To evaluate the clinical value of nebulized indocyanine green(ICG) combined with near-infrared fluorescence imaging for intraoperative detection of air leaks during pulmonary resection.

ObjectiveTo explore the mechanism through which Banxia Baizhu Tianmatang ameliorates cognitive impairment in epileptic rats induced by lithium chloride-pilocarpine by regulating the neuroinflammatory reaction mediated by NOD-like receptor protein 3 （NLRP3） inflammasomes. MethodsSixty male SD rats were randomly allocated into blank， model， carbamazepine （0.125 g·kg^-1·d^-1）， Banxia Baizhu Tianmatang （1.04 g·kg^-1·d^-1）， and carbamazepine （0.125 g·kg^-1·d^-1） + Banxia Baizhu Tianmatang （1.04 g·kg^-1·d^-1） groups （n=12）. After the modeling of epilepsy， rats were administrated with corresponding agents by gavage for 12 weeks. At the 6th and 12th week of the intervention， the rats’ hyper-excited behavior was evaluated by the stylus experiment， and at the 12^th week of intervention， the cognitive function was evaluated by Barnes maze. At the same time， the seizure frequency and severity grade （Racine score） were recorded. The serum and hippocampus tissue samples were collected after anesthesia for the following tests. Nissl staining was used to evaluate the degree of neuronal damage in the hippocampal CA1 area. The content of malondialdehyde （MDA） in the hippocampus was determined by the thiobarbituric acid （TBA） method. Serum levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-18 （IL-18） were quantified by enzyme-linked immunosorbent assay （ELISA）. Immunohistochemical method was adopted to detect the expression of apoptosis-associated speck-like protein containing a card （ASC） in the hippocampus. Western blot was employed to quantitatively analyze the protein levels of NLRP3， cysteinyl aspartate-specific proteinase-1 （Caspase-1）， and brain-derived neurotrophic factor （BDNF） in the hippocampus. ResultsThe model group showed increased stylus scores at the 6th and 12^th week after modeling， a decreased Barnes maze strategy score at the 12^th week， a prolonged incubation period （P<0.05）， elevated serum levels of inflammatory factors （P<0.05）， decreased neurons with scattered arrangement and large gaps in the hippocampus， increased content of MDA in the hippocampus （P<0.05）， an increased positive expression of ASC， and up-regulated protein levels of Caspase-1， NLRP3， and BDNF （P<0.05）. Compared with the model group， the intervention with Banxia Baizhu Tianmatang for 12 weeks was accompanied by a decreased stylus score， epileptic seizures with a decreased score， a decreased number， and shortened duration， an increased Barnes maze strategy score， shortened escape latency （P<0.01）， declined serum levels of inflammatory factors （P<0.05）， regular morphology of hippocampal neurons， reduced MDA content in the hippocampus （P<0.05）， a decreased positive expression of ASC， and down-regulated protein levels of Caspase-1， NLRP3， and BDNF （P<0.05， P<0.01）. In addition， compared with the carbamazepine group， Banxia Baizhu Tianmatang + carbamazepine showed improved performance in controlling the seizure， improved the cognitive behavior score and morphology of hippocampal neurons， alleviated the oxidative stress products， lowered the levels of inflammatory factors， reduced the positive expression of ASC in the hippocampus， and down-regulated the expression of Caspase-1， NLRP3 and BDNF， with no significant differences. ConclusionBanxia Baizhu Tianmatang may reduce neuroinflammation， control epileptic seizures， and ameliorate cognitive impairment by inhibiting the expression of NLRP3 inflammasomes.

Objective: This prospective study evaluated the feasibility of chemical exchange saturation transfer (CEST) MRI for assessing disease activity in thyroid-associated ophthalmopathy (TAO). Materials and Methods: A total of 88 patients with active TAO, 76 with inactive TAO, and 30 healthy controls were enrolled. CEST MRI-derived magnetization transfer ratio (MTR) and MTR asymmetry (MTRasym) at 1 ppm, 2 ppm, and 3.5 ppm were calculated. Clinical data, MTR, and MTRasym values for the extraocular muscles (one representative muscle per eye, yielding two measurements per participant) were compared among the groups. Spearman’s correlation was used to examine associations between imaging parameters and the clinical activity score (CAS) in patients with TAO. Logistic regression analysis was used to identify independent associations between imaging parameters and disease activity in patients with TAO (active vs. inactive). Receiver operating characteristic (ROC) analysis was conducted to evaluate the diagnostic performance for discriminating active from inactive TAO. Results: Patients with active TAO showed lower MTR values (P < 0.001) and higher MTRasym (1 ppm), MTRasym (2 ppm), and MTRasym (3.5 ppm) (all P < 0.001) compared with those with inactive TAO. MTR was negatively correlated with CAS (r = -0.402; P < 0.001), while MTRasym (1 ppm), MTRasym (2 ppm), and MTRasym (3.5 ppm) were positively correlated with CAS (r = 0.369, 0.350, and 0.349, respectively;all P < 0.001). MTR and MTRasym (1 ppm) were independently associated with TAO activity. The areas under the ROC curve (AUCs) for MTR and MTRasym (1 ppm) in discriminating active from inactive TAO were 0.772 and 0.730, respectively. Combining MTR with MTRasym (1 ppm) significantly improved diagnostic performance compared with either parameter alone, achieving an AUC of 0.805 (P = 0.029 and 0.001). Conclusion MTR and MTRasym (1 ppm) were independently associated with TAO activity. Their combination further enhanced diagnostic performance in distinguishing active from inactive TAO, suggesting their potential as quantitative imaging biomarkers to guide treatment in patients with TAO.

Objective To systematically evaluate the similarities between six-gene-modified pig red blood cells and human red blood cells in multiple dimensions, including cell morphology, hematological parameters, microbial safety and serological compatibility, and to verify the feasibility of using six-gene-modified pig red blood cells as an alternative for blood transfusion in cases of traumatic hemorrhage. Methods Blood samples from O-type human donor, six-gene-modified O-type pig and wild-type O-type pig were collected. The pig gene-modified phenotype was identified by flow cytometry. The morphology was observed using field emission scanning electron microscopy and the diameter was measured. Hematological tests, including blood routine, osmotic fragility test, adenosine triphosphate (ATP) and 2,3-diphosphoglycerate (2,3-DPG) content and partial pressure of oxygen at 50% hemoglobin saturation (P50), were conducted to assess the deformability of red blood cells. Real-time fluorescent quantitative polymerase chain reaction was used to screen for zoonotic viruses, and cross-matching was performed using column gel method, condensation amine method and saline tube method. Results The six-gene-modified pig red blood cells successfully knocked out the α-Gal, Neu5Gc and Sda antigens and expressed hCD55. Wild-type pig red blood cells expressed these three antigens but did not express human complement regulatory proteins. All three types of red blood cells presented a biconcave discoid morphology. The diameter of O-type human red blood cells was larger than that of the six-gene-modified porcine red blood cells and wild-type pig red blood cells (all P < 0.05). The average red blood cell volume and average red blood cell hemoglobin of O-type humans were higher than those of the six-gene-modified pig red blood cells, and the distribution width-variable coefficient of O-type human red blood cells was lower than that of the six-gene-modified pig red blood cells (all P < 0.05). There were no statistically significant differences in the permeability fragility, ATP content, 2,3-DPG content, P50 and red blood cell deformability indicators of the three types of red blood cells (all P > 0.05). The screening for zoonotic viruses in human and animal cells of the six-gene-modified pigs and wild-type pigs was negative. The cross-matching results showed that in the column gel method and condensation amine method, the primary and secondary sides of the six-gene-modified pig red blood cells did not agglutinate with human red blood cells, while the wild-type pig red blood cells agglutinated with human red blood cells in all cross-matching methods. Conclusions The six-gene-modified pig red blood cells are highly similar to human red blood cells in terms of morphology, key hematological parameters, energy metabolism, oxygen-carrying capacity, mechanical properties, microbial safety and serological compatibility, providing an experimental basis for the clinical transformation of xenotransfusion.

Under the current upsurge of cross-disciplinary research between artificial intelligence （AI） and traditional Chinese medicine （TCM）， the inheritance of academic thought in TCM is confronted with the deep-seated predicament of cognitive paradigm dislocation. The existing AI model is based on the classical reasoning mode of formal logic and statistical probability， which is difficult to adapt to the nonlinear and holistic cognitive logic of TCM with image-based thinking and syndrome-differentiated treatment as the core， resulting in systematic misreading and loss of the core essence in digital inheritance. Based on this， this paper proposes to construct a new cognitive model oriented towards the context of TCM. Its essence is not to have AI imitate the thinking of TCM， but to establish an auxiliary understanding framework based on semantic mapping and relational reasoning. It is advocated that the role of AI should be reconstructed from a knowledge substitute to a clinical interactor， and its application boundary in the inheritance of TCM wisdom should be clarified. By establishing the theoretical framework and practical path of human-computer collaboration， this paper aims to provide a scientific basis for realizing the deep integration of AI technology and the academic thought in TCM.

Under the current upsurge of cross-disciplinary research between artificial intelligence （AI） and traditional Chinese medicine （TCM）， the inheritance of academic thought in TCM is confronted with the deep-seated predicament of cognitive paradigm dislocation. The existing AI model is based on the classical reasoning mode of formal logic and statistical probability， which is difficult to adapt to the nonlinear and holistic cognitive logic of TCM with image-based thinking and syndrome-differentiated treatment as the core， resulting in systematic misreading and loss of the core essence in digital inheritance. Based on this， this paper proposes to construct a new cognitive model oriented towards the context of TCM. Its essence is not to have AI imitate the thinking of TCM， but to establish an auxiliary understanding framework based on semantic mapping and relational reasoning. It is advocated that the role of AI should be reconstructed from a knowledge substitute to a clinical interactor， and its application boundary in the inheritance of TCM wisdom should be clarified. By establishing the theoretical framework and practical path of human-computer collaboration， this paper aims to provide a scientific basis for realizing the deep integration of AI technology and the academic thought in TCM.

OBJECTIVE To investigate the potential mechanism of epigallocatechin gallate （EGCG） enhancing the sensitivity of hepatocellular carcinoma （HCC） cells to lenvatinib based on the phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. METHODS Five human HCC cell lines （HepG2， Huh-7， SMMC-7721， SNU-368 and SNU-739） were used to evaluate the effects of lenvatinib alone and in combination with EGCG on survival rates， clone number， proliferation rate， invasion number and the expressions of mRNAs and proteins related to the PI3K/Akt signaling pathway. The PI3K activator insulin-like growth factor-1 （IGF-1） was introduced to investigate the effect of activating the PI3K/Akt signaling pathway on the sensitization effect of EGCG. RESULTS Compared with the control group， lenvatinib （10 μmol/L） and different concentrations of EGCG+ lenvatinib （1， 5 and 10 μg/mL EGCG+10 μmol/L lenvatinib） significantly reduced the survival rates and clone numbers of all five HCC cell lines in a dose-dependent manner （P＜0.05）. Lenvatinib （10 μmol/L） and EGCG+lenvatinib （10 μg/mL EGCG+10 μmol/L lenvatinib） also markedly inhibited the proliferation rate and invasion numbers of these cells， and decreased the mRNA expressions of PI3K， Akt， mammalian target of rapamycin （mTOR）， P70S6K and 4EBP， and the phosphorylation levels of PI3K and Akt， as well as the protein expressions of mTOR and B cell lymphoma-2 （Bcl-2） in HepG2 cells or all five HCC cells； conversely， the mRNA and protein expressions of phosphatase and tensin homologue deleted on chromosome 10（PTEN）， and the protein expressions of caspase-3 and cleaved caspase-3 were significantly upregulated， with more pronounced effects observed in the EGCG+lenvatinib group than in the lenvatinib group （P＜0.05）. Compared with the lenvatinib group and the EGCG+lenvatinib group， the clone number， proliferation rate and invasion number of HepG2 cells in the EGCG+lenvatinib+IGF-1 group （10 μg/mL EGCG+10 μmol/L lenvatinib+50 ng/mL IGF-1） were significantly increased （P＜0.05）. CONCLUSIONS EGCG can enhance the sensitivity of HCC cells to lenvatinib， and its underlying mechanism may be related to the inhibition of the activation of PI3K/Akt signaling pathway activation.

OBJECTIVE To provide a reference for optimizing and promoting the quality standards of Shechuan naolitong granules. METHODS Fifteen batches of Shechuan naolitong granules were used as samples to establish HPLC fingerprints using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 edition）. Similarity evaluation and common peak identification were performed， and orthogonal partial least squares discriminant analysis （OPLS-DA） was used to assess quality differences among different batches and to screen quality differential components. Using salvianolic acid B（SAB） as the internal reference， quantitative analysis of multi-components by single-marker （QAMS） was developed to simultaneously determine geniposidic acid （GA）， chlorogenic acid （CA）， vaccarin （VA）， ferulic acid （FA） and senkyunolide I （SI）. The results were compared with those obtained by the external standard method. RESULTS A total of 13 common peaks were identified in the HPLC fingerprints of 15 batches of samples， and the similarities of the spectra were all above 0.96. Seven chromatographic peaks were identified as GA （peak 3）， CA （peak 6）， VA （peak 8）， FA （peak 9）， SI （peak 11）， SAB（peak 12） and TA（peak 13）. OPLS-DA indicated that the differential quality markers among 15 batches were peaks 5， 11 （SI）， and 12 （SAB）.Using SAB as the internal reference， the relative correction factors for GA， CA， VA， FA and SI were calculated as 1.058 4， 0.594 3， 0.643 3， 0.342 7 and 0.262 8， respectively. The mean content of GA， CA， VA， FA， SI and SAB across the 15 batches of samples were 0.155 0， 0.085 4， 0.140 3， 0.071 8， 0.072 7， 1.276 3 mg/g， respectively， showing no significant difference compared with the ESM （P＞0.05）. CONCLUSIONS The established HPLC fingerprint and QAMS are simple， efficient and economical， providing a reference for the quality control and further development of Shechuan naolitong granules.

BACKGROUND: T cell dysfunction, which includes exhaustion, anergy, and senescence, is a distinct T cell differentiation state that occurs after antigen exposure. Although T cell dysfunction has been a cornerstone of cancer immunotherapy, its potential in transplant research, while not yet as extensively explored, is attracting growing interest. Interferon regulatory factor 4 (IRF4) has been shown to play a pivotal role in inducing T cell dysfunction. METHODS: A novel ultra-low-dose combination of Trametinib and Rapamycin, targeting IRF4 inhibition, was employed to investigate T cell proliferation, apoptosis, cytokine secretion, expression of T-cell dysfunction-associated molecules, effects of mitogen-activated protein kinase (MAPK) and mammalian target of rapamycin (mTOR) signaling pathways, and allograft survival in both in vitro and BALB/c to C57BL/6 mouse cardiac transplantation models. RESULTS: In vitro , blockade of IRF4 in T cells effectively inhibited T cell proliferation, increased apoptosis, and significantly upregulated the expression of programmed cell death protein 1 (PD-1), Helios, CD160, and cytotoxic T lymphocyte-associated antigen (CTLA-4), markers of T cell dysfunction. Furthermore, it suppressed the secretion of pro-inflammatory cytokines interferon (IFN)-γ and interleukin (IL)-17. Combining ultra-low-dose Trametinib (0.1 mg·kg -1 ·day -1 ) and Rapamycin (0.1 mg·kg -1 ·day -1 ) demonstrably extended graft survival, with 4 out of 5 mice exceeding 100 days post-transplantation. Moreover, analysis of grafts at day 7 confirmed sustained IFN regulatory factor 4 (IRF4) inhibition, enhanced PD-1 expression, and suppressed IFN-γ secretion, reinforcing the in vivo efficacy of this IRF4-targeting approach. The combination of Trametinib and Rapamycin synergistically inhibited the MAPK and mTOR signaling network, leading to a more pronounced suppression of IRF4 expression. CONCLUSIONS Targeting IRF4, a key regulator of T cell dysfunction, presents a promising avenue for inducing transplant immune tolerance. In this study, we demonstrate that a novel ultra-low-dose combination of Trametinib and Rapamycin synergistically suppresses the MAPK and mTOR signaling network, leading to profound IRF4 inhibition, promoting allograft acceptance, and offering a potential new therapeutic strategy for improved transplant outcomes. However, further research is necessary to elucidate the underlying pharmacological mechanisms and facilitate translation to clinical practice.
Animals ; Mice ; Mice, Inbred BALB C ; Mice, Inbred C57BL ; Interferon Regulatory Factors/metabolism* ; Heart Transplantation/methods* ; T-Lymphocytes/immunology* ; Sirolimus/therapeutic use* ; Pyridones/therapeutic use* ; Graft Survival/drug effects* ; Pyrimidinones/therapeutic use* ; Cell Proliferation/drug effects* ; Apoptosis/drug effects* ; Male ; Signal Transduction/drug effects*

BACKGROUND: There is little literature describing the artificial intelligence (AI)-aided diagnosis of severe pneumonia (SP) subphenotypes and the association of the subphenotypes with the ventilatory treatment efficacy. The aim of our study is to illustrate whether clinical and biological heterogeneity, such as ventilation and gas-exchange, exists among patients with SP using chest computed tomography (CT)-based AI-aided latent class analysis (LCA). METHODS: This retrospective study included 413 patients hospitalized at Xinhua Hospital diagnosed with SP from June 1, 2015 to May 30, 2020. AI quantification results of chest CT and their combination with additional clinical variables were used to develop LCA models in an SP population. The optimal subphenotypes were determined though evaluating statistical indicators of all the LCA models, and clinical implications of them such as guiding ventilation strategies were further explored by statistical methods. RESULTS: The two-class LCA model based on AI quantification results of chest CT can describe the biological characteristics of the SP population well and hence yielded the two clinical subphenotypes. Patients with subphenotype-1 had milder infections ( P <0.001) than patients with subphenotype-2 and had lower 30-day ( P <0.001) and 90-day ( P <0.001) mortality, and lower in-hospital ( P = 0.001) and 2-year ( P <0.001) mortality. Patients with subphenotype-1 showed a better match between the percentage of non-infected lung volume (used to quantify ventilation) and oxygen saturation (used to reflect gas exchange), compared with patients with subphenotype-2. There were significant differences in the matching degree of lung ventilation and gas exchange between the two subphenotypes ( P <0.001). Compared with patients with subphenotype-2, those with subphenotype-1 showed a relatively better match between CT-based AI metrics of the non-infected region and oxygenation, and their clinical outcomes were effectively improved after receiving invasive ventilation treatment. CONCLUSIONS A two-class LCA model based on AI quantification results of chest CT in the SP population particularly revealed clinical heterogeneity of lung function. Identifying the degree of match between ventilation and gas-exchange may help guide decisions about assisted ventilation.
Humans ; Tomography, X-Ray Computed/methods* ; Male ; Female ; Retrospective Studies ; Middle Aged ; Artificial Intelligence ; Aged ; Pneumonia/diagnosis* ; Latent Class Analysis ; Adult