ObjectiveThrough qualitatively and quantitatively analysis of the differences in chemical composition between the combined decoction and single decoction of Huaganjian and comparison of their core efficacy， to explore the rationality of the flexible clinical application of Huaganjian compound preparations and single-flavored dispensing granules. MethodsUltra performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Exactive Orbitrap MS） was used to qualitatively analyze the combined decoction and single decoction samples of Huaganjian， and meanwhile， the contents of four index components（geniposide， paeoniflorin， hesperidin and paeonol） were quantitatively analyzed by high performance liquid chromatography（HPLC）. Nonalcoholic fatty liver disease（NAFLD） rat model induced by high-fat diet was applied to compare the efficacy of combined decoction and single decoction of Huaganjian. A total of 30 male SD rats were randomly divided into the control group， model group， lovastatin group（1.8 mg·kg^-1）， combined decoction group（1.26 g·kg^-1） and single decoction group（1.18 g·kg^-1）. After successful modeling， lovastatin group， combined decoction group and single decoction group were given corresponding doses of drugs by intragastric administration every day， and the control group and model group were given equal amounts of normal saline by intragastric administration， after 4 weeks of administration， the serum and liver tissues were collected， and the contents of alanine aminotransferase（ALT）， aspartate aminotransferase（AST）， total cholesterol（TC）， triglyceride（TG）， low-density lipoprotein cholesterol（LDL-C） and high-density lipoprotein cholesterol（HDL-C） in serum of rats were detected， and the liver pathological examination was carried out by hematoxylin-eosin（HE） staining and oil red O staining， so as to compare differences of their efficacy. ResultsSeventy chemical components were initially identified and attributed from the lyophilized powder of the combined decoction and single decoction samples of Huaganjian， and there was no obvious difference in composition between the two. Further quantitative analysis showed that the contents of geniposide， paeoniflorin， hesperidin and paeonol in the combined decoction samples were significantly increased when compared with those of the single decoction samples（P<0.01）. The pharmacodynamic results showed that compared with the model group， both the combined and single decoction groups of Huaganjian could improve the liver index of NAFLD rats， reduce the serum levels of AST， ALT， TC， TG and LDL-C， increase the serum level of HDL-C， and ameliorate the pathological changes of liver cell steatosis and fat accumulation. However， there was no significant difference in pharmacodynamic effects between the combined decoction group and the single decoction group. ConclusionThere is no significant difference between the combined decoction and single decoction of Huaganjian in terms of chemical composition， but the contents of the four index components show significantly difference. Both of them can significantly improve the fat accumulation and liver function in NAFLD rats. This study provides a reference basis for the rational clinical application and evaluation of famous classical formula compound preparations and single-flavored dispensing granules.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

Dormant tumor cells constitute a population of cancer cells that reside in a non-proliferative or low-proliferative state, typically arrested in the G0/G1 phase and exhibiting minimal mitotic activity. These cells are commonly observed across multiple cancer types, including breast, lung, and ovarian cancers, and represent a central cellular component of minimal residual disease (MRD) following surgical resection of the primary tumor. Dormant cells are closely associated with long-term clinical latency and late-stage relapse. Due to their quiescent nature, dormant cells are intrinsically resistant to conventional therapies—such as chemotherapy and radiotherapy—that preferentially target rapidly dividing cells. In addition, they display enhanced anti-apoptotic capacity and immune evasion, rendering them particularly difficult to eradicate. More critically, in response to microenvironmental changes or activation of specific signaling pathways, dormant cells can re-enter the cell cycle and initiate metastatic outgrowth or tumor recurrence. This ability to escape dormancy underscores their clinical threat and positions their effective detection and elimination as a major challenge in contemporary cancer treatment. Hypoxia, a hallmark of the solid tumor microenvironment, has been widely recognized as a potent inducer of tumor cell dormancy. However, the molecular mechanisms by which tumor cells sense and respond to hypoxic stress—initiating the transition into dormancy—remain poorly defined. In particular, the lack of a systems-level understanding of the dynamic and multifactorial regulatory landscape has impeded the identification of actionable targets and constrained the development of effective therapeutic strategies. Accumulating evidence indicates that hypoxia-induced dormancy tumor cells are accompanied by a suite of adaptive phenotypes, including cell cycle arrest, global suppression of protein synthesis, metabolic reprogramming, autophagy activation, resistance to apoptosis, immune evasion, and therapy tolerance. These changes are orchestrated by multiple converging signaling pathways—such as PI3K-AKT-mTOR, Ras-Raf-MEK-ERK, and AMPK—that together constitute a highly dynamic and interconnected regulatory network. While individual pathways have been studied in depth, most investigations remain reductionist and fail to capture the temporal progression and network-level coordination underlying dormancy transitions. Systems biology offers a powerful framework to address this complexity. By integrating high-throughput multi-omics data—such as transcriptomics and proteomics—researchers can reconstruct global regulatory networks encompassing the key signaling axes involved in dormancy regulation. These networks facilitate the identification of core regulatory modules and elucidate functional interactions among key effectors. When combined with dynamic modeling approaches—such as ordinary differential equations—these frameworks enable the simulation of temporal behaviors of critical signaling nodes, including phosphorylated AMPK (p-AMPK), phosphorylated S6 (p-S6), and the p38/ERK activity ratio, providing insights into how their dynamic changes govern transitions between proliferation and dormancy. Beyond mapping trajectories from proliferation to dormancy and from shallow to deep dormancy, such dynamic regulatory models support topological analyses to identify central hubs and molecular switches. Key factors—such as NR2F1, mTORC1, ULK1, HIF-1α, and DYRK1A—have emerged as pivotal nodes within these networks and represent promising therapeutic targets. Constructing an integrative, systems-level regulatory framework—anchored in multi-pathway coordination, omics-layer integration, and dynamic modeling—is thus essential for decoding the architecture and progression of tumor dormancy. Such a framework not only advances mechanistic understanding but also lays the foundation for precision therapies targeting dormant tumor cells during the MRD phase, addressing a critical unmet need in cancer management.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective:To evaluate the relationship between the mechanism of buprenorphine in attenuating neuroinflammation in microglia and the MAM domain-containing glycosylphosphatidylinositol anchor gene 1 ( MDGA1). Methods:The human microglial cell line HMC-3 was cultured in vitro and divided into 4 groups ( n=6 each) using a table of random numbers: control group (Con group), lipopolysaccharide(LPS)group, buprenorphine + LPS group (Bup+ LPS group) and buprenorphine + LPS + MDGA1 knockdown group (Bup+ LPS+ shMDGA1 group). LPS group was incubated with LPS at a final concentration of 1 μg/ml for 4 h. Bup+ LPS group was incubated with buprenorphine at a final concentration of 100 ng/ml for 1 h, followed by incubation with LPS at a final concentration of 1 μg/ml for 4 h. Bup+ LPS+ shMDGA1 group was transfected with MDGA1-specific shorthairpin RNA for knockdown, and the remaining treatment was similar to those previously described in Bup+ LPS group. The expression of MDGA1 in microglia was detected using real-time quantitative polymerase chain reaction, and the concentrations of interleukin (IL)-6, IL-1β, tumor necrosis factor-α (TNF-α), and inducible nitric oxide synthase (iNOS) in the supernatant were measured using enzyme-linked immunosorbent assay. Results:Compared with Con group, the concentrations of IL-6, IL-1β, TNF-α and iNOS in the supernatant were significantly increased, and the expression of MDGA1 in microglia was down-regulated in LPS group ( P<0.05). Compared with LPS group, the concentrations of IL-6, IL-1β, TNF-α and iNOS in the supernatant were significantly decreased, and the expression of MDGA1 in microglia was up-regulated in Bup+ LPS group ( P<0.05). Compared with Bup+ LPS group, the concentrations of IL-6, IL-1β, TNF-α and iNOS in the supernatant were significantly increased, and the expression of MDGA1 in microglia was down-regulated in Bup+ LPS+ sh MDGA1 group ( P<0.05). Conclusions:The mechanism by which buprenorphine alleviates neuroinflammation in microglia may be related to the up-regulation of the expression of MDGA1.

Objective To investigate the effects of regenerating islet-derived protein 3β(Reg3β)on intestinal function and glycolysis in septic mice,as well as its role in promoting lactylation.Methods ① In vivo experiments:a total of 36 adult male C57BL/6 mice,including wild-type(WT)and Reg3β knockout(KO)mice,were randomly divided into six groups using a random number table:WT sham group,WT cecal ligation and puncture(CLP)-induced sepsis group(WT CLP group),WT sham+Reg3β intervention group(WT sham group),WT CLP+Reg3β intervention group(WT CLP+Reg3β group),KO sham group,and KO CLP group(n=6 per group).Blood glucose levels were measured at 24 hours and 48 hours after modeling;At 48 hours after modeling,ileum tissues were collected for hematoxylin-eosin(HE)staining to observe histopathological changes,immunofluorescence staining was performed to assess the positive expression levels of lactylated proteins,Western blotting was used to detect the expression levels of lactylated proteins in ileum tissues.② In vitro experiments:Cultured RAW264.7 cells were randomly divided into four groups using a random number table:blank control group,lipopolysaccharide(LPS)-induced sepsis model group(LPS group),Reg3β group,and LPS+Reg3β group.After 24 hours of drug induction,cells were collected,and Western blotting was performed to measure the levels of lactylated proteins,the culture medium was collected to determine lactylation levels.Results ① Histopathological observations showed that compared with the WT CLP group,the WT CLP+Reg3β group exhibited milder villus breakage and inflammatory cell infiltration.The KO CLP group showed more severe damage,with significantly shortened intestinal villi and separation of the epithelial layer from the lamina propria.Compared with the WT CLP group,blood glucose levels were significantly higher in the KO CLP group(mmol/L:6.83±1.15 vs.4.78±1.37,P<0.05).Both Western blotting and immunofluorescence staining results indicated that,compared with the WT CLP group,lactylation levels were significantly decreased in the KO CLP group[lactylated protein expression(lactylated protein/β-actin):0.48±0.20 vs.0.78±0.09;positive lactylated protein expression(mean fluorescence intensity):59.84±6.02 vs.100.00±5.26,both P<0.01].② Western blotting results of RAW264.7 cells cultured for 24 hours showed that compared with the LPS group,the LPS+Reg3β group exhibited significantly increased lactylated protein expression levels(lactylated protein expression/β-actin:3.67±0.48 vs.1.64±0.49,P<0.01).Compared with the blank control group,the lactate levels in the culture medium of the LPS group were significantly increased(mmol/L:4.95±0.20 vs.3.82±0.09,P<0.01).Compared with the LPS group,the lactate levels in the culture medium of the LPS+Reg3β group were also significantly increased(mmol/L:6.03±0.32 vs.4.95±0.20,P<0.01).Conclusion Reg3β promotes intestinal protein lactylation and exerts a protective effect on the intestine in sepsis,suggesting that Reg3β may serve as a novel therapeutic target for sepsis.

Objective To observe the effect of acupuncture synchronized with speech training on speech function of patients with post-stroke motor aphasia.Methods Sixty inpatients with post-stroke motor aphasia were selected from the Affiliated Hospital of Shandong Univer-sity of Traditional Chinese Medicine,from January to August,2023.They were randomly divided into control group(n=30)and synchronous group(n=30).Both groups received acupuncture and speech training;the con-trol group received acupuncture in the morning and speech training in the afternoon,while the synchronous group received acupuncture and speech training synchronously,for three weeks.They were assessed with Chi-nese Rehabilitation Research Center Standard Aphasia Examination(CRRCAE),Non-Language-Based Cognitive Assessment(NLCA)and Communication Activities of Daily Living(CADL)before and after treatment.Results The subscores of CRRCAE and NLCA,and score of CADL increased in both groups(|t|>2.081,P<0.05)after treatment,and they were better in the synchronous group than in the control group(|t|>2.680,P<0.05).Conclusion Synchronous mode of acupuncture and speech training is more effective on post-stroke motor aphasia than time-sequence mode.

Objective To observe the effect of synchronous acupuncture and articulation training on spastic dysarthria after stroke.Methods From January to August,2023,64 stroke patients in the Affiliated Hospital of Shandong University of Tradi-tional Chinese Medicine were selected,and randomly divided into control group(n=32)and synchronous group(n=32).Both groups received routine neurological treatment and basic articulation training.The control group added asynchronous acupuncture,while the synchronous group added synchronous acupuncture,for four weeks.Before and after treatment,the modified Frenchay Dysarthria Assessment(m-FDA),Speech Intelligibility Test(SIT),maximum phonation time(MPT)and maximum counting ability(MCA)were used to evaluate the curative effects.Results After treatment,the scores of m-FDA in all the dimensions decreased in both groups(t>2.882,P<0.01);ex-cept for the jaw dimension,the scores of m-FDA in reflexes,respiration,lips,soft palate,larynx,tongue and speech dimensions were significantly lower in the synchronous group than in the control group(t>2.050,P<0.05).After treatment,the results of SIT,and MPT and MCA significantly increased in both groups(t>21.061,P<0.001),and they were better in the synchronous group than in the control group(t>11.412,P<0.001).Conclusion Synchronous acupuncture and articulation training can effectively alleviate the severity of spastic dysarthria after stroke,which was superior to asynchronous acupuncture and articulation training.

Objective:To evaluate the relationship between the mechanism of buprenorphine in attenuating neuroinflammation in microglia and the MAM domain-containing glycosylphosphatidylinositol anchor gene 1 ( MDGA1). Methods:The human microglial cell line HMC-3 was cultured in vitro and divided into 4 groups ( n=6 each) using a table of random numbers: control group (Con group), lipopolysaccharide(LPS)group, buprenorphine + LPS group (Bup+ LPS group) and buprenorphine + LPS + MDGA1 knockdown group (Bup+ LPS+ shMDGA1 group). LPS group was incubated with LPS at a final concentration of 1 μg/ml for 4 h. Bup+ LPS group was incubated with buprenorphine at a final concentration of 100 ng/ml for 1 h, followed by incubation with LPS at a final concentration of 1 μg/ml for 4 h. Bup+ LPS+ shMDGA1 group was transfected with MDGA1-specific shorthairpin RNA for knockdown, and the remaining treatment was similar to those previously described in Bup+ LPS group. The expression of MDGA1 in microglia was detected using real-time quantitative polymerase chain reaction, and the concentrations of interleukin (IL)-6, IL-1β, tumor necrosis factor-α (TNF-α), and inducible nitric oxide synthase (iNOS) in the supernatant were measured using enzyme-linked immunosorbent assay. Results:Compared with Con group, the concentrations of IL-6, IL-1β, TNF-α and iNOS in the supernatant were significantly increased, and the expression of MDGA1 in microglia was down-regulated in LPS group ( P<0.05). Compared with LPS group, the concentrations of IL-6, IL-1β, TNF-α and iNOS in the supernatant were significantly decreased, and the expression of MDGA1 in microglia was up-regulated in Bup+ LPS group ( P<0.05). Compared with Bup+ LPS group, the concentrations of IL-6, IL-1β, TNF-α and iNOS in the supernatant were significantly increased, and the expression of MDGA1 in microglia was down-regulated in Bup+ LPS+ sh MDGA1 group ( P<0.05). Conclusions:The mechanism by which buprenorphine alleviates neuroinflammation in microglia may be related to the up-regulation of the expression of MDGA1.