Databases, Bibliographic ; Evidence-based Practice ; Health Services Needs And Demand

The rules of acupoint selection and treatment were identified and discovered from the collected ancient acupuncture-moxibustion prescriptions recorded the earliest for epigastric pain. The database of ancient acupuncture-moxibustion prescriptions for epigastric pain was set up using Excel2016 software. After the disease term, etiology, pathogenesis, symptoms and acupoints were normalized, the underlying multi-dimensional correlation among the elements of acupuncture-moxibustion was explored, using the frequency statistics and the association rule of Apriori algorithm. In the ancient time, in treatment with acupuncture-moxibustion therapy for epigastric pain, the acupoints of the high use frequency were sequenced as Zhongwan (CV12), Shangwan (CV13), Zusanli (ST36), Neiguan (PC6), Gongsun (SP4), Pishu (BL20) and Weishu (BL21). The common combinations of acupoints included the pairs of back-shu points, the combination of back-shu points and front-mu points, the combination of front-mu points and yuan-source points and the combination of back-shu points and the lower he-sea points. The highly involved acupoints were those from the conception vessel, pericardium meridian, spleen meridian, stomach meridian and bladder meridian; and they were commonly distributed on the abdomen, the yin parts of the foot and the arm, the yang part of the leg and on the back. Regarding the etiologies such as parasites, food retention, masses, qi stagnation and stomach cold, Zhongwan (CV12) and Shangwan (CV13) were coordinated; and Sanyinjiao (SP6) and Daling (PC7) were highly associated with masses. Besides cold injury, parasites and masses, for the epigastric pain caused by other factors of etiology (qi stagnation, stomach cold and food retention), moxibustion therapy was greatly applicable. For epigastric pain combined with qi reversion in the lower abdominal region, Qichong (ST30), Sanyinjiao (SP6), Tianshu (ST25) and Zusanli (ST36) must be selected. Dadu (SP2) and Taibai (SP3) must be used if the distention in the chest and abdomen accompanied; and Zhongzhu (TE3) be used if back pain involved. Zusanli (ST36) was commonly selected for hiccups. For the other accompanied symptoms, Zhongwan (CV12) was used, which is consistent with the acupoint selection of main symptoms. On the trunk, moxibustion was generally used at Weishu (BL21), Pishu (BL20), Geshu (BL17), Zhongwan (CV12), Juque (CV14) and Qihai (CV6), except Shangwan (CV13). Among the acupoints below the elbows and knees, moxibustion was commonly applicable at Zusanli (ST36), and acupuncture was often used at Gongsun (SP4) and Daling (PC7).
Acupuncture Points ; Humans ; Moxibustion/history* ; History, Ancient ; Acupuncture Therapy/history* ; Data Mining ; Abdominal Pain/history*

OBJECTIVE: To analyze the rules of moxibustion for low back pain by ZHOU Meisheng by using data mining and knowledge graph technology. METHODS: Taking the medical cases of moxibustion for low back pain from ZHOU Meisheng's legacy manuscripts and existing works as the research objects, information on disease types, symptoms, tongue manifestations, pulse conditions, syndrome patterns, moxibustion methods and acupoints were collected. Frequency statistics and community analysis were conducted by the ancient and modern medical record cloud platform V 2.3.7, cluster analysis of high-frequency acupoints was performed by SPSS26.0, association rule analysis of high-frequency acupoints was performed by SPSS Modeler 18.0, and the generated linked data were imported into Cytoscape 3.9.1 for complex network analysis. Knowledge graph of moxibustion for low back pain by ZHOU Meisheng was constructed based on the results of data mining. The data storage and display of knowledge graph were realized through the Neo4j 3.5.25 graph database, and the Cypher query language was used for knowledge graph retrieval and discovery. RESULTS: A total of 219 medical cases were collected, involving 14 disease types, 85 related clinical symptoms, 5 related TCM syndrome types, and 6 moxibustion methods. The acupoints were mostly attributed to the governor vessel, the bladder meridian of foot-taiyang, non-meridian and non-acupoint areas. The core prescription of acupoints derived from complex network analysis included tender points, Shenshu (BL23), Jinsuo (GV8), Yinjiao (CV7), Yaoyangguan (GV3), Yanglingquan (GB34), which were largely coincides with high-frequency acupoints. Cluster analysis obtained 4 cluster combinations. Community analysis yielded 6 communities, each corresponding to different acupoints.The constructed knowledge graph contained 187 nodes and 696 relationships, by retrieving clinical elements related to low back pain, the disease-moxibustion association graph, disease-acupoint association graph, accompanying symptom-acupoint association graph and syndrome type-matching point association graph were obtained. CONCLUSION When treating low back pain with moxibustion, ZHOU Meisheng adopts the principle of promoting circulation, distinguishing diseases to determine the treatment, selecting acupoints according to the diseases, and matching points according to the symptoms.And taking tender points, Shenshu (BL23), Jinsuo (GV8), Yinjiao (CV7), Yaoyangguan (GV3), Yanglingquan (GB34) as core acupoints, combined with tenderness point selection, acupoint selection based on meridian and zangfu syndrome differentiation, "sunshine area" acupoint selection, yin-yang acupoint matching. Additionally, he skillfully employs special points, such as Zhongzhu (KI15) and ear tips, pays attention to the reform of moxibustion tools, and innovates the moxibustion techniques, using distinctive moxibustion tools and methods to treat low back pain.
Moxibustion/methods* ; Humans ; Data Mining ; Low Back Pain/history* ; Acupuncture Points ; History, Ancient ; Female ; China ; Male ; Adult ; Middle Aged

OBJECTIVE: To explore the rules of acupoint selection and compatibility of acupuncture and moxibustion in treatment of chronic cough using data mining. METHODS: The ancient and modern medical record cloud platform, and the databases, i.e. CNKI, Wanfang, VIP, EMbase, Web of Science and PubMed, were searched to screen the ancient and modern literature on acupuncture and moxibustion treatment of chronic cough. The prescription database was established for acupuncture and moxibustion treatment of chronic cough, and the analysis conducted on the frequency and use percentage in the aspects of intervention measures, acupoint selection, acupoint distribution, meridian tropism, special points and acupoint combination, as well as the association rules and clustering rules of acupoint selection. The subgroup analysis was performed in accordance with the etiology of chronic cough and intervention measures. RESULTS: A total of 106 articles were included and 158 prescriptions were extracted. The intervention measures were acupuncture, moxibustion, herbal medication and the combination of several measures. The high-frequency acupoints included Feishu (BL13), Zusanli (ST36), Dazhui (GV14), Pishu (BL20), Danzhong (CV17), Shenshu (BL23), Lieque (LU7), Dingchuan (EX-B1), Tiantu (CV22), and Fenglong (ST40). These acupoints are mainly distributed on the back, lumbar region, chest and abdomen. The involved meridians were bladder meridian of foot-taiyang, conception vessel, and lung meridian of hand-taiyin. The special points covered back-shu points, crossing points and five-shu point. Regarding the compatibility of acupoints, the combination of upper and lower points, and the combination of front and back points were predominant in treatment. The analysis of association rules found that the support of Feishu (BL13)→Zusanli (ST36) was the highest; the cluster analysis obtained 8 clusters of acupoints. The acupoint compatibility and overall rules were similar when cough variant asthma (CVA) or the mixed reasons were involved, and the local treatment approach was adopted if the etiology of disease was related to upper airway cough syndrome (UACS) and gastroesophageal reflux cough (GERC). The acupoint selection was similar among different intervention measures. When two kinds of measures were combined in treatment, Feishu (BL13), Pishu (BL20) and Zusanli (ST36) were the most common. CONCLUSION In treatment with acupuncture and moxibustion for chronic cough, the acupoints are selected on the affected local area, depending on syndrome differentiation, and focusing on back-shu points. The main acupoints are Feishu (BL13), Zusanli (ST36), Dazhui (GV14), Pishu (BL20), Danzhong (CV17) and Shenshu (BL23). The combined therapy is dominant with acupuncture, moxibustion and herbal medicine involved.
Acupuncture Points ; Moxibustion/history* ; Humans ; Cough/history* ; Acupuncture Therapy/history* ; Chronic Disease/therapy* ; Data Mining ; History, Ancient ; Meridians ; Chronic Cough

OBJECTIVE: To analyze the core acupoint selection rules and syndrome-based compatibility patterns of acupuncture for autism spectrum disorder (ASD) using data mining techniques. METHODS: Relevant literature of acupuncture for ASD was retrieved from CNKI, Wanfang, VIP, PubMed, and Web of Science. After applying inclusion and exclusion criteria, a prescription database was established based on the extracted effective data. Descriptive analysis was conducted on the frequency, meridian tropism, anatomical distribution, and specific point. High-frequency acupoints were visualized using Origin software. The Apriori algorithm in IBM SPSS Modeler 18.0 was used for association rule analysis of acupoint combinations. Cluster analysis of high-frequency acupoints was performed using IBM SPSS Statistics 26.0. The relationships between high-frequency syndromes and acupoints were visualized using Cytoscape 3.10.0. RESULTS: A total of 223 studies and 452 prescriptions were included, among which 223 were based on syndrome differentiation. A total of 205 acupoints were included with a cumulative frequency of 4 067. The top five most frequently used acupoints were Baihui (GV20), Sishenzhen, Zhisanzhen, Niesanzhen, and Neiguan (PC6). Acupoints were primarily from Jin's three-needle therapy, the governor vessel, scalp acupuncture, and the foot-taiyang bladder meridian, with a high proportion of acupoints located on the head and neck and the limbs. Among specific point, five-shu points, yuan-source points, and back-shu points were most frequently used. Association rule analysis revealed that the core acupoint group was Sishenzhen-Dingshenzhen-Zhisanzhen-Niesanzhen. Cluster analysis divided the top 20 high-frequency acupoints into four categories: governor vessel activation and brain awakening group, spleen strengthening and heart nourishing group, Jin's three-needle spirit-regulating group, and kidney-reinforcing and marrow-filling group. Clinically, the main syndrome patterns were kidney essence deficiency, hyperactivity of heart and liver fire, phlegm obstructing the heart orifices, dual deficiency of heart and spleen, and liver qi stagnation. CONCLUSION The core acupoint prescriptions of acupuncture for ASD are Sishenzhen, Dingshenzhen, Zhisanzhen, and Niesanzhen. The treatment emphasizes spirit regulation and mental tranquility, guided by the principles of harmonizing multiple zang-fu organs, regulating qi and blood, unblocking qi movement, and balancing yin and yang. Syndrome-based acupoint compatibility is recommended in clinical practice.
Humans ; Acupuncture Points ; Acupuncture Therapy ; Autism Spectrum Disorder/therapy* ; Data Mining ; Meridians

OBJECTIVE: To retrieve and collate the earliest recorded texts in ancient acupuncture-moxibustion prescriptions for chest obstruction and heart pain, and explore the acupoint composition principles. METHODS: The Excel 2016 software was used to build a data set of ancient textual records on acupuncture-moxibustion prescriptions for chest obstruction and heart pain. After the terminology related to etiology, pathogenesis, accompanying symptoms, acupoints, and treatment methods unified, the frequency statistical analysis and association rule algorithms were applied to analyze the implicit association patterns among various elements of syndrome differentiation, treatment selection, and acupoint selection in ancient prescriptions from multiple dimensions. RESULTS: The basic acupoints of high frequency in ancient acupuncture-moxibustion treatment for chest obstruction and heart pain were Daling (PC7), Neiguan (PC6), Taixi (KI3), Taichong (LR3), Shangwan (CV13), Yongquan (KI1), and Xinshu (BL15). The prescription was mostly composed of yuan-source points. Besides, the combinations of two of five-shu points, five-shu points with luo-connecting points, and yuan-source points with luo-connecting points were common. The high-frequency points were from the pericardium meridian of hand-jueyin, conception vessel, kidney meridian of foot-shaoyin, liver meridian of foot-jueyin, and bladder meridian of foot-taiyang, generally distributed on the yin part of the arm, abdominal region, the yin part of foot, the back, and the yin part of the leg. Zhigou (TE6), Zusanli (ST36), Baihui (GV20), and Jiuwei (CV15), as well as the specific acupoint combinations, were used for chest obstruction and heart pain due to qi stagnation. Moxibustion was more suitable for chest obstruction and heart pain caused by qi reversion, cold and qi stagnation. Shaohai (HT3) was invariably selected when hand tremor was accompanied; Zhongchong (PC9) combined with Daling (PC7) was selected specially for feverish sensation in the palms. Moxibustion was exclusively applied to Shangwan (CV13), and Taixi (KI3) was often stimulated with moxibustion. At Neiguan (PC6) and Daling (PC7), moxibustion was delivered in combination with acupuncture (high confidence was presented in acupuncture). CONCLUSION In ancient acupuncture-moxibustion treatment for chest obstruction and heart pain, the points of the pericardium meridian of hand-jueyin are predominant, coordinated with those of the liver meridian of foot-jueyin, kidney meridian of foot-shaoyin, conception vessel, and bladder meridian of foot-taiyang. It follows the principles of acupoint selection, "the pericardium acting on behalf of the heart", "regulating qi as the priority", "combination of yuan-source points with luo-connecting points", and "selecting nearby points along the affected meridians".
Humans ; Moxibustion/history* ; Acupuncture Therapy/history* ; Acupuncture Points ; History, Ancient ; Data Mining ; Chest Pain/history* ; Prescriptions/history* ; Meridians

OBJECTIVE: To analyze the acupoint selection patterns and core prescriptions of acupuncture for polycystic ovary syndrome (PCOS) using data mining, and to explore the molecular mechanisms of core acupoints through network acupuncture medicine. METHODS: The randomized controlled trials (RCTs) on acupuncture for PCOS published from January 1, 2004 to July 21, 2024 were retrieved from CNKI, VIP, Wanfang, PubMed, and Web of Science databases. R software (version 4.4.0) was used for acupoint frequency and association rule analysis to identify core acupoint prescriptions. Potential targets were predicted via the STITCH and Swiss Target Prediction databases, and a "core prescription-active compounds-targets- PCOS" network was constructed. Cytoscape 3.7.1 was applied to build protein-protein interaction (PPI) networks of potential targets of core acupoint prescriptions. Key therapeutic targets were subjected to gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses using the DAVID and Microbioinformatics platforms. RESULTS: A total of 176 RCTs were included, covering 208 prescriptions and 89 acupoints. The five most frequently used acupoints were Guanyuan (CV4), Sanyinjiao (SP6), Zigong (EX-CA1), Zusanli (ST36) and Zhongji (CV3). Association rule analysis yielded 13 core acupoint combinations, with Guanyuan (CV4), Sanyinjiao (SP6), Zigong (EX-CA1) and Zusanli (ST36) as the core prescription. Twenty-seven active compounds were involved, with 852 potential therapeutic targets, among which 208 targets overlapped with PCOS-related targets. Network acupuncture medicine analysis suggested that the core prescription may act through targets such as estrogen receptor 1 (ESR1), proto-oncogene tyrosine-protein kinase Src (SRC), signal transducer and activator of transcription 3 (STAT3), peroxisome proliferator-activated receptor gamma (PPARG), and RAC-alpha serine/threonine-protein kinase (AKT1). GO and KEGG analyses indicated that the main pathways included the hypoxia-inducible factor 1 (HIF-1) signaling pathway, phosphatidylinositol 3-kinase-protein kinase B (PI3K-AKT) signaling pathway, and advanced glycation end products-receptor for advanced glycation end products (AGE-RAGE) signaling pathway, involving processes such as signal transduction, receptor complex formation, and cytokine activity. CONCLUSION The core acupoint prescription for PCOS might exert therapeutic effects through multiple targets and pathways, providing a theoretical basis for mechanistic research on acupoint prescriptions.
Humans ; Acupuncture Therapy ; Data Mining ; Acupuncture Points ; Polycystic Ovary Syndrome/metabolism* ; Female ; Protein Interaction Maps ; Randomized Controlled Trials as Topic

Identification of disease-specific cell subtypes (DSCSs) has profound implications for understanding disease mechanisms, preoperative diagnosis, and precision therapy. However, achieving unified annotation of DSCSs in heterogeneous single-cell datasets remains a challenge. In this study, we developed the gPRINT algorithm (generalized approach for cell subtype identification with single cell's voicePRINT). Inspired by the principles of speech recognition in noisy environments, gPRINT transforms gene position and gene expression information into voiceprints based on ordered and clustered gene expression phenomena, obtaining unique "gene print" patterns for each cell. Then, we integrated neural networks to mitigate the impact of background noise on cell identity label mapping. We demonstrated the reproducibility of gPRINT across different donors, single-cell sequencing platforms, and disease subtypes, and its utility for automatic cell subtype annotation across datasets. Moreover, gPRINT achieved higher annotation accuracy of 98.37% when externally validated based on the same tissue, surpassing other algorithms. Furthermore, this approach has been applied to fibrosis-associated diseases in multiple tissues throughout the body, as well as to the annotation of fibroblast subtypes in a single tissue, tendon, where fibrosis is prevalent. We successfully achieved automatic prediction of tendinopathy-specific cell subtypes, key targets, and related drugs. In summary, gPRINT provides an automated and unified approach for identifying DSCSs across datasets, facilitating the elucidation of specific cell subtypes under different disease states and providing a powerful tool for exploring therapeutic targets in diseases.
Humans ; Algorithms ; Single-Cell Analysis ; Databases, Genetic ; Molecular Sequence Annotation

OBJECTIVE: To assess the impact of albumin (Alb) administration on the prognosis of patients with acute kidney injury (AKI). METHODS: Clinical data of AKI patients in the intensive care unit (ICU) were retrospectively analyzed from the American Medical Information Mart of Intensive Care-IV (MIMIC-IV), including demographic data, acute physiology score (APS), comorbidities, vital signs, laboratory indicators, treatment status, ICU length of stay, and outcome indicators. The main outcome measure is ICU mortality. AKI patients were divided into Alb infusion group and Alb non infusion group based on whether they received Alb treatment. Multiple imputation was used to process missing data and eliminate variables that missing more than 30%. To ensure the stability of the results, propensity score matching (PSM) and inverse probability weighting (IPW) were used to correct the results. Using Kaplan-Meier survival curve and Cox proportional hazards regression model to evaluate the effect of Alb infusion on ICU survival rate in AKI patients. Perform subgroup analysis based on patient age, gender, and comorbidities to evaluate the prognostic effects of Alb on different patient subgroups. RESULTS: A total of 6 390 AKI patients were included, including 1 721 in the Alb infusion group and 4 669 in the Alb non infusion group. After adjusting for key covariates in the Cox regression model, compared with the Alb non infusion group, patients in the Alb infusion group were significantly younger in age, with APS III score, proportion of vasoactive drugs and continuous renal replacement therapy (CRRT) use, sepsis proportion, heart rate, respiratory frequency, aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatinine (Cr), lactic acid (Lac), and arterial partial pressure of carbon dioxide (PaCO₂) levels significantly higher. The proportion of hypertension, myocardial infarction, and congestive heart failure, as well as blood pressure, urine output, platelet count (PLT), and Alb levels were significantly lower. The results of univariate and multivariate Cox regression analysis on the raw data showed that the risk of death in the Alb infusion group was significantly lower than that in the Alb non infusion group [hazard ratio (HR) = 0.69, 95% confidence interval (95%CI) was 0.60-0.80, all P < 0.05]. The results after propensity score matching (PSM) and inverse probability weighting (IPW) processing are consistent with the original data trend (both P < 0.05). The Kaplan-Meier survival curve showed that the cumulative survival rate during ICU stay in the Alb infusion group was significantly higher than that in the Alb non infusion group (24.48% vs. 12.17%, Log-Rank test: χ² = 74.26, P < 0.05). Subgroup analysis shows that Alb infusion has a more significant survival benefit for AKI patients who use vasoactive drugs, have concurrent sepsis, and do not have liver disease. CONCLUSION Albumin infusion can decrease the ICU mortality of AKI patients.
Humans ; Retrospective Studies ; Acute Kidney Injury/mortality* ; Prognosis ; Male ; Female ; Middle Aged ; Aged ; Intensive Care Units ; Albumins/therapeutic use* ; Proportional Hazards Models ; Adult ; Databases, Factual

This study aims to explore the medication rules and mechanisms of treating chronic renal failure(CRF) by Jinling medical school based on data mining, network pharmacology, and experimental validation systematically and deeply. Firstly, the study selected the papers published by the inherited clinicians in Jinling medical school in Chinese journals using the subject headings named "traditional Chinese medicine(TCM) + chronic renal failure", "TCM + chronic renal inefficiency", or "TCM + consumptive disease" in China National Knowledge Infrastructure, Wanfang, and VIP Chinese Science and Technology Periodical Database and screened TCM formulas for treating CRF according to inclusion and exclusion criteria. The study analyzed the frequency of use of single TCM and the four properties, five tastes, channel tropism, and efficacy of TCM used with high frequency and performed association rule and clustering analysis, respectively. As a result, a total of 215 TCM formulas and 235 different single TCM were screened, respectively. The TCM used with high frequency included Astragali Radix, Rhei Radix et Rhizoma, Salviae Miltiorrhizae Radix et Rhizoma, Poria, and Atractylodis Macrocephalae Rhizoma(top 5). The single TCM characterized by "cold properties, sweet flavor, and restoring spleen channel" and the TCM with the efficacy of tonifying deficiency had the highest frequency of use, respectively. Then, the TCM with the rules of "blood-activating and stasis-removing" and "diuretic and dampness-penetrating" appeared. In addition, the core combination of TCM [(Hexin Formula, HXF)] included "Astragali Radix, Rhei Radix et Rhizoma, Poria, Salviae Miltiorrhizae Radix, and Angelicae Sinensis Radix". The network pharmacology analysis showed that HXF had 91 active compounds and 250 corresponding protein targets including prostaglandin-endoperoxide synthase 2(PTGS2), PTGS1, sodium voltage-gated channel alpha subunit 5(SCN5A), cholinergic receptor muscarinic 1(CHRM1), and heat shock protein 90 alpha family class A member 1(HSP90AA1)(top 5). Gene Ontology(GO) function analysis revealed that the core targets of HXF predominantly affected biological processes, cellular components, and molecular functions such as positive regulation of transcription by ribonucleic acid polymerase Ⅱ and DNA template transcription, formation of cytosol, nucleus, and plasma membrane, and identical protein binding and enzyme binding. Kyoto Encyclopedia of Genes and Genomes(KEGG) analysis revealed that CRF-related genes were involved in a variety of signaling pathways and cellular metabolic pathways, primarily involving "phosphatidylinositol 3-kinase(PI3K)-protein kinase B(Akt) pathway" and "advanced glycation end products-receptor for advanced glycation end products". Molecular docking results showed that the active components in HXF such as isomucronulatol 7-O-glucoside, betulinic acid, sitosterol, and przewaquinone B might be crucial in the treatment of CRF. Finally, a modified rat model with renal failure induced by adenine was used, and the in vivo experimental confirmation was performed based on the above-mentioned predictions. The results verify that HXF can regulate mitochondrial autophagy in the kidneys and the PI3K-Akt-mammalian target of rapamycin(mTOR) signaling pathway activation at upstream, so as to alleviate renal tubulointerstitial fibrosis and then delay the progression of CRF.
Data Mining ; Drugs, Chinese Herbal/chemistry* ; Network Pharmacology ; Humans ; Kidney Failure, Chronic/metabolism* ; Medicine, Chinese Traditional ; China