1.Standards for the Application of Hemodynamic Monitoring Technology in Critical Care
Hua ZHAO ; Hongmin ZHANG ; Xin DING ; Huan CHEN ; Jun DUAN ; Wei DU ; Bo TANG ; Yuankai ZHOU ; Dongkai LI ; Xinchen WANG ; Cui WANG ; Gaosheng ZHOU ; Xiaoting WANG
Medical Journal of Peking Union Medical College Hospital 2026;17(1):73-85
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.
2.Early screening strategies for metabolic associated fatty liver disease
Kaiye HUA ; Mengfan JIA ; Yingwei ZHU ; Zhonghua LU ; Jian LU ; Hong TANG
Journal of Clinical Hepatology 2026;42(2):420-426
Metabolic associated fatty liver disease (MAFLD) is a common chronic liver disease worldwide, and timely and precise intervention can delay disease progression and significantly reduce the risk of serious complications such as liver fibrosis, liver cirrhosis, and liver cancer. Although traditional liver biopsy combined with metabolic markers is the gold standard, it may cause complications such as pain and bleeding as an invasive examination, which has promoted scientific research to shift its focus to the construction of noninvasive assessment systems. In recent years, noninvasive diagnostic technologies based on multi-dimensional detection strategies have been continuously updated, including serological models, imaging techniques, and clinical algorithms. This article systematically reviews the screening methods for MAFLD during the fibrotic stages F1—F3, especially deep learning models based on artificial intelligence, in order to provide ideas for the early screening of MAFLD, as well as a scientific reference for optimizing disease management strategies.
3.Divergent Small Vessel Disease Burden in Warfarin-Associated and Direct Oral Anticoagulant-Associated Intracerebral Hemorrhage
Sung-Chun TANG ; Ya-Fang CHEN ; Chih-Hao CHEN ; Ching-Hua KUO ; Yuan-Chang CHAO ; Yu-Fong PENG ; Shu-Wen LIN ; Shin-Yi LIN ; Jiann-Shing JENG
Journal of Stroke 2026;28(2):334-338
4.SUVmax, extraocular muscle diameter, and TRAb in assessing inflammatory activity of thyroid-associated ophthalmopathy
Weijing KONG ; Yan GUO ; Mengting HUA ; Cuishuang DING ; Hairong ZHONG ; Meiting TANG
International Eye Science 2026;26(8):1491-1495
AIM: To investigate the value of maximum standardized uptake value(SUVmax), extraocular muscle(EOM)diameter, and thyroid stimulating hormone receptor antibody(TRAb)in evaluating inflammatory activity in thyroid-associated ophthalmopathy(TAO).METHODS: TAO patients underwent orbital 99mTc-DTPA SPECT/CT imaging at the Affiliated Hospital of Panzhihua University between January 2023 and December 2024 were retrospectively enrolled. According to the clinical activity score(CAS), patients were classified into an active group and an inactive group. SUVmax and EOM were independently measured by three nuclear medicine physicians, and the mean values were used for analysis. Serum TRAb levels from TAO patients were measured using a fully automated electrochemiluminescence immunoassay analyzer. Nonparametric tests were used to compare differences between the two groups. Spearman correlation analysis was performed to assess the correlations of CAS with SUVmax, EOM, and TRAb. Using CAS as the reference standard, receiver operating characteristic(ROC)curves were plotted to evaluate the diagnostic performance of SUVmax, EOM, and TRAb, as well as their combination. Intraclass correlation coefficient(ICC)was used for reliability analysis to evaluate the consistency of SUVmax and EOM among the 3 measurers.RESULTS: A total of 99 patients(198 eyes)with TAO were enrolled in this study, including 38 males and 61 females, aged 16-74(46.92±11.84)y. The active group comprised 46 patients(92 eyes), aged 16-71(48.40±12.02)y, with 25 males and 21 females. The inactive group included 53 patients(106 eyes), aged 17-74(45.46±11.59)y, consisting of 13 males and 40 females. There were no statistically significant differences between the two groups in terms of gender and age(P>0.05). Statistically significant differences were observed in SUVmax, EOM, and TRAb. Compared with the inactive group, the active group showed higher SUVmax, EOM, and TRAb levels(all P<0.01). Correlation analysis showed that CAS was positively correlated with SUVmax, EOM, and TRAb(r=0.734, 0.622, and 0.404, respectively, all P<0.01). ROC curves were plotted using CAS as the reference standard, and the AUCs for SUVmax, EOM, TRAb, and their combined diagnosis were 0.874, 0.797, 0.715, and 0.892, respectively. The ICC of SUVmax and EOM were 0.925(95%CI: 0.901-0.948, P<0.001)and 0.943(95%CI: 0.907-0.964, P<0.001)respectively.CONCLUSION: Beyond CAS, there is a need to identify objective imaging and serological biomarkers. Measurements of SUVmax and EOM provide visualized and quantifiable tools for assessing TAO activity, and their combination with TRAb can further improve the accuracy of activity assessment.
5.Structure and Function of GPR126/ADGRG6
Ting-Ting WU ; Si-Qi JIA ; Shu-Zhu CAO ; De-Xin ZHU ; Guo-Chao TANG ; Zhi-Hua SUN ; Xing-Mei DENG ; Hui ZHANG
Progress in Biochemistry and Biophysics 2025;52(2):299-309
GPR126, also known as ADGRG6, is one of the most deeply studied aGPCRs. Initially, GPR126 was thought to be a receptor associated with muscle development and was primarily expressed in the muscular and skeletal systems. With the deepening of research, it was found that GPR126 is expressed in multiple mammalian tissues and organs, and is involved in many biological processes such as embryonic development, nervous system development, and extracellular matrix interactions. Compared with other aGPCRs proteins, GPR126 has a longer N-terminal domain, which can bind to ligands one-to-one and one-to-many. Its N-terminus contains five domains, a CUB (complement C1r/C1s, Uegf, Bmp1) domain, a PTX (Pentraxin) domain, a SEA (Sperm protein, Enterokinase, and Agrin) domain, a hormone binding (HormR) domain, and a conserved GAIN domain. The GAIN domain has a self-shearing function, which is essential for the maturation, stability, transport and function of aGPCRs. Different SEA domains constitute different GPR126 isomers, which can regulate the activation and closure of downstream signaling pathways through conformational changes. GPR126 has a typical aGPCRs seven-transmembrane helical structure, which can be coupled to Gs and Gi, causing cAMP to up- or down-regulation, mediating transmembrane signaling and participating in the regulation of cell proliferation, differentiation and migration. GPR126 is activated in a tethered-stalk peptide agonism or orthosteric agonism, which is mainly manifested by self-proteolysis or conformational changes in the GAIN domain, which mediates the rapid activation or closure of downstream pathways by tethered agonists. In addition to the tethered short stem peptide activation mode, GPR126 also has another allosteric agonism or tunable agonism mode, which is specifically expressed as the GAIN domain does not have self-shearing function in the physiological state, NTF and CTF always maintain the binding state, and the NTF binds to the ligand to cause conformational changes of the receptor, which somehow transmits signals to the GAIN domain in a spatial structure. The GAIN domain can cause the 7TM domain to produce an activated or inhibited signal for signal transduction, For example, type IV collagen interacts with the CUB and PTX domains of GPR126 to activate GPR126 downstream signal transduction. GPR126 has homology of 51.6%-86.9% among different species, with 10 conserved regions between different species, which can be traced back to the oldest metazoans as well as unicellular animals.In terms of diseases, GPR126 dysfunction involves the pathological process of bone, myelin, embryo and other related diseases, and is also closely related to the occurrence and development of malignant tumors such as breast cancer and colon cancer. However, the biological function of GPR126 in various diseases and its potential as a therapeutic target still needs further research. This paper focuses on the structure, interspecies differences and conservatism, signal transduction and biological functions of GPR126, which provides ideas and references for future research on GPR126.
6.Changes in composition and function of intestinal microbiota after cholecystectomy
Hongfei JIANG ; Min YANG ; Jincheng JIAN ; Hua DIAO ; Jianchun ZHOU ; Yusong GE ; Zhanjie HOU ; Bo TANG
Journal of Army Medical University 2025;47(8):826-835
Objective To analyze the correlation of cholecystectomy and changes in intestinal microbiota composition and function by observing functional characteristics of differential microbial communities.Methods A cross-sectional study was conducted on the patients(PC group,n=73)undergoing cholecystectomy in our hospital from 2020 to 2021.Another 56 healthy age-and gender-matched individuals(HC group)without a history of cholecystectomy were subjected and served as the control group.Fecal specimens were collected from the 2 groups.16S rRNA sequencing analysis was performed to examine the changes in composition and function of intestinal microbiota.Results There were no statistical differences between the 2 groups in baseline indicators,such as gender,age,BMI,smoking and drinking history,blood pressure,heart rate,and comorbidities,but significant difference was observed in total bilirubin(TBIL)between them(P<0.01).Alpha diversity analysis showed no significant difference in Chao1,Shannon,and Simpson indices between the 2 groups.Beta diversity analysis using the Bray-Curtis distance algorithm revealed a significant difference between the 2 groups at the class and genus levels(P<0.05).The analysis of microbiota relative abundance using LEFSE showed that Enterobacteriaceae,Lactobacillales,Citrobacter,Megasphaera,Lactobacillus,Enterococcus,Akkermansia,Streptococcus,Klebsiella,and Ruminococcus_gnavus were up-regulated in the PC group,and Lachnospiraceae,Sutterellaceae,Lachnospirales,Lachnospira,and Sutterella were down-regulated.Kyoto Encyclopedia of Genes and Genomes(KEGG)functional prediction analysis indicated that significant differences were seen between the 2 groups in metabolic pathways,including ascorbic acid(vitamin C)metabolism and aldonic acid metabolism(P<0.05),tricarboxylic acid cycle(TCA cycle)(P<0.05),glutathione metabolism(P<0.05),glutamic acid metabolism(P<0.05),secondary bile acid metabolism(P<0.05),and pentose phosphate pathway(P<0.01).Conclusion Cholecystectomy is closely associated with the structural alterations in the composition of intestinal microbiota.Variations in microbiota composition and function may induce perturbations in TCA cycle and glutathione metabolism,glutamate metabolism,secondary bile acid metabolism,and pentose phosphate pathways.
7.Graph Neural Networks and Multimodal DTI Features for Schizophrenia Classification: Insights from Brain Network Analysis and Gene Expression.
Jingjing GAO ; Heping TANG ; Zhengning WANG ; Yanling LI ; Na LUO ; Ming SONG ; Sangma XIE ; Weiyang SHI ; Hao YAN ; Lin LU ; Jun YAN ; Peng LI ; Yuqing SONG ; Jun CHEN ; Yunchun CHEN ; Huaning WANG ; Wenming LIU ; Zhigang LI ; Hua GUO ; Ping WAN ; Luxian LV ; Yongfeng YANG ; Huiling WANG ; Hongxing ZHANG ; Huawang WU ; Yuping NING ; Dai ZHANG ; Tianzi JIANG
Neuroscience Bulletin 2025;41(6):933-950
Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans
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Schizophrenia/pathology*
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Diffusion Tensor Imaging/methods*
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Male
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Female
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Adult
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Brain/metabolism*
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Young Adult
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Middle Aged
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White Matter/pathology*
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Gene Expression
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Nerve Net/diagnostic imaging*
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Graph Neural Networks
8.Oral submucous fibrosis: pathogenesis and therapeutic approaches.
Jianfei TANG ; Junjie LIU ; Zekun ZHOU ; Xinyan CUI ; Hua TU ; Jia JIA ; Baike CHEN ; Xiaohan DAI ; Ousheng LIU
International Journal of Oral Science 2025;17(1):8-8
Oral submucous fibrosis (OSF), characterized by excessive deposition of extracellular matrix (ECM) that causes oral mucosal tissue sclerosis, and even cancer transformation, is a chronic, progressive fibrosis disease. However, despite some advancements in recent years, no targeted antifibrotic strategies for OSF have been approved; likely because the complicated mechanisms that initiate and drive fibrosis remain to be determined. In this review, we briefly introduce the epidemiology and etiology of OSF. Then, we highlight how cell-intrinsic changes in significant structural cells can drive fibrotic response by regulating biological behaviors, secretion function, and activation of ECM-producing myofibroblasts. In addition, we also discuss the role of innate and adaptive immune cells and how they contribute to the pathogenesis of OSF. Finally, we summarize strategies to interrupt key mechanisms that cause OSF, including modulation of the ECM, inhibition of inflammation, improvement of vascular disturbance. This review will provide potential routes for developing novel anti-OSF therapeutics.
Humans
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Oral Submucous Fibrosis/immunology*
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Extracellular Matrix/metabolism*
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Myofibroblasts
9.Expert consensus on the prevention and treatment of radiochemotherapy-induced oral mucositis.
Juan XIA ; Xiaoan TAO ; Qinchao HU ; Wei LUO ; Xiuzhen TONG ; Gang ZHOU ; Hongmei ZHOU ; Hong HUA ; Guoyao TANG ; Tong WU ; Qianming CHEN ; Yuan FAN ; Xiaobing GUAN ; Hongwei LIU ; Chaosu HU ; Yongmei ZHOU ; Xuemin SHEN ; Lan WU ; Xin ZENG ; Qing LIU ; Renchuan TAO ; Yuan HE ; Yang CAI ; Wenmei WANG ; Ying ZHANG ; Yingfang WU ; Minhai NIE ; Xin JIN ; Xiufeng WEI ; Yongzhan NIE ; Changqing YUAN ; Bin CHENG
International Journal of Oral Science 2025;17(1):54-54
Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans
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Chemoradiotherapy/adverse effects*
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Consensus
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Risk Factors
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Stomatitis/etiology*
10.MYB polymorphism molecular marker: A novel molecular marker for authenticity and geographical origin identification of Citri Reticulatae Pericarpium.
Qiqing CHENG ; Ziyu TANG ; Yue OUYANG ; Chunsong CHENG ; Chichou LAO ; Hao CUI ; Hua ZHOU ; Yongshu LIANG
Chinese Herbal Medicines 2025;17(2):296-306
OBJECTIVE:
Citri Reticulatae Pericarpium (Chenpi, CRP) is one of the most used traditional Chinese medicines with great medicinal, dietary and collection values, among which the Citrus reticulata cv. 'Chachi' (Citrus reticulata cv. Chachiensis) from Guangdong Xinhui is the geoherb of CRP. Xinhui CRP in the market was often counterfeited with other varieties or origins, molecular identification method can effectively distinguish different CRP varieties, but it's still a difficult problem to identify the same CRP variety from different origin. It is necessary to discover a new molecular marker to ensure the safe and effective application of Xinhui CRP.
METHODS:
We selected one of the most studied transcription factor families in Citrus genus, MYB, to design the specific candidate primers on the conserved region. The primers with good band repeatability and high polymorphism were screened for PCR amplification of the test materials, and the genetic similarity coefficient among different families, genera, species, and origins were calculated. The cluster analysis was performed by unweighted pair group method using arithmetic average (UPGMA).
RESULTS:
A total of ten MYB primers were screened out to identify Xinhui CRP from plants from different family (Panax ginseng and Morus alba), genus (Clausena lansium and Zanthoxylum schinifolium), and species (Citrus reticulata, C. sinensis and C. maxima). Furthermore, two from the ten primers, M1 and M10, were found to distinguish Xinhui CRP from other origins. There were 169, 113, 133 and 134 polymorphic bands in the identification of different families, genera, species, and origins respectively, and the accordingly polymorphism ration were 79.88%, 76.87%, 79.20% and 82.84%. Moreover, M1 was discovered to be the best primer to identify Xinhui CRP from other seven origins, the cluster analysis results based on the genetic similarity coefficients were consistent with the geographical distribution.
CONCLUSION
This study established a novel molecular identification method according to MYB transcription factor, which can analyze the potential parental relationship of CRP germplasm, as well as identify the quality and origins of Xinhui CPR.

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