As an innovative form of combining traditional aromatherapy with modern nasal medicine delivery technology， "olfactory administration of Chinese medicine" carries the theoretical essence of traditional Chinese medicine （TCM）， which is "moving and channeling Qi and fragrance， dredging and awakening the mind". Based on the systematic records of olfactory therapies in ancient books in emergency care， disorders of consciousness， lung system， and gynecological diseases， this paper examines the historical evolution of its clinical application， and elucidates the profound historical basis and theoretical feasibility of "olfactory administration of Chinese medicine" as a new form. Combined with the innovation and precise application of modern Chinese medicine olfactory agents in multi-system diseases such as nervous， respiratory， and cardiovascular diseases， this paper further analyzes the multi-dimensional mechanism of olfactory receptor pathway， olfactory brain pathway， nasal mucosal blood vessels， and lymphatic channels， and demonstrates its advantages of rapid onset， targeted brain entry， and systemic regulation. Under the background of continuous growth in the demand for external TCM treatment， continuous breakthroughs in the technology of nasal dosage forms， and increasingly accurate drug delivery paths， Chinese medicine olfactory agents have shown significant practical applicability and development potential. This study aims to provide theoretical support and practical direction for the system construction of this form.

The nose-to-brain pathway refers to a significant drug delivery route through which substances traverse the unique anatomical structures of the nasal cavity to directly access the central nervous system， bypassing the blood-brain barrier. Its core advantage lies in utilizing the olfactory and trigeminal nerves， enabling peripheral drug administration to rapidly and efficiently reach the brain， thereby avoiding the drug loss and bioavailability reduction associated with oral or intravenous routes due to the circulatory system and blood-brain barrier limitations. In recent years， with in-depth research into the neuroanatomy of the olfactory system， nasal mucosal barrier properties， and neural regulatory mechanisms， the potential application of the nose-to-brain pathway in neurological diseases has attracted increasing attention. Traditional Chinese medicine （TCM） essential oils， characterized by strong lipophilicity， small molecular weights， volatility， and diverse chemical components， are highly compatible with the physiological characteristics of the nose-to-brain pathway， thus serving as promising carriers for brain-targeted drug delivery， enhancing drug bioavailability， and exerting neuroprotective effects. On this basis， this review systematically summarizes the anatomical and physiological bases for the delivery of TCM essential oils via the nose-to-brain pathway， the patterns of drug transport and brain distribution， clinical and animal study examples in neurological diseases， the associated molecular mechanisms and signaling pathways， and the progress in the development of novel nasal essential oil formulations. Additionally， the review analyzes the current challenges in this field and proposes strategies for future research and application. By systematically discussing the nose-to-brain pathway and the delivery mechanisms of TCM essential oils， this study aims to provide theoretical support for drug development， mechanism exploration， and formulation innovation in the treatment of neurological diseases， while also offering scientific guidance for further research and clinical applications of the nose-to-brain delivery system.

The nose-to-brain pathway refers to a significant drug delivery route through which substances traverse the unique anatomical structures of the nasal cavity to directly access the central nervous system， bypassing the blood-brain barrier. Its core advantage lies in utilizing the olfactory and trigeminal nerves， enabling peripheral drug administration to rapidly and efficiently reach the brain， thereby avoiding the drug loss and bioavailability reduction associated with oral or intravenous routes due to the circulatory system and blood-brain barrier limitations. In recent years， with in-depth research into the neuroanatomy of the olfactory system， nasal mucosal barrier properties， and neural regulatory mechanisms， the potential application of the nose-to-brain pathway in neurological diseases has attracted increasing attention. Traditional Chinese medicine （TCM） essential oils， characterized by strong lipophilicity， small molecular weights， volatility， and diverse chemical components， are highly compatible with the physiological characteristics of the nose-to-brain pathway， thus serving as promising carriers for brain-targeted drug delivery， enhancing drug bioavailability， and exerting neuroprotective effects. On this basis， this review systematically summarizes the anatomical and physiological bases for the delivery of TCM essential oils via the nose-to-brain pathway， the patterns of drug transport and brain distribution， clinical and animal study examples in neurological diseases， the associated molecular mechanisms and signaling pathways， and the progress in the development of novel nasal essential oil formulations. Additionally， the review analyzes the current challenges in this field and proposes strategies for future research and application. By systematically discussing the nose-to-brain pathway and the delivery mechanisms of TCM essential oils， this study aims to provide theoretical support for drug development， mechanism exploration， and formulation innovation in the treatment of neurological diseases， while also offering scientific guidance for further research and clinical applications of the nose-to-brain delivery system.

Objective To explore the regulatory effect of long non-coding RNA HOX transcript anti-sense RNA(lnRNA HOTAIR)targeting tuberous sclerosis complex 1(TSC1)on podocyte injury in diabetic nephropathy(DN).Methods Mice podocyte MPC5 were divided into 6 groups:the control group,the high glucose group(the HG group),the HG+si-NC group,the HG+si-HOTAIR group,the HG+si-HOTAIR+sh-NC group,and the HG+si-HOTAIR+sh-TSC1 group.qPCR was used to detect the levels of lnRNA HO-TAIR and TSC1 mRNA.Cell viability was detected by cell counting kit-8(CCK-8),and apoptosis was detec-ted by flow cytometry.ELISA was used to detect the levels of inflammatory factors[IL-6,tumor necrosis fac-tor-α(TNF-α)]and the levels of oxidative stress indicators[reactive oxygen species(ROS),malondialdehyde(MDA),superoxide dismutase(SOD)]were detected by corresponding reagent kit.Results Compared with the control group,the levels of lnRNA HOTAIR,apoptosis rate,IL-6,TNF-α,ROS and MDA in the HG group were significantly increased(P<0.05),while the levels of TSC1 mRNA,cell viability and SOD were significantly decreased(P<0.05).Compared with the HG+si-NC group,the levels of lnRNA HOTAIR,ap-optosis rate,IL-6,TNF-α,ROS and MDA in the HG+si-HOTAIR group significantly decreased(P<0.05),the levels of TSC1 mRNA,cell viability and SOD were significant increased(P<0.05).Compared with the HG+si-HOTAIR+sh-NC group,the levels of apoptosis rate,IL-6,TNF-α,ROS and MDA in the HG+si-HOTAIR+sh-TSC1 group were significantly increased(P<0.05),the levels of TSC1 mRNA,cell viability and SOD were significantly decreased(P<0.05).Conclusion Silencing lnRNA HOTAIR can target TSC1 to regulate the activity,apoptosis rate,inflammatory level and oxidative stress levels of podocyte injury in DN,thereby alleviating podocyte damage in DN.

Antibody-drug conjugates (ADCs) are antitumor drugs composed of monoclonal antibodies and cytotoxic payload covalently coupled by a linker. Currently, 15 ADCs have been clinically approved worldwide. More than 100 clinical trials at different phases are underway to investigate the newly developed ADCs. ADCs represent one of the fastest growing classes of targeted antitumor drugs in oncology drug development. It takes advantage of the specific targeting of tumor-specific antigen by antibodies to deliver cytotoxic chemotherapeutic drugs precisely to tumor cells, thereby producing promising antitumor efficacy and favorable adverse effect profiles. However, emergence of drug resistance has severely hindered the clinical efficacy of ADCs. In this review, we introduce the structure and mechanism of ADCs, describe the development of ADCs, summarized the latest research about the mechanisms of ADC resistance, discussed the strategies to overcome ADCs resistance, and predicted biomarkers for treatment response to ADC, aiming to contribute to the development of ADCs in the future.

BACKGROUND:The regulatory mechanisms of acupotomy intervention for knee osteoarthritis at a transcriptome level are not well understood despite its proven clinical efficacy.OBJECTIVE:Using acupotomy therapy in a rat model of knee osteoarthritis,to conduct transcriptome sequencing and bioinformatics analysis on cartilage samples,along with validation,and to reveal the molecular regulatory mechanisms involved in this therapy for knee osteoarthritis in rats.METHODS:Forty-eight Sprague-Dawley rats were selected and divided into three groups by random number table method,acupotomy group,model group,and sham operation group,with 16 rats in each group.Osteoarthritis models were induced by medial meniscus instability in the acupotomy group and model group.After successful modeling,acupotomy group rats were treated with acupotomy once a week,for 4 weeks in total.After the intervention,cartilage samples from the rat's knee joint were stained with hematoxylin-eosin staining and safranin O-fast green staining,evaluated by Mankin scores,and underwent MicroCT scanning.Serum inflammatory factor levels were detected by Elisa.Transcriptome sequencing was performed on the remaining cartilage samples,and the data were analyzed using R software to identify differential gene expression levels among the groups.Core targets were screened through protein-protein interaction network and Cytoscape and validated using RT-qPCR.RESULTS AND CONCLUSION:Compared with the sham operation group,rats in the model group had rough and uneven articular cartilage surfaces,narrowed joint spaces,destroyed articular surface structures,elevated Mankin scores,and significant increases in serum levels of interleukin-6,tumor necrosis factor-α,and matrix metalloproteinase 13(P<0.05).Compared with the model group,rats in the acupotomy group had smoother articular cartilage surfaces,wider joint spaces,slightly irregular articular surfaces,lower Mankin scores,and significantly lower serum levels of interleukin-6,tumor necrosis factor-α,and matrix metalloproteinase-13(P<0.05).Gene ontology and Kyoto genome and genome encyclopedia analyses involved proteolytic metabolism,autophagy,mitogen-activated protein kinase,nuclear factor kB,and Wnt signaling pathways.Protein-protein interaction network and Cytoscape screened for four key genes,including ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor.The mRNA expression of ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor in the articular cartilage of rats in the model group was lower than that of the sham operation group(P<0.05),while the mRNA expression of ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor in the articular cartilage of rats in the acupotomy group was higher than that in the model group(P<0.05).To conclude,acupotomy treatment of knee osteoarthritis in rats may act on signaling pathways such as MAPK,nuclear factor kB,and Wnt to promote cartilage repair,and is closely related to the expression of genes associated with ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor.

Objective To systematically evaluate the risk prediction models for neonatal early-onset sepsis(EOS),aiming to provide reference for the construction and optimization of models,as well as for clinical selection of appro-priate prediction models.Methods PubMed,Web of Science,Embase,Cochrane Library,China National Know-ledge Infrastructure(CNKI),Wanfang Data,China Biology Medicine disc(CBM),and VIP databases were re-trieved,and studies relevant to neonatal EOS risk prediction models were collected.The retrieval period was from the inception of the database to January 18,2025.Two researchers independently screened literatures,extracted da-ta,and evaluated the quality of the included literatures using PROBAST tool.Any disagreements were resolved through consultation with a third reviewer.Results A total of 14 literatures were included in analysis,containing 19 risk prediction models.The area under receiver operating characteristic(ROC)curve(AUC)of the included model ranged 0.71-0.999.The number of prediction factors ranged 3-21.Common prediction factors included young gestational age,low birth weight,1-minute Apgar score,abnormal neonatal temperature,prolonged prema-ture rupture of membranes,amniotic fluid turbidity,maternal Group B streptococcal infection,maternal chorioam-nionitis,as well as elevated levels of procalcitonin and C-reactive protein in neonates.The risk of model overall bias was high,mainly due to insufficient number of outcome variable events in the analysis field,improper processing of missing data,screening of prediction factors based on univariate analysis,lacking model performance evaluation,and overfitting of model.Conclusion The neonatal EOS risk prediction model is still at the development stage.Al-though the current prediction models have better overall predictive performance,the overall quality needs to be im-proved.Future modeling can follow the PROBAST and TRIPOD specifications to reduce bias risk,explore the com-bination of multiple modeling methods,and focus on strengthening external validation and localized application to enhance the clinical applicability and promotion value of the model.

Objective To systematically evaluate the risk prediction models for neonatal early-onset sepsis(EOS),aiming to provide reference for the construction and optimization of models,as well as for clinical selection of appro-priate prediction models.Methods PubMed,Web of Science,Embase,Cochrane Library,China National Know-ledge Infrastructure(CNKI),Wanfang Data,China Biology Medicine disc(CBM),and VIP databases were re-trieved,and studies relevant to neonatal EOS risk prediction models were collected.The retrieval period was from the inception of the database to January 18,2025.Two researchers independently screened literatures,extracted da-ta,and evaluated the quality of the included literatures using PROBAST tool.Any disagreements were resolved through consultation with a third reviewer.Results A total of 14 literatures were included in analysis,containing 19 risk prediction models.The area under receiver operating characteristic(ROC)curve(AUC)of the included model ranged 0.71-0.999.The number of prediction factors ranged 3-21.Common prediction factors included young gestational age,low birth weight,1-minute Apgar score,abnormal neonatal temperature,prolonged prema-ture rupture of membranes,amniotic fluid turbidity,maternal Group B streptococcal infection,maternal chorioam-nionitis,as well as elevated levels of procalcitonin and C-reactive protein in neonates.The risk of model overall bias was high,mainly due to insufficient number of outcome variable events in the analysis field,improper processing of missing data,screening of prediction factors based on univariate analysis,lacking model performance evaluation,and overfitting of model.Conclusion The neonatal EOS risk prediction model is still at the development stage.Al-though the current prediction models have better overall predictive performance,the overall quality needs to be im-proved.Future modeling can follow the PROBAST and TRIPOD specifications to reduce bias risk,explore the com-bination of multiple modeling methods,and focus on strengthening external validation and localized application to enhance the clinical applicability and promotion value of the model.

BACKGROUND:The regulatory mechanisms of acupotomy intervention for knee osteoarthritis at a transcriptome level are not well understood despite its proven clinical efficacy.OBJECTIVE:Using acupotomy therapy in a rat model of knee osteoarthritis,to conduct transcriptome sequencing and bioinformatics analysis on cartilage samples,along with validation,and to reveal the molecular regulatory mechanisms involved in this therapy for knee osteoarthritis in rats.METHODS:Forty-eight Sprague-Dawley rats were selected and divided into three groups by random number table method,acupotomy group,model group,and sham operation group,with 16 rats in each group.Osteoarthritis models were induced by medial meniscus instability in the acupotomy group and model group.After successful modeling,acupotomy group rats were treated with acupotomy once a week,for 4 weeks in total.After the intervention,cartilage samples from the rat's knee joint were stained with hematoxylin-eosin staining and safranin O-fast green staining,evaluated by Mankin scores,and underwent MicroCT scanning.Serum inflammatory factor levels were detected by Elisa.Transcriptome sequencing was performed on the remaining cartilage samples,and the data were analyzed using R software to identify differential gene expression levels among the groups.Core targets were screened through protein-protein interaction network and Cytoscape and validated using RT-qPCR.RESULTS AND CONCLUSION:Compared with the sham operation group,rats in the model group had rough and uneven articular cartilage surfaces,narrowed joint spaces,destroyed articular surface structures,elevated Mankin scores,and significant increases in serum levels of interleukin-6,tumor necrosis factor-α,and matrix metalloproteinase 13(P<0.05).Compared with the model group,rats in the acupotomy group had smoother articular cartilage surfaces,wider joint spaces,slightly irregular articular surfaces,lower Mankin scores,and significantly lower serum levels of interleukin-6,tumor necrosis factor-α,and matrix metalloproteinase-13(P<0.05).Gene ontology and Kyoto genome and genome encyclopedia analyses involved proteolytic metabolism,autophagy,mitogen-activated protein kinase,nuclear factor kB,and Wnt signaling pathways.Protein-protein interaction network and Cytoscape screened for four key genes,including ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor.The mRNA expression of ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor in the articular cartilage of rats in the model group was lower than that of the sham operation group(P<0.05),while the mRNA expression of ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor in the articular cartilage of rats in the acupotomy group was higher than that in the model group(P<0.05).To conclude,acupotomy treatment of knee osteoarthritis in rats may act on signaling pathways such as MAPK,nuclear factor kB,and Wnt to promote cartilage repair,and is closely related to the expression of genes associated with ataxia-telangiectasia mutations,Myb SWIRM and MPN domain protein 1,heat shock protein 90α1,and NIPBL cohesion-loading factor.

Objective To explore the correlation between HbA1c level and carotid plaque stability in type 2 diabetes mellitus(T2DM)patients.Methods From October 2018 to October 2020,100 T2DM patients who visited our hospital and underwent carotid artery ultrasound examination with a plaque thickness greater than 1.5 mm were included in this study.According to HbA1c levels,they were divided into HbA1c≤7%group(n=21),7%9%group(n=51).Results The FPGs of the 7%9%groups were higher than that of the HbA1c≤7%group(P<0.01).The plaque thickness gradually increased from group HbA1c≤7%,7%9%groups(P<0.01),and the proportion of high-level enhancement in the overall,proximal,middle,and distal segments of the plaque increased in sequence(P<0.05 or P<0.01).Pearson correlation analysis showed that HbA1c,FPG,and 2 hPG were positively correlated with plaque thickness and length(P<0.05).Spearman correlation analysis showed that HbA1c was positively correlated with the smoothness of the plaque surface,the presence of extremely low echogenicity within the plaque,and the overall,proximal,central,and distal enhancement intensity of the plaque(P<0.05).Conclusion HbA1c can not only evaluate the blood glucose control of T2DM patients,but also has a certain correlation with the stability of carotid plaque,with a trend of poorer plaque stability as HbA1c increases.