness and vascular density （P<0.01）， alleviated retinal pathological damage， and down‑regulated mRNA expression of NLRP3， Caspase‑1， GSDMD， IL‑1β， IL‑18， as well as protein expression of NLRP3， ASC， cleaved Caspase‑1， and GSDMD‑N （P<0.05， P<0.01）. ConclusionQiju Dihuang Wan may exert protective effects against diabetic retinopathy by inhibiting the activation of the NLRP3/Caspase-1/GSDMD signaling pathway and alleviating high glucose-induced retinal pyroptosis.

ObjectiveTo investigate the protective effect of Qiju Dihuang Wan on diabetic retinopathy （DR） and its regulatory mechanism on the NOD-like receptor protein 3/Cysteinyl aspartate-specific proteinase-1/Gasdermin D （NLRP3/Caspase-1/GSDMD） signaling pathway. MethodsHuman retinal microvascular endothelial cells （HRMEC） were divided into the blank group， model group， and Qiju Dihuang Wan low- and high-dose groups. Except for the blank group， all groups were induced with 40 mmol·L^-1 high glucose， and the treatment groups were supplemented with 6% and 12% Qiju Dihuang Wan-containing serum， respectively， based on the induction. After 24 h of culture， the levels of interleukin （IL）-1β and IL-18 were measured by enzyme-linked immunosorbent assay （ELISA）， pyroptosis-related protein expression was detected by immunofluorescence and Western blot， and the mRNA levels of NLRP3/Caspase-1/GSDMD signaling pathway-related molecules were determined by real-time polymerase chain reaction （Real-time PCR）. The mice were randomly divided into the blank group， model group， Qiju Dihuang Wan low-， medium-， and high-dose groups （11， 22， 44 g·kg^-1·d^-1）， and calcium dobesilate group （0.13 g·kg^-1·d^-1）. Except for the blank group， all groups were intraperitoneally injected with streptozotocin to establish the DR model. After successful modeling， the treatment groups received corresponding doses of Qiju Dihuang Wan crude drug or calcium dobesilate suspension by gavage once daily， while the blank group and model group received an equal volume of normal saline， for 8 consecutive weeks. Fundus changes were examined by optical coherence tomography， optical coherence tomography angiography， and fundus fluorescein angiography. Retinal pathological morphology was observed by hematoxylin-eosin staining. Real-time PCR was used to detect the mRNA levels of NLRP3， Caspase‑1， GSDMD， IL‑1β， and IL‑18 in retinal tissue， and Western blot was used to detect the protein expression of NLRP3， ASC， cleaved Caspase‑1， and GSDMD‑N. ResultsCell experiments showed that compared with the blank group， the model group showed significantly decreased HRMEC viability （P<0.01）， and significantly increased levels of IL-1β， IL-18， as well as increased protein expression of NLRP3， cleaved Caspase-1， and GSDMD-N （P<0.01）. Compared with the model group， the above indicators were significantly reduced in the high-dose Qiju Dihuang Wan groups （P<0.05， P<0.01）. Animal experiments showed that compared with the blank group， the model group had elevated blood glucose （P<0.01）， decreased retinal thickness and vascular density （P<0.01）， up‑regulated mRNA expression of NLRP3， Caspase‑1， GSDMD， IL‑1β and IL‑18 in retinal tissue （P<0.01）， and up‑regulated protein expression of NLRP3， ASC， cleaved Caspase‑1 and GSDMD‑N （P<0.01）. Compared with the model group， the Qiju Dihuang Wan medium- and high‑dose groups showed decreased blood glucose （P<0.01）， increased retinal thickness and vascular density （P<0.01）， alleviated retinal pathological damage， and down‑regulated mRNA expression of NLRP3， Caspase‑1， GSDMD， IL‑1β， IL‑18， as well as protein expression of NLRP3， ASC， cleaved Caspase‑1， and GSDMD‑N （P<0.05， P<0.01）. ConclusionQiju Dihuang Wan may exert protective effects against diabetic retinopathy by inhibiting the activation of the NLRP3/Caspase-1/GSDMD signaling pathway and alleviating high glucose-induced retinal pyroptosis.

Metabolic dysfunction-associated fatty liver disease （MAFLD） is the most prevalent chronic liver disease worldwide， with a complex pathogenesis. Mitochondria play a pivotal role in this disease process， and studies have confirmed that mitochondrial dysfunction can exacerbate metabolic disorders and induce innate immune imbalance， while mitochondrial DNA （mtDNA） is the core molecule mediating these two pathological effects. After the abnormal release of mtDNA， it can be recognized by intracellular pattern recognition receptors， which in turn triggers innate immune responses and causes tissue damage， forming a pathological pathway of “mtDNA release-immune activation-tissue damage”. Currently， there is a lack of systematic reviews summarizing the mechanism of action of this pathway in different stages of MAFLD and the intervention strategies targeting this pathway. This article systematically reviews the core molecular mechanism of this pathway， its pathological role in the development and progression of MAFLD， and the current intervention strategies targeting this mechanism， in order to provide a theoretical basis for analyzing the pathogenesis of MAFLD and developing novel therapeutic strategies.

ObjectiveTo analyze the distribution characteristics of traditional Chinese medicine （TCM） syndrome elements in different risk populations of heart failure complicated with type 2 diabetes. MethodsClinical data of 675 type 2 diabetes patients were retrospectively collected. Lasso-multivariate Logistic regression was used to construct a clinical prediction nomogram model. Based on this， 441 non-heart failure patients were divided into a low-risk group （325 cases） and a high-risk group （116 cases） according to the median risk score of heart failure complicated with type 2 diabetes. TCM diagnostic information （four diagnostic methods） was collected for both groups， and factor analysis was applied to summarize the distribution of TCM syndrome elements in different risk populations. ResultsLasso-multivariate Logistic regression analysis identified age， disease duration， coronary heart disease， old myocardial infarction， arrhythmia， absolute neutrophil count， activated partial thromboplastin time， and α-hydroxybutyrate dehydrogenase as independent risk factors for heart failure complicated with type 2 diabetes. These were used as final predictive factors to construct the nomogram model. Model validation results showed that the area under the curve （AUC） of the receiver operating characteristic （ROC） curve for the modeling group and validation group were 0.934 and 0.935， respectively. The Hosmer-Lemeshow test （modeling group P = 0.996， validation group P = 0.121） indicated good model discrimination. Decision curve analysis showed that the curves for All and None crossed in the upper right corner， indicating high clinical utility. The low-risk and high-risk groups each obtained 14 common factors. Preliminary analysis revealed that the main disease elements in the low-risk group were qi deficiency （175 cases， 53.85%）， dampness （118 cases， 36.31%）， and heat （118 cases， 36.31%）， with the primary locations in the spleen （125 cases， 38.46%） and lungs （99 cases， 30.46%）. In the high-risk group， the main disease elements were yang deficiency （73 cases， 62.93%）， blood stasis （68 cases， 58.62%）， and heat （49 cases， 42.24%）， with the primary locations in the kidney （84 cases， 72.41%） and heart （70 cases， 60.34%）. ConclusionThe overall disease characteristics in different risk populations of type 2 diabetes patients with heart failure are a combination of deficiency and excess， with deficiency being predominant. Deficiency and heat are present throughout. The low-risk population mainly shows qi deficiency with dampness and heat， related to the spleen and lungs. The high-risk population shows yang deficiency with blood stasis and heat， related to the kidneys and heart.

ObjectiveTo study the effect of Taikong Yangxin Pills on the metabolism of simulated weightless rats based on metabolomics and discuss the metabolism mechanism. MethodsIn the simulated space capsule environment on the ground， the rat model of simulated weightlessness was established by the tail suspension method. Rats were randomly grouped as follows： out-of-capsule control， in-capsule control， model， and high （3.0 g·kg^-1） and low （1.5 g·kg^-1） doses of Taikong Yangxin Pills， and they were administrated with corresponding drugs by gavage for 28 days. The serum levels of endogenous metabolites in rats were determined by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF/MS）. The obtained data were processed by principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） to screen for differential metabolites and potential biomarkers. MetaboAnalyst 5.0 was used for pathway enrichment analysis to explain the metabolic regulation mechanism of the drug. ResultsCompared with the out-of-capsule control group， the in-capsule control group showed elevated levels of thirteen metabolites， including 14-hydroxyhexadecanoic acid， linoleic acid， and α-linolenic acid （P<0.05）， which suggested that the space capsule environment mainly affected the metabolism of α-linolenic acid and linoleic acid in the rats. Compared with the in-capsule control group， the model group showed lowered levels of fourteen metabolites， including 4-imidazolone-5-propionic acid， isocitric acid/citric acid， and L-tyrosine （P<0.05）， which were recovered after the treatment with Taikong Yangxin pills （P<0.05）. The pathway enrichment analysis revealed that weightlessness induced by tail suspension and drug intervention mainly involved the phenylalanine， tyrosine， and tryptophan biosynthesis， tyrosine metabolism， histidine metabolism， and citric acid cycle. ConclusionThe simulated space capsule environment and simulated weightlessness induced by tail suspension can both affect the metabolism level of rats. Taikong Yangxin pills can ameliorate the metabolic abnormality in the rat model of weightlessness by regulating various amino acids and energy metabolism-related pathways.

During long-duration manned space missions, the complex and extreme space environment exerts significant impacts on astronauts' physiological, psychological, and cognitive functions, thereby posing direct risks to mission safety and operational efficiency. As a key bridge between the brain and external devices, brain-computer interface (BCI) technology enables precise acquisition and interpretation of neural signals, offering a novel paradigm for human-machine collaboration in manned spaceflight. Non-invasive BCI technology shows broad application prospects across astronaut selection, mission training, in-orbit task execution, and post-mission rehabilitation. During mission preparation, multimodal signal assessment and neurofeedback training based on BCI can effectively enhance cognitive performance and psychological resilience. During mission execution, BCI can provide real-time monitoring of physiological and psychological states and enable intention-based device control, thereby improving operational efficiency and safety. In the post-mission rehabilitation phase, non-invasive BCI combined with neuromodulation may improve emotional and cognitive functions, support motor and cognitive recovery, and contribute to long-term health management. However, the application of BCI in space still faces challenges, including insufficient signal robustness, limited system adaptability, and suboptimal data processing efficiency. Looking forward, integrating multimodal physiological sensors with deep learning algorithms to achieve accurate monitoring and individualized intervention, and combining BCI with virtual reality and robotics to develop intelligent human-machine collaboration models, will provide more efficient support for space missions.
Brain-Computer Interfaces ; Humans ; Space Flight ; Astronauts/psychology* ; Neurofeedback ; Cognition ; Electroencephalography ; Man-Machine Systems