Objective To explore the feasibility of using high-definition thoracoscopy to identify sympathetic ganglia during thoracic sympathicotomy for primary palmar hyperhidrosis. Methods The clinical data of patients with primary palmar hyperhidrosis who underwent high-definition thoracoscopic sympathicotomy in Taikang Xianlin Drum Tower Hospital from June to July 2023 were retrospectively analyzed. Intraoperative visualization rates and anatomical variations of sympathetic ganglia were recorded, and the consistency between white-light thoracoscopy and near-infrared fluorescence imaging was compared. Additionally, surgical videos from previous fluorescence-guided procedures were reviewed. Results Finally 100 patients were collected, including 54 females and 46 males, with an average age of (21.92±6.56) years. All patients underwent endoscopic thoracic sympathicotomy at R3 level. The overall intraoperative ganglion visualization rate was 92.5% (740/800), with G2-G5 rates of 95.5% (191/200), 94.0% (188/200), 94.0% (188/200), and 86.5% (173/200), respectively. Ganglion variations occurred in 32.0% (237/740), predominantly at G3 (29.8%) and G4 (42.6%). In 5 indocyanine green-enhanced patients, the concordance rate between white-light and near-infrared fluorescence imaging was 100.0% (38/38). Video analysis of 14 near-infrared fluorescence-guided surgeries demonstrated a 99.1% (107/108) consistency rate. Postoperative palmar hyperhidrosis improvement reached 100.0% (100/100) with no Horner’s syndrome. Conclusion With the wide clinical application of high-definition thoracoscopy, accurate thoracic sympathicotomy has the feasibility of clinical application.

As the brain's resident immune cells, microglia perform crucial functions such as phagocytosis, neuronal network maintenance, and injury restoration by adopting various phenotypes. Dynamic imaging of these phenotypes is essential for accessing brain diseases and therapeutic responses. Although numerous probes are available for imaging pro-inflammatory microglia, no PET tracers have been developed specifically to visualize anti-inflammatory microglia. In this study, we present an ¹⁸F-labeled PET tracer (QTFT) that targets the P2Y₁₂, a receptor highly expressed on anti-inflammatory microglia. [¹⁸F]QTFT exhibited high binding affinity to the P2Y₁₂ (14.43 nmol/L) and superior blood-brain barrier permeability compared to other candidates. Micro-PET imaging in IL-4-induced neuroinflammation models showed higher [¹⁸F]QTFT uptake in lesions compared to the contralateral normal brain tissues. Importantly, this specific uptake could be blocked by QTFT or a P2Y₁₂ antagonist. Furthermore, [¹⁸F]QTFT visualized brain lesions in mouse models of epilepsy, glioma, and aging by targeting the aberrantly expressed P2Y₁₂ in anti-inflammatory microglia. In a pilot clinical study, [¹⁸F]QTFT successfully located epileptic foci, showing enhanced radioactive signals in a patient with epilepsy. Collectively, these studies suggest that [¹⁸F]QTFT could serve as a valuable diagnostic tool for imaging various brain disorders by targeting P2Y₁₂ overexpressed in anti-inflammatory microglia.

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-target networks(DTNs),which could provide a promising avenue in network medicine.We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework,for drug repurposing of multiple sclerosis(MS).First,the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes.Then,based on topological analysis and functional annotation,the neurotransmission module was identified as the"therapeutic module"of MS.Further,perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis,giving a list of repurposable drugs for MS.Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of se-rotonin 2B receptor(HTR2B).Finally,we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex.These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS.As a useful systematic method,our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

Objective To investigate the correlation between dual-energy computed tomography angiography(CTA)parameters of carotid plaques and acute stroke events.Methods A retrospective analysis was conducted on the clinical and imaging data of patients who underwent dual-energy head and neck CTA and brain MRI scans.Utilizing the Siemens workstation(Syngo.Via VB40B),region of interest(ROI)were placed on the thickest slice of the carotid plaque in the axial plane to obtain parameters such as fat fraction(FF),virtual non-contrast(VNC)value,iodine concentration(IC),electron density(Rho),effective atomic number(Zeff),dual energy index(DEI),spectral curve,and corresponding CT values at 40 keV(40 keVHU)and 90 keV(90 keVHU).The slope of the energy spectrum curve(λ)was calculated within the 40 keV-90 keV range.Patients with acute cerebral infarction(ACI)in the ipsilateral anterior circulation territory were classified into the ACI group,while those without were classified into the non-acute cerebral infarction(NACI)(NACI group).Qualitative data were analyzed using the x2 test,and quantitative data were analyzed using the t-test.The predictive performance was assessed using the area under the curve(AUC)of the receiver operating characteristic(ROC)curve,and the differences between different ROC curves were compared using the DeLong test.Results A total of 72 patients were included,with 21 in the ACI group and 51 in the NACI group.The mean values of FF,Zeff,and 40 keVHU in the ACI group were greater than those in the NACI group.Statistically significant differences were observed between the groups for Zeff,DEI,40 keVHU,and λ(P＜0.05).40 keVHU demonstrated the highest predictive performance,and the AUC,sensitivity,and specificity was 0.789,81.0％,and 74.5％,respectively.A combined variable constructed through logistic regression analysis yielded an AUC,sensitivity,and specificity of 0.796,85.7％,and 70.6％,respectively,with no significant statistical differences compared to single factor variables.Conclusion Dual-energy CTA parameters of carotid plaques may aid in predicting intraplaque hemorrhage(IPH)and the occurrence of acute stroke events.

Barrett's esophagus(BE),a precancerous state of esophageal adenocarcinoma,poses a major challenge for prevention and treatment owing to its complex mechanism of inflammation-cancer transformation and the lack of effective clinical treatment and torsion strategies.Building upon the"preventing disease progression"theory,this study aimed to address the critical clinical challenge of intercepting the pathological progression during the inflammation-cancer transformation of BE by proposing an innovative"two critical nodes-three stages"pathomechanism framework.The pathogenesis of BE originates from liver depression and qi stagnation.The pathological progression evolves through two critical nodes:liver depression transforming into heat and heat transforming into blood stasis,representing a three-stage evolutionary pattern of qi stagnation,heat transformation,and blood stasis formation.Acidic bile salts,acting as a pathogenic toxin,permeate the entire process and catalyze carcinogenesis.Based on this understanding,the therapeutic principles of"treatment from the liver"and"truncation and torsion"were established,emphasizing stage-specific interventions.For the qi stagnation stage,treatment focuses on soothing the liver and regulating qi,as well as moistening,harmonizing,and descending the qi.This is achieved by combining modified Chaihu Shugan Powder with Xuanfu Daizhe Decoction,while using pungent and drying herbs cautiously and supplementing them with light and floral herbs.In the heat transformation stage,the strategy aims to clear the liver and drain heat while protecting yin and harmonizing the stomach,employing modified Huaganjian combined with Yiguanjian and supplemented with Jinlingzi Powder to clear depressed fire.For the blood stasis formation stage,treatment involves activating blood and resolving stasis,combined with supporting healthy qi and removing toxins.This is achieved using a modified Gexia Zhuyu Decoction,supplemented with Liujunzi Decoction,and additions such as Radix Salviae Miltiorrhizae and turtle carapace to disperse nodules and reduce masses.This theoretical framework establishes a diagnostic and therapeutic model characterized by the integration of disease mechanisms with pathology and the mutual reference of macro-level signs with micro-level indicators.It provides a comprehensive clinical practice pathway,complete with principles,methods,formulas,and herbs,for the stage-specific interception of inflammation-cancer transformation in BE using traditional Chinese medicine.

Barrett's esophagus(BE),a precancerous state of esophageal adenocarcinoma,poses a major challenge for prevention and treatment owing to its complex mechanism of inflammation-cancer transformation and the lack of effective clinical treatment and torsion strategies.Building upon the"preventing disease progression"theory,this study aimed to address the critical clinical challenge of intercepting the pathological progression during the inflammation-cancer transformation of BE by proposing an innovative"two critical nodes-three stages"pathomechanism framework.The pathogenesis of BE originates from liver depression and qi stagnation.The pathological progression evolves through two critical nodes:liver depression transforming into heat and heat transforming into blood stasis,representing a three-stage evolutionary pattern of qi stagnation,heat transformation,and blood stasis formation.Acidic bile salts,acting as a pathogenic toxin,permeate the entire process and catalyze carcinogenesis.Based on this understanding,the therapeutic principles of"treatment from the liver"and"truncation and torsion"were established,emphasizing stage-specific interventions.For the qi stagnation stage,treatment focuses on soothing the liver and regulating qi,as well as moistening,harmonizing,and descending the qi.This is achieved by combining modified Chaihu Shugan Powder with Xuanfu Daizhe Decoction,while using pungent and drying herbs cautiously and supplementing them with light and floral herbs.In the heat transformation stage,the strategy aims to clear the liver and drain heat while protecting yin and harmonizing the stomach,employing modified Huaganjian combined with Yiguanjian and supplemented with Jinlingzi Powder to clear depressed fire.For the blood stasis formation stage,treatment involves activating blood and resolving stasis,combined with supporting healthy qi and removing toxins.This is achieved using a modified Gexia Zhuyu Decoction,supplemented with Liujunzi Decoction,and additions such as Radix Salviae Miltiorrhizae and turtle carapace to disperse nodules and reduce masses.This theoretical framework establishes a diagnostic and therapeutic model characterized by the integration of disease mechanisms with pathology and the mutual reference of macro-level signs with micro-level indicators.It provides a comprehensive clinical practice pathway,complete with principles,methods,formulas,and herbs,for the stage-specific interception of inflammation-cancer transformation in BE using traditional Chinese medicine.

Objective To investigate the correlation between dual-energy computed tomography angiography(CTA)parameters of carotid plaques and acute stroke events.Methods A retrospective analysis was conducted on the clinical and imaging data of patients who underwent dual-energy head and neck CTA and brain MRI scans.Utilizing the Siemens workstation(Syngo.Via VB40B),region of interest(ROI)were placed on the thickest slice of the carotid plaque in the axial plane to obtain parameters such as fat fraction(FF),virtual non-contrast(VNC)value,iodine concentration(IC),electron density(Rho),effective atomic number(Zeff),dual energy index(DEI),spectral curve,and corresponding CT values at 40 keV(40 keVHU)and 90 keV(90 keVHU).The slope of the energy spectrum curve(λ)was calculated within the 40 keV-90 keV range.Patients with acute cerebral infarction(ACI)in the ipsilateral anterior circulation territory were classified into the ACI group,while those without were classified into the non-acute cerebral infarction(NACI)(NACI group).Qualitative data were analyzed using the x2 test,and quantitative data were analyzed using the t-test.The predictive performance was assessed using the area under the curve(AUC)of the receiver operating characteristic(ROC)curve,and the differences between different ROC curves were compared using the DeLong test.Results A total of 72 patients were included,with 21 in the ACI group and 51 in the NACI group.The mean values of FF,Zeff,and 40 keVHU in the ACI group were greater than those in the NACI group.Statistically significant differences were observed between the groups for Zeff,DEI,40 keVHU,and λ(P＜0.05).40 keVHU demonstrated the highest predictive performance,and the AUC,sensitivity,and specificity was 0.789,81.0％,and 74.5％,respectively.A combined variable constructed through logistic regression analysis yielded an AUC,sensitivity,and specificity of 0.796,85.7％,and 70.6％,respectively,with no significant statistical differences compared to single factor variables.Conclusion Dual-energy CTA parameters of carotid plaques may aid in predicting intraplaque hemorrhage(IPH)and the occurrence of acute stroke events.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Colorectal cancer (CRC) is a prevalent malignant tumor often leading to liver metastasis and mortality. Despite some success with PD-1/PD-L1 immunotherapy, the response rate for colon cancer patients remains relatively low. This is closely related to the immunosuppressive tumor microenvironment mediated by tumor-associated macrophages (TAMs). Our previous work identified that a phosphoglycerate mutase 1 (PGAM1) allosteric inhibitor, HKB99, exerts a range of anti-tumor activities in lung cancer. Here, we found that upregulation of PGAM1 correlates with increased levels of M2-like tumor-associated macrophages (TAMs) in human colon cancer samples, particularly in liver metastatic tissues. HKB99 suppressed tumor growth and metastasis in cell culture and syngeneic tumor models. M2-polarization, induced by colon cancer cell co-culture, was reversed by HKB99. Conversely, the increased migration of colon cancer cells by M2-TAMs was remarkably restrained by HKB99. Notably, a decrease in TAM infiltration was required for the HKB99-mediated anti-tumor effect, along with an increase in CD8⁺ T cell infiltration. Moreover, HKB99 improved the efficacy of anti-PD-1 treatment in syngeneic tumors. Overall, this study highlights HKB99's inhibitory activity in TAM-mediated colon cancer progression. Targeting PGAM1 could lead to novel therapeutic strategies and enhance the effectiveness of existing immunotherapies for colon cancer.