Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

In the development of traditional Chinese medicine(TCM), the concept of "preventive treatment of disease" has a long history and plays a crucial role in bridging the past and the future. With the continuous growth of public health needs and the ongoing transformation of the registration management of TCM, its position in the research and development of new drugs has become increasingly significant. As one of the important sources of new drug innovation, the new TCM for "preventive treatment of diseases" represents a new thinking proposed based on the current routine registration and research and development. The research and development of TCM for "preventive treatment of diseases" mainly cover four stages: prevention(before the onset of disease), early intervention(when the disease is about to occur), interruption and reversal(when the disease has already occurred), and prevention of recurrence after recovery(after the disease). This study aims to comprehensively analyze the positioning, key points, and difficulties in the research and development of TCM for "preventive treatment of diseases" and explore effective paths to promote the innovative development of TCM through relevant cases. The research and development of new TCM for "preventive treatment of disease" require researchers to seize the opportunities for innovation before the start of the research and development, accurately grasp the key issues at different stages, and pay attention to the full lifecycle evaluation of the drugs. Meanwhile, in the design of the research plan, the optimal effectiveness evaluation indicators should be explored; key and difficult areas such as chronic diseases and rare diseases should be taken seriously, and the limitations of new drug development only based on the diagnosed diseases should be broken, so as to cater to more patients. In addition, through relevant representative cases in China and abroad, the unique advantages of TCM for "preventive treatment of diseases" should be fully leveraged. By learning from the past, all aspects of key points in the evaluation of new drug research and development should be strengthened. Finally, this study proposed that TCM for "preventive treatment of diseases" can employ novel methods and advanced technologies such as new biomarkers and innovative clinical design protocols, as well as new perspectives on disease research and health management. This can provide new paths for the innovation of TCM and public health management.
Humans ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional/methods* ; Pharmacy Research

Sepsis is a life-threatening organ dysfunction disease caused by a dysregulated host response to infection.It has com-plex pathophysiological changes,and in severe cases,it can rap-idly develop into septic shock and multiple organ dysfunction or multiple organ failure.At present,the pathological mechanism of sepsis and its induced organ dysfunction is complex and the in-fluencing factors are numerous.So far,there is still a lack of specific and effective treatment strategies.RNA modify-N6-methyladenosine(m6 A)is one of the most common post-tran-scriptional modifications on eukaryotic RNAs.It is involved in the regulation of the occurrence and development of a variety of inflammatory diseases,including sepsis,and even multiple organ dysfunction induced by sepsis by affecting the metabolism of RNAs.It includes cardiac dysfunction,acute lung injury(ALI)and acute kidney injury(AKI).Therefore,this article will dis-cuss the effect of m6A modification on the function of immune cells,and its important role in sepsis and its induced multiple or-gan dysfunction diseases by regulating inflammatory signals,py-roptosis,mitochondrial damage and ferroptosis.This will provide new therapeutic targets and strategies for the clinical prevention and treatment of sepsis and its induced multiple organ dysfunc-tion diseases.

A QuEChERS cleanup-ultra performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)method was established for simultaneous determination of traditional and emerging 71 kinds of per-and polyfluoroalkyl substances(PFAS)in Chinese herbal medicine Eckloniae Thallus.The extraction solvent employed here was 0.2%formic acid-acetonitrile with sodium chloride-anhydrous sodium sulfate(3:1,m/m)as salting-out agent,and the purification was carried out using graphitized carbon black and octadecyl-bonded silica as adsorbents.The sample separation was carried out on a Horizon C18 chromatographic column(150 mm×2.1 mm,1.6 μm)by gradient elution with 2.5 mmol/L ammonium acetate aqueous solution(containing 2.5 mmol/L acetic acid)and acetonitrile as the mobile phases.The flow rate was set at 0.4 mL/min,with an injection volume of 5 μL.The chromatographic separation of each target compound and internal standard substance could be achieved within 15 min.An electrospray ion source was utilized for simultaneous scanning of positive and negative ions under the scheduled multiple reaction monitoring(sMRM)mode,and the internal standard method was used for quantitative analysis.The results of method validations showed that the 71 kinds of PFAS had good linearity,with a correlation coefficient(r)greater than 0.997,spiked recoveries of 76.2%?122.0%and relative standard deviations(RSDs)of 5.5%?14.8%.The limits of detection were in the range of 0.3-60 ng/kg and the limits of quantification were in the range of 0.8-199 ng/kg.The developed method was used for detection of PFAS in 14 batches of Eckloniae Thallus samples,and a total of 19 kinds of PFAS were detected.The findings indicated that PFAS residues were commonly present in Eckloniae Thallus,with perfluorocarboxylic acids(PFCAs)exhibiting the highest concentrations.The method was simple,robust and efficient in preparation,sensitive in detection with high throughput,and suitable for monitoring residual PFAS compounds,including both ionic and neutral in food-medicine homology samples such as Eckloniae Thallus.

An efficient analytical method was developed for simultaneous detection of alkylamines and alkylamides in food packaging plastics using liquid chromatography-high resolution mass spectrometry(LC-HRMS).Based on the physicochemical properties of alkylamines and alkylamides,as well as the complexity of plastic samples,sample pretreatment and chromatographic-mass spectrometric parameters were optimized.The samples were extracted by vortex-ultrasonic extraction with a methanol-acetonitrile mixture for 15 min,followed by nitrogen evaporation to concentrate the extract,reconstitution,and analysis.The chromatographic mobile phase consisted of 0.1%formic acid aqueous solution and acetonitrile,and a gradient elution was used.The electrospray ionization(ESI)source was operated in positive ion mode,and mass spectrometry data were collected in full scan and data-dependent acquisition modes.Quantification was performed using an isotope-labeled internal standard method.The results showed that within the quantification range of 1-1000 ng/mL,the calibration curves exhibited good linearity(R2>0.99).Some compounds interfered with the validation experiments at higher concentrations,so only 10 kinds of target analytes were validated.Using a mixed food packaging plastic matrix,the recoveries at spiking levels of 40,400,and 4000 ng/g were mostly between 66.0%and 117.1%,with relative standard deviations ranging from 0.6%to 10.6%.The method was applied to detect 14 food packaging plastic samples,and the results showed that the concentrations of alkylamines and alkylamides ranged from not detected to 8924 ng/g.This method offered high sensitivity and accuracy,and was suitable for the screening and quantitative determination of alkylamines and alkylamides in plastics.

Objective To analyze the imaging features of cerebral small vessel disease in patients with type 2 diabetes mellitus by multimodal MRI.Methods The clinical data of 160 patients with cerebral small vessel disease admitted to our hospital from January to December 2020 were retrospectively analyzed.According to whether they were complicated with type 2 diabetes mellitus,they were divided into the diabetic group and the non-diabetic group,with 80 cases in each group.Both groups underwent multimodal MRI scans.And the severity of lacunar infarction,the severity of subcortical and periventricular white matter lesions,white matter integral and cerebral microbleeds of patients in the two groups were compared.Results The severity of lacunar infarction(χ2=34.076,P=0.001),subcortical white matter lesions(χ2=25.000,P=0.001),periventricular white matter lesions(χ2=22.895,P=0.001)and white matter integral(t=12.370,P=0.001)of patients in the diabetic group were significantly higher than those in the non-diabetic group.No cerebral microbleeds were detected in either group of patients.Conclusion Patients with cerebral small vessel disease and type 2 diabetes mellitus show characteristic multimodal MRI changes.The increase in the number of lacunar infarction lesions and the aggravation of white matter lesions can be used as the characteristic imaging basis for the diagnosis of type 2 diabetes mellitus related cerebral small vessel disease.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

BACKGROUND:Relatively or absolutely active bone resorption function of osteoclasts is one of the causative factors of osteoporosis. Therefore,how to inhibit the formation of osteoclasts and reduce the bone resorption activity is a key element in the prevention and treatment of osteoporosis. Liquiritin,which is derived from licorice,plays a role in the clinical treatment of bone diseases,but there are fewer studies addressing the application of liquiritin in osteoporosis and the mechanism is unknown.OBJECTIVE:To confirm,through both in vivo and in vitro experiments,that liquiritin inhibits osteoclast differentiation and alleviates bone loss.METHODS:Cell counting kit-8 was used to detect whether Liquiritin exerts toxic or proliferative effects on mouse bone marrow-derived macrophages,and tartrate-resistant acid phosphatase staining was performed to observe the effect of liquiritin in inhibiting osteoclast differentiation. The affinity of liquiritin binding to proteins related to osteoclast differentiation was verified by network pharmacology. RT-PCR and western blot assays were performed to detect the inhibitory effects of liquiritin on osteoclast-specific protein and gene expression as well as relevant signaling pathways. Finally,the mitigating effect of liquiritin on bone loss was verified in the C57BL/6J mouse osteoporosis model.RESULTS AND CONCLUSION:Liquiritin,at concentrations of 20 μmol/L and below,could inhibit the formation and differentiation of osteoclasts. Concurrently,it exhibited a high affinity with osteoclast-specific proteins such as nuclear factor of activated T-cells 1,Cathepsin K,c-Fos,and matrix metalloproteinase 9,and reduced the relative expression levels of these genes and proteins. Liquiritin could also effectively lower the phosphorylation expression level of JNK in the MAPK signaling pathway at the 15th,30th,45th,and 60th minutes,and it could salvage the degradation of nuclear factor-κB inhibitor α in the nuclear factor-κB signaling pathway at the 60th minute. In vivo experiments demonstrated that liquiritin could mitigate bone loss caused by osteoclasts and improve parameters related to trabecular bone. To conclude,liquiritin possesses the capacity to inhibit osteoclast differentiation and alleviate bone loss,thereby exerting a protective role against osteoporosis.

Objective To analyze the imaging features of cerebral small vessel disease in patients with type 2 diabetes mellitus by multimodal MRI.Methods The clinical data of 160 patients with cerebral small vessel disease admitted to our hospital from January to December 2020 were retrospectively analyzed.According to whether they were complicated with type 2 diabetes mellitus,they were divided into the diabetic group and the non-diabetic group,with 80 cases in each group.Both groups underwent multimodal MRI scans.And the severity of lacunar infarction,the severity of subcortical and periventricular white matter lesions,white matter integral and cerebral microbleeds of patients in the two groups were compared.Results The severity of lacunar infarction(χ2=34.076,P=0.001),subcortical white matter lesions(χ2=25.000,P=0.001),periventricular white matter lesions(χ2=22.895,P=0.001)and white matter integral(t=12.370,P=0.001)of patients in the diabetic group were significantly higher than those in the non-diabetic group.No cerebral microbleeds were detected in either group of patients.Conclusion Patients with cerebral small vessel disease and type 2 diabetes mellitus show characteristic multimodal MRI changes.The increase in the number of lacunar infarction lesions and the aggravation of white matter lesions can be used as the characteristic imaging basis for the diagnosis of type 2 diabetes mellitus related cerebral small vessel disease.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.