1.Herbal Textual Research on Bambusae Succus in Famous Classical Formulas
Yu SHI ; Feng ZHOU ; Yihan WANG ; Yanmeng LIU ; Ming YANG ; Zhiping CHEN ; Jiangshan ZHANG ; Conglong XU ; Zhilai ZHAN
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(9):231-239
This article systematically reviews and examines the historical evolution of Bambusae Succus as a medicinal material, covering aspects such as nomenclature, origin, geographical distribution, harvesting and processing methods, quality assessment, therapeutic effects and indications, by consulting ancient herbal texts, medical compendia, and modern literature. The aim is to provide a reference for the development and utilization of famous classical formulas containing this herb. Research indicated that Bambusae Succus was first documented in the Shennong Bencaojing during the Han dynasty, with Zhuli being the standard name used throughout history, alongside aliases like Zhuzhi, Zhuyou and Huoquan. Historically, the primary source of Bambusae Succus has been Phyllostachys nigra var. henonis(Danzhu), although other species such as Pleioblastus amarus and Bambusa emeiensis have also been used medicinally. Ancient records predominantly noted its origin in Yizhou(present-day Chengdu and surrounding areas in Sichuan) and the Wuling region(between present-day Hunan, Guangdong, Guangxi and Jiangxi provinces), while contemporary sources are mainly from regions south of the Yangtze River and southwestern China. Traditionally, Bambusae Succus was harvested from bamboo that had grown for exactly one year, today, it can be collected year-round without strict age requirements. Ancient preparation methods included direct fire roasting or dry distillation, whereas modern industrial production employs dry distillation, reflux extraction, and percolation. In terms of quality evaluation, ancient texts considered a sweet taste to be superior, while today, clarity and transparency are prioritized. Historically, Bambusae Succus was characterized as sweet and cold nature, targeting the lung and stomach meridians, with uses evolving from clearing heat and resolving phlegm to nourishing Yin, moistening dryness, and relaxing tendons and unblocking meridians. Modern descriptions classify it as sweet, bitter, and cold in nature, affecting the heart, liver, and lung meridians, with functions including clearing heat, resolving phlegm, and facilitating orifices. It is indicated for conditions such as stroke with phlegm confusion, lung heat with phlegm congestion, convulsions, epilepsy, excessive phlegm in febrile diseases, high fever with thirst, irritability during pregnancy, and tetanus, with more clearly defined applications. Based on the results of the research, it is recommended that when developing and utilizing famous classical formulas containing Bambusae Succus, the one-year-old Phyllostachys nigra var. Henonis, which has been highly praised throughout history, should be selected as the source material. Industrial production should adopt the dry distillation method. Furthermore, in-depth research should be conducted on the modern technological characterization of the traditional quality control indicator of sweet taste, and reasonable modern quality control standards should be established.
2.Pinelliae Rhizoma and Its Prescription Compatibility for Depression Treatment: A Review
Zhe XIE ; Yifan SHI ; Linzhe SU ; Ming BAI ; Yucheng LI ; Baoying WANG ; Erping XU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(9):284-293
Depression is a common mental disorder that falls under the category of "stagnation syndrome" in traditional Chinese medicine (TCM). Its complex pathogenesis poses challenges for the development of novel therapeutic agents. Currently, clinically used antidepressants are often accompanied by significant side effects, and statistics show that about one-third of patients do not respond to these medications. TCM demonstrates advantages in the treatment of depression through multi-target, multi-pathway and multi-mechanistic approaches. Pinelliae Rhizoma, a phlegm-resolving herb, exhibits effects such as drying dampness and resolving phlegm, as well as eliminating stuffiness and reducing masses. The characteristics of harmonizing Yin and Yang and resolving stagnation in the middle energizer align precisely with the pathogenesis of depression syndrome, demonstrating therapeutic efficacy in affected patients. Literature studies have found that the active ingredients of Pinelliae Rhizoma, such as cavidine, baicalein, β-sitosterol, as well as Pinelliae Rhizoma herb pairs, such as Pinelliae Rhizoma-Magnoliae Officinalis Cortex, Pinelliae Rhizoma-husked sorghum, Pinelliae Rhizoma-Prunellae Spica, exhibit significant antidepressant effects. Furthermore, TCM formulas containing Pinelliae Rhizoma as the principal therapeutic agent, such as Banxia Xiexin Tang, Banxia Houpo Tang, and Wendan Tang, as well as formulas incorporating Pinelliae Rhizoma like compound Xiaochaihu Tang, Chaihu Jia Longgu Muli Tang, and Erchen Tang, have also demonstrated favorable antidepressant efficacy. The antidepressant mechanism of these agents may involve modulation of 5-hydroxytryptamine (5-HT) and dopamine (DA) levels, up-regulation of brain-derived neurotrophic factor (BDNF) expression, regulation of the hypothalamus-pituitary-adrenal (HPA) axis, reduction of oxidative stress, modulation of nuclear transcription factor-κB (NF-κB) signaling pathway, and inhibition of microglia-mediated inflammatory responses. This review summarized the antidepressant mechanisms and clinical applications of the active components, herb pairs, and TCM formulas containing Pinelliae Rhizoma, aiming to provide a reference for modern research on the use of Pinelliae Rhizoma in antidepressant therapy.
3.Screening of Illicit Oxyphenisatin Substances in Weight-Loss Dietary Supplements by High Performance Liquid Chromatography-in-Source-Fragmentation-Quadrupole Time-of-Flight Mass Spectrometry
Hong-Fei SHI ; Ke-Yu LIU ; Bo-Peng XU ; Cheng-Xin XU ; Xiu-Qi ZHOU ; Yi-Fei ZHOU ; Ming-Xin GUO
Chinese Journal of Analytical Chemistry 2025;53(9):1576-1585,后插1-后插9,封3
By summarizing the mass spectrometric fragmentation patterns of oxyphenisatin substances,an analytical method was established for screening of illegally added oxyphenisatin compounds in weight-loss health foods using high performance liquid chromatography-in-source-fragmentation-quadrupole time-of-flight mass spectrometry(HPLC-ISF-QTOF-MS),along with a quantitative method for 11 kinds of oxyphenisatin compounds.Based on the developed screening method,an oxyphenisatin derivative was discovered in the reference standards,which was tentatively identified as 4-(3-(4-hydroxyphenyl)-2-oxoindolin-3-yl)phenyl acetate and confirmed by MS/MS analysis.The results showed that all 11 kinds of oxyphenisatin compounds had correlation coefficients greater than 0.9971,with limits of detection(LODs)ranging from 0.12 to 0.68 μg/L and limits of quantification(LOQ)from 0.21 to 2.29 μg/L.The LODs for 11 kinds of characteristic ions ranged from 0.45 to 9.11 μg/kg.At spiking levels of 25,50 and 100 μg/kg,the recoveries ranged from 78.9%to 117.3%.The instrumental precision,intra-day method precision and inter-day method precision were 0.23%?1.70%,0.7%?2.4%,and 1.1%?3.3%,respectively.The developed targeted and non-targeted detection method demonstrated high sensitivity,strong stability,rapid analysis,and an expanded screening range for oxyphenisatin substances,and provided robust technical support for regulatory authorities in combating illegal adulteration.
4.Analysis of Genetic Structure among Different Populations Based on 13 Auto-somal STR Loci in CODIS Core
Xi HE ; Zhen TANG ; Ming-Ying XIA ; Yi-Qi ZHAO ; Yu-Ran LUO ; Shi-Lin LI
Journal of Forensic Medicine 2025;41(3):228-236
Objective To investigate the genetic differences among different populations based on 13 autosomal STR loci in CODIS core.Methods Data of 13 autosomal STR loci(CSF1PO,FGA,THO1,TPOX,vWA,D3S1358,D5S818,D7S820,D8S1179,D13S317,D16S539,D18S51,D21S11)were collected from 95 populations in scientific journals between 1999 and 2021,soursed from the PubMed database,which had been published.Allele frequencies of loci were sorted out and forensic genetic parameters including gene differentiation coefficient(Gst),total heterozygosity(Ht),subpopula-tion heterozygosity(Hs)values,and Nei's DA genetic distance were calculated.Principal component analysis,phylogenetic tree,and multidimensional scale analysis were conducted to assess population ge-netic structure.Results A total of 265 alleles were detected at the 13 STR loci in these 95 popula-tions.The mean values of Gst,Ht,and Hs were 0.023 247,0.797 915 and 0.779 365.Population genetic analyses reflected significant differences among populations from Asia,Africa and Europe.In Asian populations,there was a certain degree of distinction between mainland and island populations;the Han population showed a certain degree of distinction with surrounding populations in mainland;while within the Han population,there were two distinct clusters formed by the northern Han and the south-ern Han.Conclusion The 13 autosomal STR loci in CODIS core demonstrate potential value for popu-lation identification across different groups,and may be used for the differentiation of ethnic groups,among different continental populations.
5.Prescription pattern of traditional Chinese medicine for treatment of hypertensive left ventricular hypertrophy based on multivariate data mining.
Xuan-Yang WANG ; Yuan GAO ; Bin LI ; Rui YU ; Shi-Yang XIE ; Lu-Ye ZHOU ; Yu-Die SUN ; Ming-Jun ZHU
China Journal of Chinese Materia Medica 2025;50(6):1688-1698
This study explored the prescription pattern of traditional Chinese medicine(TCM) in the treatment of hypertensive left ventricular hypertrophy(LVH), so as to provide a relevant theoretical basis for the clinical diagnosis and treatment of hypertensive LVH. The study systematically searched the databases of CNKI, Wanfang, VIP, and SinoMed to screen out the qualified literature on TCM treatment of hypertensive LVH and used Microsoft Excel 2021 to establish the relevant prescription database. It also counted the frequency, property, flavor, and meridian affiliation of TCM in the prescriptions and classified their efficacy. The study used Lantern 5.0 and Rstudio software to analyze the hidden structural models and association rules of the high-frequency TCM with a frequency of >3.50% and adopted Origin 2024 software to visualize the data, so as to explore the prescription pattern of TCM in treating hypertensive LVH. The results showed that a total of 128 TCM prescriptions were included, involving 163 TCM with a total frequency of 1 242. The high-frequency TCM included Salviae Miltiorrhizae Radix et Rhizoma, Uncariae Ramulus Cum Uncis, Gastrodiae Rhizoma, Poria, and Chuanxiong Rhizoma, with the main efficacy from blood-activating and stasis-resolving herbs, tonic herbs, and liver-calming and wind-extinguishing herbs. The latent structure analysis(LSA) identified 10 latent variables, 20 latent classes, 7 comprehensive clustering models, and 23 core prescriptions. It was speculated that the common syndromes of hypertensive LVH included blood stasis obstructing the collaterals, ascending hyperactivity of liver Yang, Yin deficiency with Yang hyperactivity, and intermingled phlegm and blood stasis. The association rule analysis yielded 33 strong association rules, with the highest comprehensive association rule being Gastrodiae Rhizoma→Uncariae Ramulus Cum Uncis. Hypertensive LVH is characterized by asthenia in origin and asthenia in superficiality, with Yin deficiency and Qi deficiency as the origin and blood stasis and phlegm as the superficiality. Clinical treatment focuses on activating blood circulation, resolving stasis, tonifying Qi, and nourishing Yin, combined with syndrome-specific therapies such as calming wind and stopping convulsions, clearing heat, eliminating dampness and resolving phlegm, and promoting diuresis and reducing swelling.
Drugs, Chinese Herbal/therapeutic use*
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Data Mining
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Humans
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Hypertension/complications*
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Hypertrophy, Left Ventricular/physiopathology*
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Medicine, Chinese Traditional
;
Drug Prescriptions
6.Expert consensus on evaluation index system construction for new traditional Chinese medicine(TCM) from TCM clinical practice in medical institutions.
Li LIU ; Lei ZHANG ; Wei-An YUAN ; Zhong-Qi YANG ; Jun-Hua ZHANG ; Bao-He WANG ; Si-Yuan HU ; Zu-Guang YE ; Ling HAN ; Yue-Hua ZHOU ; Zi-Feng YANG ; Rui GAO ; Ming YANG ; Ting WANG ; Jie-Lai XIA ; Shi-Shan YU ; Xiao-Hui FAN ; Hua HUA ; Jia HE ; Yin LU ; Zhong WANG ; Jin-Hui DOU ; Geng LI ; Yu DONG ; Hao YU ; Li-Ping QU ; Jian-Yuan TANG
China Journal of Chinese Materia Medica 2025;50(12):3474-3482
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*
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Humans
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Consensus
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Drugs, Chinese Herbal/therapeutic use*
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Surveys and Questionnaires
7.Enhancement of Ca2+ Signal Strength in Astrocytes in the Lateral Septum Improves Cognitive Disorders in Mice After Hemorrhagic Shock and Resuscitation.
Wen-Guang LI ; Lan-Xin LI ; Rong-Xin SONG ; Xu-Peng WANG ; Shi-Yan JIA ; Xiao-Yi MA ; Jing-Yu ZHANG ; Gang-Feng YIN ; Xiao-Ming LI ; Li-Min ZHANG
Neuroscience Bulletin 2025;41(8):1403-1417
Hemorrhagic shock is a common clinical emergency that can aggravate cell injury after resuscitation. Astrocytes are crucial for the survival of neurons because they regulate the surrounding ionic microenvironment of neurons. Although hemorrhagic shock and resuscitation (HSR) injury can impair cognition, it remains unclear how this insult directly affects astrocytes. In this study, we established an HSR model by bleeding and re-transfusion in mice. The social interaction test and new object recognition test were applied to evaluate post-operative cognitive changes, and the results suggest that mice experience cognitive impairment following exposure to HSR. In the HSR group, the power spectral density of β and γ oscillations decreased, and the coupling of the θ oscillation phase and γ oscillation amplitude was abnormal, which indicated abnormal neuronal oscillation and cognitive impairment after HSR exposure. In brief, cognitive impairment in mice is strongly correlated with Ca2+ signal strength in lateral septum astrocytes following HSR.
Animals
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Astrocytes/metabolism*
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Shock, Hemorrhagic/metabolism*
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Resuscitation/adverse effects*
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Male
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Mice
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Calcium Signaling/physiology*
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Mice, Inbred C57BL
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Septal Nuclei/metabolism*
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Cognitive Dysfunction/etiology*
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Disease Models, Animal
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Cognition Disorders/etiology*
8.Progress on antisense oligonucleotide in the field of antibacterial therapy
Jia LI ; Xiao-lu HAN ; Shi-yu SONG ; Jin-tao LIN ; Zhi-qiang TANG ; Zeng-ming WANG ; Liang XU ; Ai-ping ZHENG
Acta Pharmaceutica Sinica 2025;60(2):337-347
With the widespread use of antibiotics, drug-resistant bacterial infections have become a significant threat to human health. Finding new antibacterial strategies that can effectively control drug-resistant bacterial infections has become an urgent task. Unlike small molecule drugs that target bacterial proteins, antisense oligonucleotide (ASO) can target genes related to bacterial resistance, pathogenesis, growth, reproduction and biofilm formation. By regulating the expression of these genes, ASO can inhibit or kill bacteria, providing a novel approach for the development of antibacterial drugs. To overcome the challenge of delivering antisense oligonucleotide into bacterial cells, various drug delivery systems have been applied in this field, including cell-penetrating peptides, lipid nanoparticles and inorganic nanoparticles, which have injected new momentum into the development of antisense oligonucleotide in the antibacterial realm. This review summarizes the current development of small nucleic acid drugs, the antibacterial mechanisms, targets, sequences and delivery vectors of antisense oligonucleotide, providing a reference for the research and development of antisense oligonucleotide in the treatment of bacterial infections.
9.Terms Related to The Study of Biomacromolecular Condensates
Ke RUAN ; Xiao-Feng FANG ; Dan LI ; Pi-Long LI ; Yi LIN ; Zheng WANG ; Yun-Yu SHI ; Ming-Jie ZHANG ; Hong ZHANG ; Cong LIU
Progress in Biochemistry and Biophysics 2025;52(4):1027-1035
Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.
10.Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly.
Ya-Ting AI ; Shi ZHOU ; Ming WANG ; Tao-Yun ZHENG ; Hui HU ; Yun-Cui WANG ; Yu-Can LI ; Xiao-Tong WANG ; Peng-Jun ZHOU
Journal of Integrative Medicine 2025;23(4):390-397
OBJECTIVE:
As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS).
METHODS:
This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA).
RESULTS:
The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS.
CONCLUSION
The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans
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Cognitive Dysfunction/diagnosis*
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Aged
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Male
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Female
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Machine Learning
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Spleen
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Aged, 80 and over
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Kidney
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Medicine, Chinese Traditional

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