With the rapid advancement of hemodynamic indices and monitoring technologies, their classification methods and application processes have become increasingly complex. Currently, no unified standard hasbeen established, making it difficult to fully meet the clinical requirements for hemodynamic management. To assist in hemodynamic monitoring assessment and therapeutic decision-making in critically ill patients, the Critical Hemodynamic Therapy Collaborative Group, in conjunction with the Critical Ultrasound Study Group, has jointly developed the Standard for the Application of Hemodynamic Monitoring Techniques in Critical Care. The first part of this standard systematically categorizes hemodynamic indicators into flow indicators, pressure and its derivative indicators, and tissue perfusion indicators, while elaborating on the clinical application of each. The second part establishes a standardized clinical implementation pathway for hemodynamic monitoring. It proposes a tiered monitoring strategy-comprising basic, advanced, indication-specific, and special scenario monitoring-tailored to different clinical settings. It emphasizes the central role of critical care ultrasound across all levels of monitoring and establishes hemodynamic assessment standards for organs such as the brain, kidneys, and gastrointestinal tract. This standard aims to provide a unified framework for clinical practice, teaching, training, and research in critical care medicine, thereby promoting standardized development within the discipline.

Histone lactylation is a recently identified post-translational modification, wherein lactate mediates the enzymatic addition of lactyl groups to lysine residues on histones. Since its discovery, extensive research has demonstrated that histone lactylation is widely present in human tissues and plays a pivotal role in regulating the transcription of specific genes. Subsequent studies have further established this modification as a widespread epigenetic mark with significant physiological implications. With advancing research, accumulating evidence confirms that lactylation at distinct histone sites elicits diverse biological effects—such as promoting cell proliferation, driving inflammatory responses, and enhancing fibrosis—all of which profoundly influence disease progression and serve as key drivers of disease onset and development. Conversely, inhibiting histone lactylation can alter disease outcomes, positioning histone lactylation as a promising therapeutic target. Moreover, studies have revealed crosstalk between histone lactylation and other post-translational modifications, such as acetylation and methylation, which collectively regulate disease progression. Notably, lactylation occurs not only on histones but also on non-histone proteins. Histone lactylation activates specific gene transcription and reshapes metabolic epigenetics, while non-histone lactylation directly modulates enzyme activity, signal transduction, and protein stability. These two facets form a synergistic network through shared lactate pools, common modifying enzyme systems, and pathway crosstalk, thereby constructing a multi-dimensional regulatory framework—namely, the “histone lactylation-metabolism hub-non-histone lactylation” axis. This architecture bridges metabolism and epigenetics, and deciphering its topological structure may provide novel targets for precise intervention in diseases driven by lactate-mediated signaling hijacking. Traditional Chinese medicine (TCM), grounded in clinical practice, has been shown to regulate histone lactylation by modulating lactate metabolism and lactylation-related enzymes, thereby influencing disease progression. Moreover, certain TCM formulations exhibit potential as alternative therapies for drug-resistant diseases, underscoring the significance of further exploring TCM-mediated regulation of histone lactylation in future therapeutic strategies. This review aims to elucidate the mechanisms underlying histone lactylation, systematically delineate the associations between site-specific histone lactylation and various diseases, present a comprehensive landscape of the “lactate-histone lactylation and functional protein lactylation” axis, and summarize the mechanistic basis and research advances in TCM-mediated regulation of histone lactylation for disease treatment. Additionally, we discuss current challenges in histone lactylation research and propose future directions, ultimately aiming to deepen understanding and broaden perspectives on the roles and therapeutic potential of histone lactylation in disease.

ObjectiveTo evaluate the efficacy and safety of Janus kinase （JAK） inhibitors combined with Chinese herbal medicine （CHM） in treating rheumatoid arthritis （RA）. MethodsClinical data from 169 RA patients were retrospectively collected. Among them， 71 cases received JAK inhibitors as the control group， while 98 cases received JAK inhibitors plus CHM as the observation group， both treated for 24 weeks. The rheumatoid factor （RF）， cyclic citic peptide antibody （anti-CCP）， erythrocyte sedimentation rate （ESR）， C-reactive protein （CRP）， and white blood cell count （WBC） were recorded before and after treatment. Databases including CNKI， Wanfang， VIP， PubMed and Web of Science were searched from inception till August 31st， 2025 for randomized controlled trials （RCTs） on the combined use of JAK inhibitors and CHM for RA. The methodological quality of the included studies was evaluated using the risk of bias assessment tool. Meta-analyses were performed for RF， anti-CCP， ESR， CRP， 28-joint disease activity score （DAS28）， overall clinical effective rate， and incidence of adverse events. Sensitivity analysis were also performed. ResultsThe retrospective study demonstrated that after treatment， ESR， CRP， and anti-CCP levels decreased in the observation group， while ESR and CRP levels decreased in the control group （P＜0.05）. Moreover， ESR and RF levels in the observation group were lower than those in the control group （P＜0.05）. A total of 9 RCTs involving 770 patients were included in the meta-analysis. The results indicated that the JAK inhibitors plus CHM group was superior to the JAK inhibitors group in reducing RF （MD=-8.97， 95%CI -15.01 to -2.94， P=0.004）， CRP （MD=-3.34， 95%CI -3.82 to -2.86， P＜0.001）， ESR （MD=-5.33， 95%CI -7.98 to -2.69， P＜0.001）， and DAS28 score （MD=-0.54， 95%CI -0.74 to -0.34， P＜0.001）， as well as in improving the overall clinical effective rate （OR=4.53， 95%CI 2.55 to 8.03， P＜0.001）. No statistically significant differences were observed between groups in anti-CCP levels （SMD=-2.08， 95%CI -4.41 to 0.24， P=0.080） or incidence of adverse events （OR=0.93， 95%CI 0.55 to 1.57， P=0.790）. ConclusionThe combination of JAK inhibitors and CHM demonstrates remarkable efficacy in treating RA， contributing to improved disease activity and reduced inflammatory markers with a favorable safety profile.

ObjectiveTo compare the differences in fungal community composition between lesional and non-lesional scalp areas in patients suffering from severe alopecia areata （AA）， and compare these with healthy scalp areas in control subjects. Additionally， to preliminarily explore the changes in scalp fungal communities in severe AA patients and their potential underlying immunological mechanisms. MethodsA total of 20 severe AA patients and 18 healthy controls were enrolled. Skin swab samples were collected from lesional and non-lesional scalp areas of severe AA patients， as well as from the normal scalp of healthy controls. The fungal internal transcribed spacer （ITS） region was amplified and analyzed using high-throughput sequencing. ResultsThe lesional scalp areas of severe AA patients exhibited higher α-diversity and species richness in fungal communities. Notably， the relative abundance of Ascomycota， along with genera such as Mycosphaerella， Aspergillus， Penicillium， and Wallemia， significantly increased in the bald regions. In contrast， Acremonium and Schizophyllum were more predominant in the non-lesional areas of severe AA patients. ConclusionDistinct region-specific differences in scalp fungal microbiota in severe AA patients suggests that fungal dysbiosis may play a potential role in the pathogenesis of alopecia areata. These findings provide new insights into the disease characteristics of severe AA from the perspective of scalp microecology.

Objective: To develop a RHCE genotyping assay based on kompetitive allele-specific PCR (KASP) and assess its clinical accuracy for RhCE blood group determination. Methods: KASP primers were designed to interrogate three RHCE loci: the 109 bp insertion/deletion in intron 2, c. 307T>C, and c. 676C>G. A total of 1 194 RhD-positive inpatients from Chengdu were typed by both KASP genotyping and manual tube serology. Discordant samples (n=10) were retested by both methods and further resolved by Sanger sequencing. An additional 377 cases were tested for the c. 48C>G locus to evaluate the predictive accuracy of individual loci and combined locus testing for RhC antigen. Results: Genotyping concordance with serology was 100.0% for both the c. 676C>G locus (RhE/Rhe) and the c. 307T>C locus (Rhc). For RhC prediction using the 109 bp insertion, overall accuracy was 99.7% (1 191/1 194); the 3 discordant cases were confirmed by Sanger sequencing to be false negatives attributable to 109 bp deletion in intron 2. Testing the c. 48C>G allele for RhC prediction yielded 7 false positives, with an accuracy of 98.1% (370/377). RhC antigen status was determined by combining the 109 bp insertion and the c. 48C allele. After excluding 10 samples with inconsistent results between the two loci, the accuracy reached 100% in the remaining 367 samples. When both loci were applied in combination, accuracy reached 100% in the 367 cases with concordant results. Among the 1 194 patients, CCee (45.8%) and CcEe (31.7%) were the most common RhCE phenotypes. The e antigen had the highest positivity rate (92.2%), and the Ce haplotype was the most frequent (66.9%). Conclusion: The KASP-based RHCE genotyping method achieves high accuracy for clinical RhCE typing. Combining the 109 bp insertion/deletion with the c. 48C allele significantly improves RhC antigen prediction compared with either locus alone. This method was applied to RhCE genotyping of 1 194 RhD-positive inpatients in Chengdu, providing local RhCE phenotype and haplotype distribution data to support RhCE-matched transfusion practice.

Objective To compare the efficacy and safety of the transperineal four-hole prostate puncture with conventional transperineal prostate puncture. Methods A total of 91 patients undergoing transperineal prostate puncture at the Second Hospital of Hebei Medical University during Jan. 2024 and Jan. 2025 were enrolled. Based on the puncture methods, the patients were divided into the four-hole group(n=46)and conventional group(n=45). The four-hole group underwent four-hole puncture, while the conventional group received standardized parallel needle insertion. The operation time, intraoperative blood loss, pain score, positive biopsy rate, and complications were compared between the two groups. Results The intraoperative blood loss [(7.05±2.48)mL vs.(9.15±3.49)mL] and pain score [(2.33±1.55)vs.(3.02± 1.54)] of the four-hole group were significantly lower than those of the conventional group(P＜0.05). No significant differences were observed in the positive biopsy rate [47.8%(22/46)vs. 46.7%(21/45)] or operation time [(18.83±2.49)min vs.(18.07±1.66)min](P＞0.05). The total complication rate in the four-hole group was significantly lower than that in the conventional group [21.7%(10/46)vs. 42.2%(19/45), P＜0.05]. Conclusion Compared with the conventional parallel needle insertion method, the four-hole puncture technique reduces the intraoperative blood loss, alleviates trauma severity and pain response, and reduces the complication rate.

OBJECTIVE To evaluate the cost-effectiveness of lecanemab for early Alzheimer disease （AD） from a whole-society perspective. METHODS Based on data from the Clarity AD study， a global multicenter， randomized， double-blind， placebo-controlled study of lecanemab for early AD， a Markov model was developed according to the disease progression of AD， with a monthly cycle and a time horizon extending to 99% patient mortality. Quality-adjusted life year （QALY） and incremental cost-effectiveness ratio （ICER） were used as outcome indicators， with a willingness-to-pay （WTP） threshold set at twice China’s per capita gross domestic product （GDP） for 2025 （199 330.00 yuan/QALY）. The model simulated the cost-effectiveness of lecanemab plus standard of care （SoC） versus placebo plus SoC for early AD. One-way sensitivity analysis， probabilistic sensitivity analysis， and scenario analysis were employed to test the robustness of the results. RESULTS Compared with placebo plus SoC， the ICER for lecanemab plus SoC was 4 364 711.54 yuan/QALY. One-way sensitivity analysis showed that the hazard ratio for disease progression， the price of lecanemab， body weight， the monthly progression probability of mild cognitive impairment， and the discount rate were key parameters affecting model robustness. Results of the probabilistic sensitivity analysis showed that the probability of lecanemab being cost-effective was 0 at the current WTP threshold. Scenario analysis indicated that a price reduction of at least 94.88% would be required for lecanemab to fall below the WTP threshold. CONCLUSIONS At the current WTP threshold， lecanemab plus SoC is not cost-effective compared with placebo plus SoC for early AD.

OBJECTIVE To evaluate the cost-effectiveness of lecanemab for early Alzheimer disease （AD） from a whole-society perspective. METHODS Based on data from the Clarity AD study， a global multicenter， randomized， double-blind， placebo-controlled study of lecanemab for early AD， a Markov model was developed according to the disease progression of AD， with a monthly cycle and a time horizon extending to 99% patient mortality. Quality-adjusted life year （QALY） and incremental cost-effectiveness ratio （ICER） were used as outcome indicators， with a willingness-to-pay （WTP） threshold set at twice China’s per capita gross domestic product （GDP） for 2025 （199 330.00 yuan/QALY）. The model simulated the cost-effectiveness of lecanemab plus standard of care （SoC） versus placebo plus SoC for early AD. One-way sensitivity analysis， probabilistic sensitivity analysis， and scenario analysis were employed to test the robustness of the results. RESULTS Compared with placebo plus SoC， the ICER for lecanemab plus SoC was 4 364 711.54 yuan/QALY. One-way sensitivity analysis showed that the hazard ratio for disease progression， the price of lecanemab， body weight， the monthly progression probability of mild cognitive impairment， and the discount rate were key parameters affecting model robustness. Results of the probabilistic sensitivity analysis showed that the probability of lecanemab being cost-effective was 0 at the current WTP threshold. Scenario analysis indicated that a price reduction of at least 94.88% would be required for lecanemab to fall below the WTP threshold. CONCLUSIONS At the current WTP threshold， lecanemab plus SoC is not cost-effective compared with placebo plus SoC for early AD.

ObjectiveTo optimize the flow cytometric sorting workflow for myeloid-derived suppressor cells （MDSCs） from murine Lewis lung carcinoma （LLC） subcutaneous tumor tissues， improving single-cell suspension preparation efficiency and sorting purity， thereby providing high-quality cells for subsequent functional studies. MethodsSubcutaneous LLC tumor tissues were harvested from C57BL/6 mice， and two enzymatic digestion protocols were first compared to evaluate their effects on single-cell suspension preparation. After staining with a viability dye （Live/Dead） and fluorochrome-conjugated anti-mouse antibodies against CD45， CD11b， and Gr-1， cells were loaded onto a Beckman CytoFLEX cell sorter. Next， conventional and optimized gating strategies were applied. In the optimized strategy， the CD45⁺ population was used as the initial gate to directly define an MDSC-enriched region， followed by selection of CD11b⁺Gr-1⁺ cells. Finally， purity was assessed by flow cytometry， viability was determined by trypan blue staining， and RT-qPCR was performed to measure the expression of MDSC signature genes， including Arg1， Nos2， IL-10， and S100A8/A9. ResultsThe optimized enzymatic digestion protocol significantly increased the yield and viability of single cells. After optimization of the gating strategy， the post-sort positivity rate （purity） was markedly improved. Arg1， Nos2， IL-10 and S100A8/A9 were highly expressed in the sorted cells， indicating that the isolated cells retained characteristic MDSC features and functional signatures. ConclusionBy optimizing both the tissue digestion protocol and the flow cytometric gating strategy， we establish an efficient workflow for isolating MDSCs from tumor tissues. This method improves the yield and purity of single-cell preparations while preserving antigen integrity， providing a reliable methodological foundation for subsequent studies on MDSC function and metabolism.

Colorectal cancer (CRC) is characterized by persistently high incidence and mortality. Current therapies are limited by drug resistance and modest patient benefit, underscoring the urgent need for new perspectives rooted in tumor biology. The unique metabolic landscape of CRC makes it an ideal model in which to dissect the pathological roles of lactylation regulatory networks: microsatellite-stable (MSS) CRC, which accounts for approximately 85% of cases, concurrently upregulates glycolysis and oxidative phosphorylation, engaging in intense metabolic competition with immune cells; the intratumoral lactate pool exhibits a distinctive “dual-source supply” feature—in addition to tumor-intrinsic glycolysis, substantial exogenous lactate is provided by gut microbiota dysbiosis and by colonizing bacteria within liver metastases; high-frequency oncogenic mutations and lactylation modifications establish a feed-forward circuit of “oncogene-driven lactate accumulation-lactylation-facilitated tumor progression”. Moreover, MSS CRC displays near-complete unresponsiveness to immune checkpoint inhibitors, a phenomenon underpinned by multiple immune evasion mechanisms mediated by lactate and lactylation. Lactate metabolism is a hallmark of metabolic reprogramming in cancer. Lactate homeostasis provides tumor cells with metabolic substrates, modulates redox status, and regulates fatty acid metabolism to promote malignant progression. Notably, lactate can drive lactylation—an emerging post-translational modification (PTM) in which lactyl groups are attached to lysine residues, dynamically governing gene transcription and protein function and thereby establishing a bridge between metabolism and epigenetics. Lactate and lactylation form a multidimensional, coordinated network: lactylation of key metabolic enzymes such as LDHA reinforces a positive feedback loop that sustains lactate production; lactylation of upstream transcription factors such as HIF-1α drives metabolic reprogramming; furthermore, lactylation engages in crosstalk with m6A and m5C RNA modifications as well as with other PTMs such as acetylation, profoundly reshaping cellular behavior. In CRC, histone lactylation drives malignant phenotypes by activating immunosuppressive programs, inhibiting ferroptosis, and promoting invasion and migration; non-histone lactylation accelerates translation elongation, stabilizes β‑catenin, maintains redox homeostasis, and prevents PD-L1 degradation, thereby facilitating tumor progression. Lactylation-related gene signatures have demonstrated potential for prognostic stratification. Therapeutic strategies targeting the lactylation network range from upstream metabolic intervention to modulation of the modifying enzymes and direct blockade of lactylation modifications, forming a hierarchical interventional framework. However, current evidence derives predominantly from cell lines and xenograft models, and a causal relationship between lactylation and malignant progression in CRC has yet to be rigorously established. Whether inhibition of lactylation can alter CRC phenotypes independently of metabolic alterations and acetylation fluctuations remains a central unanswered question in the field. This review systematically examines the research progress and translational challenges surrounding lactylation regulatory networks, aiming to provide a circumspect assessment to inform the development of novel therapeutic strategies for CRC.