Chronic heart failure （CHF） is a complex clinical syndrome caused by ventricular dysfunction， with mitochondrial energy metabolism disorder being a critical factor in disease progression. Heart-Yang deficiency syndrome， as the core pathogenesis of CHF， persists throughout the disease course. Insufficiency of heart-Yang leads to weakened warming and propelling functions， resulting in the accumulation of phlegm-fluid， blood stasis， and dampness. This eventually causes Qi stagnation with phlegm obstruction and blood stasis with water retention， forming a vicious cycle that exacerbates disease progression. According to the theory of reinforcing Yang， the clinical experience of the traditional Chinese medicine （TCM） master Tang Zuxuan in treating CHF with heart-Yang deficiency syndrome， and achievements from molecular biological studies， this study innovatively proposes an integrated research framework of "TCM syndrome differentiation and staging-mitochondrial metabolism mechanisms-intervention with Yang-reinforcing prescriptions" which is characterized by the integration of traditional Chinese and Western medicine. Heart-Yang deficiency syndrome is classified into mild （Stage Ⅰ-Ⅱ）， severe （Stage Ⅲ）， and critical （Stage Ⅳ） stages. The study elucidates the precise correlations between the pathogenesis of each stage and mitochondrial metabolism disorders from theoretical， pathophysiological， and therapeutic perspectives. The mild stage is characterized by impaired biogenesis and substrate-utilization imbalance， corresponding to heart-Yang deficiency and phlegm-fluid aggregation. Linggui Zhugantang and similar prescriptions can significantly improve the expression of peroxisome proliferator-activated receptor gamma co-activator-1α（PGC-1α）/silent information regulator 2 homolog 1 （SIRT1） and ATPase activity. The severe stage centers on oxidative stress and structural damage， reflecting Yang deficiency with water overflow and phlegm-blood stasis intermingling. At this stage， Zhenwu Tang and Qiangxin Tang can effectively mitigate oxidative stress damage， increase adenosine triphosphate （ATP） content， and repair mitochondrial structure. The critical stage arises from calcium overload and mitochondrial disintegration， leading to the collapse of Yin-Yang equilibrium. At this stage， Yang-restoring and crisis-resolving prescriptions such as Fuling Sini Tang and Qili Qiangxin capsules can inhibit abnormal opening of the mitochondrial permeability transition pore （MPTP）， reduce cardiomyocyte apoptosis rate， and protect mitochondrial function. By summarizing the characteristics of mitochondrial energy metabolism disorders at different stages of CHF， this study explores the application of the theory of reinforcing Yang in treating heart-Yang deficiency syndrome and provides new insights for the clinical diagnosis and treatment of CHF.

With the rapid development of the biopharmaceutical field, the efficient and simultaneous extraction of multiple biological components from biological samples has become a critical process for advancing scientific research. The ability to simultaneously extract various molecular components such as metabolites, DNA, RNA, and proteins is pivotal for multi-omics studies, which aim to comprehensively understand the molecular mechanisms of biological systems. Traditional methods often extract these components separately, leading to challenges such as sample loss, time consumption, contamination, and inconsistencies across different data types. In contrast, simultaneous extraction techniques address these issues by maintaining the consistency of each biological component’s physiological state, improving data reliability and facilitating integration across omic platforms. This review systematically summarizes recent advances in simultaneous extraction technologies, focusing on methods such as methanol/chloroform extraction, TRIzol reagent extraction, and modified Folch extraction, which have shown significant promise in improving the efficiency and integrity of biological sample preparation. These methods offer various advantages, such as reduced sample volume requirements, decreased contamination risk, and enhanced extraction consistency, which are crucial for studies involving small sample sizes or precious clinical specimens. Among these, methanol/chloroform extraction stands out for its simplicity, low cost, and ability to extract a wide range of biological molecules. However, it does face limitations, such as its inefficiency in extracting lipids and potential RNA contamination. On the other hand, the TRIzol reagent method has become a widely adopted technique due to its ability to simultaneously isolate RNA, proteins, and metabolites from the same sample. Despite its effectiveness, the TRIzol method has limitations in RNA quality, especially when handling complex samples or those with high protein content. Modified Folch extraction, which combines liquid-liquid extraction with commercial kits, offers a highly efficient way to extract polar metabolites, lipids, RNA, DNA, and proteins from small tissue samples. This method has proven advantageous in terms of extraction yield, especially for challenging or rare samples, although it requires precise handling to avoid cross-contamination between phases. The integration of automated platforms, microfluidics, and high-throughput systems is another exciting avenue for improving simultaneous extraction. Automation facilitates large-scale, reproducible sample processing with minimal human error, while microfluidics provides high precision in sample handling and enables real-time monitoring of extraction efficiency. These innovations not only enhance the speed and reproducibility of sample preparation but also open new possibilities for single-cell analysis, where sample volumes are often limited, and extraction efficiency is critical. In addition to the technical aspects, the review also highlights the importance of optimizing extraction protocols for specific sample types, such as clinical tissues, plants, and microorganisms. For example, the challenge of extracting multiple components from cancer tissues, where sample degradation and contamination risks are high, can be mitigated by carefully selecting extraction reagents and minimizing sample handling steps. Similarly, in plant studies, where metabolite diversity is vast, the simultaneous extraction methods must be optimized to account for the unique composition of plant tissues, which often include complex secondary metabolites and cell wall components. Looking forward, the development of more efficient and standardized simultaneous extraction methods will be crucial for advancing multi-omics research. There is a growing need for protocols that can be tailored to specific research needs, ensuring both reproducibility and flexibility in diverse applications. Additionally, combining these extraction methods with high-resolution analytical techniques such as mass spectrometry and next-generation sequencing will further enhance the potential of multi-omics studies to provide comprehensive insights into biological systems. As these technologies continue to evolve, their application in personalized medicine, environmental research, and agriculture holds great promise for addressing critical scientific challenges. In conclusion, while simultaneous extraction technologies have made significant strides, several challenges remain in optimizing extraction efficiency, ensuring reproducibility, and reducing costs. Future research should focus on refining extraction protocols, developing innovative extraction reagents, and expanding the scope of these methods to cater to a broader range of biological samples. Ultimately, the continued integration of these advanced techniques will revolutionize the way biological samples are prepared, analyzed, and understood in the context of multi-omics research.

With the rapid development of the biopharmaceutical field, the efficient and simultaneous extraction of multiple biological components from biological samples has become a critical process for advancing scientific research. The ability to simultaneously extract various molecular components such as metabolites, DNA, RNA, and proteins is pivotal for multi-omics studies, which aim to comprehensively understand the molecular mechanisms of biological systems. Traditional methods often extract these components separately, leading to challenges such as sample loss, time consumption, contamination, and inconsistencies across different data types. In contrast, simultaneous extraction techniques address these issues by maintaining the consistency of each biological component’s physiological state, improving data reliability and facilitating integration across omic platforms. This review systematically summarizes recent advances in simultaneous extraction technologies, focusing on methods such as methanol/chloroform extraction, TRIzol reagent extraction, and modified Folch extraction, which have shown significant promise in improving the efficiency and integrity of biological sample preparation. These methods offer various advantages, such as reduced sample volume requirements, decreased contamination risk, and enhanced extraction consistency, which are crucial for studies involving small sample sizes or precious clinical specimens. Among these, methanol/chloroform extraction stands out for its simplicity, low cost, and ability to extract a wide range of biological molecules. However, it does face limitations, such as its inefficiency in extracting lipids and potential RNA contamination. On the other hand, the TRIzol reagent method has become a widely adopted technique due to its ability to simultaneously isolate RNA, proteins, and metabolites from the same sample. Despite its effectiveness, the TRIzol method has limitations in RNA quality, especially when handling complex samples or those with high protein content. Modified Folch extraction, which combines liquid-liquid extraction with commercial kits, offers a highly efficient way to extract polar metabolites, lipids, RNA, DNA, and proteins from small tissue samples. This method has proven advantageous in terms of extraction yield, especially for challenging or rare samples, although it requires precise handling to avoid cross-contamination between phases. The integration of automated platforms, microfluidics, and high-throughput systems is another exciting avenue for improving simultaneous extraction. Automation facilitates large-scale, reproducible sample processing with minimal human error, while microfluidics provides high precision in sample handling and enables real-time monitoring of extraction efficiency. These innovations not only enhance the speed and reproducibility of sample preparation but also open new possibilities for single-cell analysis, where sample volumes are often limited, and extraction efficiency is critical. In addition to the technical aspects, the review also highlights the importance of optimizing extraction protocols for specific sample types, such as clinical tissues, plants, and microorganisms. For example, the challenge of extracting multiple components from cancer tissues, where sample degradation and contamination risks are high, can be mitigated by carefully selecting extraction reagents and minimizing sample handling steps. Similarly, in plant studies, where metabolite diversity is vast, the simultaneous extraction methods must be optimized to account for the unique composition of plant tissues, which often include complex secondary metabolites and cell wall components. Looking forward, the development of more efficient and standardized simultaneous extraction methods will be crucial for advancing multi-omics research. There is a growing need for protocols that can be tailored to specific research needs, ensuring both reproducibility and flexibility in diverse applications. Additionally, combining these extraction methods with high-resolution analytical techniques such as mass spectrometry and next-generation sequencing will further enhance the potential of multi-omics studies to provide comprehensive insights into biological systems. As these technologies continue to evolve, their application in personalized medicine, environmental research, and agriculture holds great promise for addressing critical scientific challenges. In conclusion, while simultaneous extraction technologies have made significant strides, several challenges remain in optimizing extraction efficiency, ensuring reproducibility, and reducing costs. Future research should focus on refining extraction protocols, developing innovative extraction reagents, and expanding the scope of these methods to cater to a broader range of biological samples. Ultimately, the continued integration of these advanced techniques will revolutionize the way biological samples are prepared, analyzed, and understood in the context of multi-omics research.

Purpose: Patient-derived cells (PDCs) and patient-derived organoids (PDOs) are complementary preclinical models widely used in translational cancer research. However, their molecular and functional differences have not been systematically characterized. This study established and analyzed paired PDC and PDO models derived from the same gastric cancer ascites to delineate platform-dependent molecular and functional profiles. Materials and Methods: Malignant ascites or pleural fluid obtained from 6 patients with advanced gastric cancer were used to establish paired PDC and PDO models. All pairs underwent comprehensive multi-omics profiling, integrating genomic, transcriptomic, and proteomic data. Phenotypic characterization included morphological, histological, proliferative, and cell cycle analyses. Drug sensitivity assays were performed using 4 chemotherapeutic agents commonly used to treat gastric cancer. Results: The 6 paired PDC and PDO models exhibited distinct morphological characteristics.Whole-genome analyses demonstrated high concordance among primary tumors, PDCs, and PDOs, confirming tumor representation across platforms. Multi-omics profiling identified platform-dependent molecular signatures; PDOs were enriched for extracellular matrix remodeling and stemness, whereas PDCs displayed proliferation- and immune-related signatures. Clinically relevant biomarkers, including HER2 and MET alterations, were concordant with primary tumors. Notably, drug responses differed between platforms and patients, indicating platform-dependent and patient-specific chemosensitivity. Conclusions Paired PDC and PDO models derived from the same patients preserved core patient-specific tumor characteristics while exhibiting distinct molecular and functional profiles. These findings underscore the culture platform as a critical determinant of experimental outcomes and therapeutic responses. Therefore, careful selection of an appropriate preclinical model is essential to accurately address biological questions and optimize precision oncology strategies.

Objective: To investigate the awareness of knowledge about hepatitis C prevention and control among outpatients in Ningbo City, Zhejiang Province, and its influencing factors, so as to provide the evidence for strengthening health education on hepatitis C prevention and control. Methods: Based on sentinel surveillance of hepatitis C, the outpatients aged 15 to 65 years at seven hospitals in Yinzhou District, Cixi City and Xiangshan County of Ningbo City were selected using the convenient sampling method from April to June during 2020 and 2022. Demographic information, knowledge and behaviors related to hepatitis C prevention and control were collected through questionnaire surveys. The influencing factors for knowledge about hepatitis C prevention and control were analyzed using a multivariable logistic regression model. Results: A total of 2 792 participants were surveyed, including 1 157 males (41.44%) and 1 635 females (58.56%). The awareness rate of knowledge about hepatitis C prevention and control was 56.23%, and was lower in knowledge about hepatitis C vaccine and treatment. The awareness rates of knowledge about hepatitis C prevention and control among outpatients from 2020 to 2022 were 47.11%, 53.22% and 70.65%, respectively, showing an upward trend (P<0.05). Multivariable logistic regression analysis showed that participants aged 25 to <50 years (OR=1.358, 95%CI: 1.073-1.719), with an educational level of high school or junior college (OR=1.431, 95%CI: 1.134-1.806) or above junior college (OR=3.728, 95%CI: 2.958-4.699), with household monthly income per capita of 3 000 to <5 000 yuan (OR=1.828, 95%CI: 1.344-2.486) or ≥5 000 yuan (OR=1.858, 95%CI: 1.366-2.526), without a history of invasive treatments such as pedicure in public places (OR=1.287, 95%CI: 1.024-1.618), without a history of contact with family members' blood-contaminated items (OR=2.050, 95%CI: 1.552-2.707), and always using condoms during sexual contacts (OR=1.740, 95%CI: 1.273-2.378) had higher awareness of knowledge about hepatitis C prevention and control. Conclusions The awareness of knowledge about hepatitis C vaccine and treatment among outpatients in Ningbo City needs to be improved. Age, educational level, household monthly income per capita, history of invasive treatments such as pedicure in public places, history of contact with family members' blood-contaminated items and frequency of condom use during sexual contacts are associated with outpatients' awareness of knowledge about hepatitis C prevention and control.

Objective:To analyze the effect of meridian scraping combined with thunder fire moxibustion in improving the motor function and hemorheology of patients with shoulder hand syndrome (SHS) after ischemic stroke, in order to provide reference for clinical intervention of SHS patients after ischemic stroke.Methods:A prospective study was conducted using a simple random sampling method to select SHS patients after ischemic stroke admitted to Shijiazhuang Hospital of Traditional Chinese Medicine from January 2020 to June 2023, and were randomly divided into two groups. The thunder-fire moxibustion group were given routine nursing and thunder-fire moxibustion therapy, and the combined group were additionally given scraping therapy along meridians on the basis of thunder-fire moxibustion group. The Upper Limb Fugl-Meyer Motor Function Assessment Scale (U-FMA) score, Visual Analogue Scale (VAS) score, Action Research Arm Test (ARAT) score, shoulder joint activity score, hemorheological indicators (hematocrit, plasma viscosity, platelet adhesion rate) and activities of daily living (Barthel Index), etc. were compared between two groups before and after intervention.Results:Finally, 86 patients with SHS after ischemic stroke were included, with 42 patients in the thunder-fire moxibustion group, including 25 males and 17 females, aged (59.37 ± 7.64) years; 44 patients in the combined group, including 24 males and 20 females, aged (59.52 ± 7.61) years. Before intervention, there was no statistical significance in U-FMA score, VAS score, ARAT score, shoulder joint activity score, hemorheology index level and Barthel Index between two groups (all P>0.05). After intervention, the U-FMA score, ARAT score and Barthel Index in the combined group were (48.21 ± 4.85), (40.22 ± 4.64), (56.43 ± 9.76) points, respectively, which were higher than (44.56 ± 4.23), (35.98 ± 4.37), (51.97 ± 8.31) points in the thunder-fire moxibustion group, the differences were statistically significant ( t =3.71, 4.36, 2.28, all P<0.05). The VAS score, shoulder joint mobility score, blood cell volume, plasma viscosity and platelet adhesion rate in the combined group were (2.44 ± 0.87) points, (1.23 ± 0.25) points, 0.44 ± 0.02, (1.35 ± 0.32) mPa·s, (53.56 ± 5.71)%, respectively, which were lower than (3.05 ± 0.99) points, (1.58 ± 0.22) points, 0.46 ± 0.02, (1.72 ± 0.36) mPa·s, (62.53 ± 5.94)% in the thunder-fire moxibustion group, the differences were statistically significant ( t values were 3.04-7.14, all P<0.05). Conclusions:Scraping along meridians combined with thunder-fire moxibustion therapy can achieve good intervention effect in patients with SHS after ischemic stroke, improve the upper limb motor function and hemorheology of patients, and enhance the activities of daily living.

BACKGROUND:With aging,the regenerative capacity and differentiation function of bone marrow mesenchymal stem cells progressively decline,reducing bone tissue repair efficacy.Thus,identifying bone marrow mesenchymal stem cell subpopulations with enhanced osteogenic potential is of significant importance for advancing bone tissue engineering.OBJECTIVE:To evaluate the osteogenic differentiation potential differences between STRO-1 positive and negative bone marrow mesenchymal stem cells under osteogenic induction conditions.METHODS:SD rat bone marrow mesenchymal stem cells were isolated and cultured.The expression of CD29,CD45,CD90,and STRO-1 was identified via flow cytometry and immunofluorescence.Immunomagnetic cell sorting was used to separate STRO-1 positive and negative bone marrow mesenchymal stem cells.The cells of two groups were subjected to osteogenic induction for 7 and 14 days.qRT-PCR and western blotting were performed to analyze differences in osteogenesis-related gene expression(Collagen I,Runt-related transcription factor 2,osteoprotegerin,and osteocalcin)and protein levels.Alizarin red staining and alkaline phosphatase staining were used to observe calcium nodule formation.RESULTS AND CONCLUSION:Flow cytometry showed high expression levels of CD29 and CD90 and low expression of CD45,with a positive STRO-1 expression rate of 12.8％.Immunofluorescence results were consistent with those of flow cytometry.After magnetic cell sorting,STRO-1 positive cells demonstrated a higher colony formation rate than STRO-1 negative cells.On day 14,STRO-1 positive cells showed significantly higher osteogenic differentiation potential than on day 7,with significantly elevated osteogenesis-related marker levels compared to STRO-1 negative cells(P＜0.01).The findings indicate that STRO-1 positive bone marrow mesenchymal stem cells exhibit significant advantages in osteogenic potential,providing a theoretical basis for their selection as ideal seed cells in bone tissue engineering.In future applications,they may represent a promising therapeutic approach for bone defect repair.

OBJECTIVE To evaluate the performance of commonly used molecular biological identification methods in differential identification of Citrobacter freundii complex(Cfc)and find out the differences in the mass spectra among the prevalent species of Cfc so as to facilitate the rapid and accurate identification.METHODS Totally 150 clinical strains were isolated from The First Medical Center of Chinese PLA General Hospital from 2015 to 2020 and were identified as Cfc by means of matrix assisted laser desorption ionization-time-of-flight mass spectrometry(MALDI-TOF MS),the genome data were obtained by the next generation sequencing and were compared with reference genome of Citrobacter species from National Center of Biotechnology Information(NCBI)based on aver-age nucleotide identity(ANI),phylogenetic analyses of rec N gene,concatenated alignments of four housekeeping genes(fusA,pyrG,leuS and rpoB as well as gyrB,rplB,fusA and leuS),core genome single nucleotide poly-morphism(coreSNP)and whole genome(WG),digital DNA-DNA hybridization(dDDH)analysis,ribosomal multilocus sequence typing(rMLST)and typical(strain)genome service(TYGS)analysis.ANI was set as the'gold standard' for the identification of the Cfc strains,and the capabilities of the various methods were evaluated.A certain number of strains of Citrobacter freundii(Cfr),Citrobacter braakii(Cbr)and Citrobacter portucalen-sis(Cpo)were randomly selected to obtain and compare the mass spectra so as to find out the differences in the mass spectra.RESULTS The identification capability of the Cfc strains is limited based on the available database for MALDI-TOF MS,Cpo was prone to be misidentified as Cfr or Cbr.The mass spectrum between Cpo and Cfr ranged between 2600 and 2660 m/z,the mass spectrum between Cpo and Cbr ranged between 5200 and 5300 m/z,showing significant difference.The concatenated alignments of four housekeeping genes gyrB,rplB,fusA and leuS,CoreSNP and WG phylogenetic analysis had high accurate rate of identification.CONCLUSIONS The meth-ods have certain limitations in identification of Cfc.The joint application of ANI with the methods such as WG phylogenetic analysis,update of mass spectrum database and timely establishment of database can achieve the ac-curate identification of the species of Cfc.

Objective To investigate the anti-tumor mechanism of natural compound toosendanin(TSN)combined with olaparib in triple-negative breast cancer(TNBC).Methods Human TNBC cell line MDA-MB-231 was cultured in vitro.Effects of TSN combined with olaparib on autophagy levels and cell viability in MDA-MB-231 cells were evaluated using 0.5,1.0,and 5.0 μmol/L olaparib alone or in combination.Surgical specimens from four TNBC patients who had residual tumors after neoadjuvant chemotherapy were selected to establish patient-derived organoid(PDO)models.The drug sensitivity of TSN combined with olaparib in TNBC patients was detected.Whether TSN combined with olaparib can exert autophagy inhibitory effects and tumor-killing effects in organoid model was verified.Results Olaparib induced autophagy in MDA-MB-231 cell line,and the combination of TSN and olaparib inhibited the proliferation of MDA-MB-231 cells(P＜0.01).In the TNBC PDOs model,the therapeutic effect of olaparib combined with TSN can significantly reduce the proliferation ability of tumor cells compared with olaparib alone.Conclusion The tumor-killing effect of TSN combined with olaparib is superior to that of olaparib alone,and the mechanism may be related to autophagy inhibition.

Objective To systematically evaluate robot-assisted gait training(RAGT)on motor function,ambulation and activities of daily living of patients after stroke and spinal cord injury(SCI),and to investigate the clinical value of differ-ent robotic technologies and control strategies.Methods In accordance with PRISMA guidelines,relevant randomized controlled trials(RCTs)published between 2020 and 2024 were identified from databases including Scopus,Web of Science,PubMed,Cochrane Library and CNKI.The PEDro scale was used to assess methodological quality,and a comprehensive analysis was performed on the therapeutic effects of RAGT on walking ability,balance,lower limb muscle strength and functional inde-pendence.Results Eight RCTs involving 702 participants were included,originating from countries such as China,Italy,India,Tur-key and Poland.The population consisted of adult patients with various subtypes of stroke or SCI.These studies were published in journals across geriatric neuroscience,biosciences,medicine and sports science.Interventions involved three categories of lower limb exoskeleton including treadmill-based systems(end-effector and exoskel-eton models),overground exoskeletons and specialized joint/platform-based robots.The training frequency was 20 to 45 minutes a time,once to twice a day,one to seven days a week,for a total of two to ten weeks.RAGT might significant improve gait parameters and lower limb muscle strength,though its impact on functional inde-pendence was heterogeneous.Adaptive control strategies(e.g.,assist-as-needed)proved superior to fixed-parame-ter modes.Treadmill-based systems(e.g.,Lokomat)were well-suited for early-stage rehabilitation,while over-ground exoskeletons(e.g.,EKSO-GT)better facilitated adaptation to real-world environments.Conclusion RAGT is an effective modality for improving gait and lower limb function of patients with stroke and SCI.The therapeutic outcome is contingent upon personalized setup of the exoskeleton and the implementation of adaptive control strategies.Different adaptive control modes have been developed for the three main types of lower limb exoskeleton.Rehabilitation training should consider the specific lower limb tasks with the robot's cor-responding adaptive movement and control modes.