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Zhou Y, Zhang X, Li X, Zhu G, Gao T, Deng Y, Huang L, Liu Z. Anthropometric indicators may explain the high incidence of follicular lymphoma in Europeans: Results from a bidirectional two-sample two-step Mendelian randomisation. Gene 2024; 911:148320. [PMID: 38452876 DOI: 10.1016/j.gene.2024.148320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 02/18/2024] [Accepted: 02/26/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Non-Hodgkin's lymphoma incidence rates vary between European and Asian populations. The reasons remain unclear. This two-sample two-step Mendelian randomisation (MR) study aimed to investigate the causal relationship between anthropometric indicators (AIs) and diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) and the possible mediating role of basal metabolic rate (BMR) in Europe. METHODS We used the following AIs as exposures: body mass index (BMI), whole-body fat mass (WBFM), whole-body fat-free mass (WBFFM), waist circumference(WC), hip circumference(HC), standing height (SH), and weight(Wt). DLBCL and FL represented the outcomes, and BMR was a mediator. A two-sample MR analysis was performed to examine the association between AIs and DLBCL and FL onset. We performed reverse-MR analysis to determine whether DLBCL and FL interfered with the AIs. A two-step MR analysis was performed to determine whether BMR mediated the causality. FINDINGS WBFFM and SH had causal relationships with FL. A causal association between AIs and DLBCL was not observed. Reverse-MR analysis indicated the causal relationships were not bidirectional. Two-step MR suggested BMR may mediate the causal effect of WBFFM and SH on FL. CONCLUSIONS We observed a causal relationship between WBFFM and SH and the onset of FL in Europeans, Which may explain the high incidence of follicular lymphoma in Europeans.
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Affiliation(s)
- Yanqun Zhou
- The Second Clinical Medical School of Guizhou University of Chinese Medicine, Guiyang, China; Department of Hematology, the Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, China
| | - Xiongfeng Zhang
- The Second Clinical Medical School of Guizhou University of Chinese Medicine, Guiyang, China; Department of Hematology, the Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, China
| | - Xiaozhen Li
- The First Clinical Medical School of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Guoqing Zhu
- The Second Clinical Medical School of Guizhou University of Chinese Medicine, Guiyang, China; Department of Hematology, the Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, China
| | - Tianqi Gao
- The First Clinical Medical School of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yingying Deng
- School of Basic Medicine, Guizhou University of Traditional Chinese Medicine, Guiyang, China
| | - Liming Huang
- The Second Clinical Medical School of Guizhou University of Chinese Medicine, Guiyang, China; Department of Hematology, the Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang, China.
| | - Zenghui Liu
- Department of Hematology, the First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
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Xiao Y, Deng W, Luo L, Zhu G, Xie J, Liu Y, Wan R, Wen W, Hu Z, Shan R. Beneficial effects of maintaining liver function during hepatic arterial infusion chemotherapy combined with tyrosine kinase and programmed cell death protein-1 inhibitors on the outcomes of patients with unresectable hepatocellular carcinoma. BMC Cancer 2024; 24:588. [PMID: 38745113 PMCID: PMC11092091 DOI: 10.1186/s12885-024-12355-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 05/07/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND AND AIM Combination therapy is the primary treatment for unresectable hepatocellular carcinoma (u-HCC). The hepatic functional reserve is also critical in the treatment of HCC. In this study, u-HCC was treated with combined hepatic arterial infusion chemotherapy (HAIC), tyrosine kinase inhibitors (TKIs), and programmed cell death protein-1 (PD-1) inhibitors to analyze the therapeutic response, progression-free survival (PFS), and safety. METHODS One hundred sixty-two (162) patients with u-HCC were treated by combination therapy of HAIC, TKIs, and PD-1 inhibitors. PFS was assessed by Child-Pugh (CP) classification subgroups and the change in the CP score during treatment. RESULTS The median PFS was 11.7 and 5.1 months for patients with CP class A (CPA) and CP class B (CPB), respectively (p = 0.013), with respective objective response rates of 61.1 and 27.8% (p = 0.002) and conversion rates of 16 and 0% (p = 0.078). During treatment, the CP scores in patients with CPA worsened less in those with complete and partial response than in those with stable and progressive disease. In the CP score 5, patients with an unchanged CP score had longer PFS than those with a worsened score (Not reached vs. 7.9 months, p = 0.018). CPB was an independent factor negatively affecting treatment response and PFS. Patients with CPA responded better to the combination therapy and had fewer adverse events (AEs) than those with CPB. CONCLUSIONS Thus, triple therapy is more beneficial in patients with good liver function, and it is crucial to maintain liver function during treatment.
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Affiliation(s)
- Yongqiang Xiao
- Department of General Surgery, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17, Yongwaizheng Street, Nanchang, 330006, Jiangxi, China
- Department of General Surgery, Ganjiang New Area People's Hospital, Nanchang, Jiangxi, China
- Department of General Surgery, Ganjiang New Area Hospital of the First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Wei Deng
- Department of General Surgery, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17, Yongwaizheng Street, Nanchang, 330006, Jiangxi, China
| | - Laihui Luo
- Department of General Surgery, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17, Yongwaizheng Street, Nanchang, 330006, Jiangxi, China
| | - Guoqing Zhu
- Department of General Surgery, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17, Yongwaizheng Street, Nanchang, 330006, Jiangxi, China
| | - Jin Xie
- Department of General Surgery, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17, Yongwaizheng Street, Nanchang, 330006, Jiangxi, China
| | - Yu Liu
- Department of General Surgery, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17, Yongwaizheng Street, Nanchang, 330006, Jiangxi, China
| | - Renhua Wan
- Department of General Surgery, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17, Yongwaizheng Street, Nanchang, 330006, Jiangxi, China
| | - Wu Wen
- Department of General Surgery, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17, Yongwaizheng Street, Nanchang, 330006, Jiangxi, China
| | - Zhigao Hu
- Department of General Surgery, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17, Yongwaizheng Street, Nanchang, 330006, Jiangxi, China.
| | - Renfeng Shan
- Department of General Surgery, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17, Yongwaizheng Street, Nanchang, 330006, Jiangxi, China.
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Zhou M, Yang S, Chen R, Zhao J, Dai Y, Xu J, Zhu G. [Heat-sensitive moxibustion combined with tropisetron hydrochloride for chemotherapy-induced nausea and vomiting: a randomized controlled trial]. Zhongguo Zhen Jiu 2024; 44:531-6. [PMID: 38764103 DOI: 10.13703/j.0255-2930.20230705-0001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/21/2024]
Abstract
OBJECTIVE To compare the clinical efficacy of heat-sensitive moxibustion combined with tropisetron hydrochloride and tropisetron hydrochloride alone in the treatment of chemotherapy-induced nausea and vomiting (CINV). METHODS Sixty CINV patients were randomly divided into an observation group and a control group, 30 cases in each group.The control group was treated with tropisetron hydrochloride. On the basis of the treatment in the control group, heat-sensitive acupoints were explored at Zhongwan (CV 12), Shenque (CV 8), Qihai (CV 6), Guanyuan (CV 4), Shangwan (CV 13), Xiawan (CV 10), Jianli (CV 11) and bilateral Zusanli (ST 36), Neiguan (PC 6), Tianshu (ST 25), Liangmen (ST 21) areas in the observation group,and heat-sensitive moxibustion was applied at heat-sensitive acupoints. The treatment started from the day of chemotherapy in both groups, once a day for 7 days. The occurrence and severity of nausea and vomiting after chemotherapy were recorded after each treatment on the 1st to 7th days of chemotherapy in the two groups, the complete remission rate was evaluated. The KPS score, quality of life scale score before and after treatment and incidence of myelosuppression were compared between the two groups. RESULTS On the 2nd to 4th days of chemotherapy, the incidence and severity of nausea and vomiting in the observation group were lower than those in the control group (P<0.05), the complete remission rates of nausea and vomiting were higher than those in the control group (P<0.05). After treatment, the KPS score in the observation group was higher than those before treatment and in the control group (P<0.05). After treatment, the scores of emotional function and overall health status in the observation group were higher than those before treatment and in the control group (P<0.05), the scores of fatigue, pain, insomnia, loss of appetite and diarrhea were lower than those before treatment and in the control group (P<0.05). The incidence of myelosuppression in the observation group was 20.0% (6/30), which was lower than 46.7% (14/30) in the control group (P<0.05). CONCLUSION Heat-sensitive moxibustion combined with tropisetron hydrochloride can effectively reduce nausea and vomiting after chemotherapy in patients with malignant tumor, improve the quality of life, relieve the myelosuppression caused by chemotherapy drugs.
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Affiliation(s)
- Mei Zhou
- Department of Acupuncture-Moxibustion and Rehabilitation, Second Affiliated Hospital of Guizhou University of TCM, Guiyang 550003, China
| | - Shuo Yang
- Department of Acupuncture-Moxibustion and Rehabilitation, Second Affiliated Hospital of Guizhou University of TCM, Guiyang 550003, China
| | - Rixin Chen
- Department of Acupuncture and Moxibustion, Affiliated Hospital of Jiangxi University of CM
| | - Jing Zhao
- College of Acupuncture-Moxibustion and Tuina, Guizhou University of TCM
| | - Youming Dai
- College of Acupuncture-Moxibustion and Tuina, Guizhou University of TCM
| | - Jing Xu
- Department of Acupuncture-Moxibustion and Rehabilitation, Second Affiliated Hospital of Guizhou University of TCM, Guiyang 550003, China
| | - Guoqing Zhu
- Department of Acupuncture-Moxibustion and Rehabilitation, Second Affiliated Hospital of Guizhou University of TCM, Guiyang 550003, China
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Sun M, Mao S, Wu C, Zhao X, Guo C, Hu J, Xu S, Zheng F, Zhu G, Tao H, He S, Hu J, Zhang Y. Piezo1-Mediated Neurogenic Inflammatory Cascade Exacerbates Ventricular Remodeling After Myocardial Infarction. Circulation 2024; 149:1516-1533. [PMID: 38235590 DOI: 10.1161/circulationaha.123.065390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 12/19/2023] [Indexed: 01/19/2024]
Abstract
BACKGROUND Heart failure is associated with a high rate of mortality and morbidity, and ventricular remodeling invariably precedes heart failure. Ventricular remodeling is fundamentally driven by mechanotransduction that is regulated by both the nervous system and the immune system. However, it remains unknown which key molecular factors govern the neuro/immune/cardio axis that underlies mechanotransduction during ventricular remodeling. Here, we investigated whether the mechanosensitive Piezo cation channel-mediated neurogenic inflammatory cascade underlies ventricular remodeling-related mechanotransduction. METHODS By ligating the left coronary artery of rats to establish an in vivo model of chronic myocardial infarction (MI), lentivirus-mediated thoracic dorsal root ganglion (TDRG)-specific Piezo1 knockdown rats and adeno-associated virus-PHP.S-mediated TDRG neuron-specific Piezo1 knockout mice were used to investigate whether Piezo1 in the TDRG plays a functional role during ventricular remodeling. Subsequently, neutralizing antibody-mediated TDRG IL-6 (interleukin-6) inhibition rats and adeno-associated virus-PHP.S-mediated TDRG neuron-specific IL-6 knockdown mice were used to determine the mechanism underlying neurogenic inflammation. Primary TDRG neurons were used to evaluate Piezo1 function in vitro. RESULTS Expression of Piezo1 and IL-6 was increased, and these factors were functionally activated in TDRG neurons at 4 weeks after MI. Both knockdown of TDRG-specific Piezo1 and deletion of TDRG neuron-specific Piezo1 lessened the severity of ventricular remodeling at 4 weeks after MI and decreased the level of IL-6 in the TDRG or heart. Furthermore, inhibition of TDRG IL-6 or knockdown of TDRG neuron-specific IL-6 also ameliorated ventricular remodeling and suppressed the IL-6 cascade in the heart, whereas the Piezo1 level in the TDRG was not affected. In addition, enhanced Piezo1 function, as reflected by abundant calcium influx induced by Yoda1 (a selective agonist of Piezo1), led to increased release of IL-6 from TDRG neurons in mice 4 weeks after MI. CONCLUSIONS Our findings point to a critical role for Piezo1 in ventricular remodeling at 4 weeks after MI and reveal a neurogenic inflammatory cascade as a previously unknown facet of the neuronal immune signaling axis underlying mechanotransduction.
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Affiliation(s)
- Meiyan Sun
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
- Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
- Laboratory of Anesthesia and Critical Care Medicine in Colleges and Universities of Shandong Province, School of Anesthesiology, Weifang Medical University, China (M.S.)
| | - Sui Mao
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
- Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
| | - Chao Wu
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
- Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
| | - Xiaoyong Zhao
- Department of Anesthesiology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China (X.Z.)
| | - Chengxiao Guo
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
- Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
| | - Jun Hu
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
- Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
| | - Shijin Xu
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
- Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
| | - Fen Zheng
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, and Department of Physiology, Nanjing Medical University, China (F.Z., G.Z.)
| | - Guoqing Zhu
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, and Department of Physiology, Nanjing Medical University, China (F.Z., G.Z.)
| | - Hui Tao
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
- Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
| | - Shufang He
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
- Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
| | - Ji Hu
- Laboratory of Stress Neurobiology, School of Life Science and Technology, ShanghaiTech University, China (J.H.)
| | - Ye Zhang
- Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
- Key Laboratory of Anesthesiology and Perioperative Medicine of Anhui Higher Education Institutes, Anhui Medical University, Hefei, China (M.S., S.M., C.W., C.G., J.H., S.X., H.T., S.H., Y.Z.)
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Wang J, Qiao L, Zhu G, Sun Q, Xie Y, Wang M, Xu Y, Li C. Biodegradable pyroptosis inducer with multienzyme-mimic activity kicks up reactive oxygen species storm for sensitizing immunotherapy. J Control Release 2024; 370:438-452. [PMID: 38701885 DOI: 10.1016/j.jconrel.2024.04.054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/06/2024] [Accepted: 04/30/2024] [Indexed: 05/05/2024]
Abstract
Triggering pyroptosis is a major new weathervane for activating tumor immune response. However, biodegradable pyroptosis inducers for the safe and efficient treatment of tumors are still scarce. Herein, a novel tumor microenvironment (TME)-responsive activation nanoneedle for pyroptosis induction, copper-tannic acid (CuTA), was synthesized and combined with the sonosensitizer Chlorin e6 (Ce6) to form a pyroptosis amplifier (CuTA-Ce6) for dual activation and amplification of pyroptosis by exogenous ultrasound (US) and TME. It was demonstrated that Ce6-triggered sonodynamic therapy (SDT) further enhanced the cellular pyroptosis caused by CuTA, activating the body to develop a powerful anti-tumor immune response. Concretely, CuTA nanoneedles with quadruple mimetic enzyme activity could be activated to an "active" state in the TME, destroying the antioxidant defense system of the tumor cells through self-destructive degradation, breaking the "immunosilent" TME, and thus realizing the pyroptosis-mediated immunotherapy with fewer systemic side effects. Considering the outstanding oxygen-producing capacity of CuTA and the distinctive advantages of US, the sonosensitizer Ce6 was attached to CuTA via an amide reaction, which further amplified the pyroptosis and sensitized pyroptosis-induced immunotherapy with the two-pronged strategy of CuTA enzyme-catalyzed cascade and US-driven SDT pathway to generate a "reactive oxygen species (ROS) storm". Conclusively, this work provided a representative paradigm for achieving safe, reliable and efficient pyroptosis, which was further enhanced by SDT for more robust immunotherapy.
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Affiliation(s)
- Junrong Wang
- Institute of Frontier Chemistry, School of Chemistry and Chemical Engineering, Shandong University, Qingdao, Shandong 266237, PR China
| | - Luying Qiao
- Institute of Frontier Chemistry, School of Chemistry and Chemical Engineering, Shandong University, Qingdao, Shandong 266237, PR China
| | - Guoqing Zhu
- Institute of Frontier Chemistry, School of Chemistry and Chemical Engineering, Shandong University, Qingdao, Shandong 266237, PR China
| | - Qianqian Sun
- Institute of Frontier Chemistry, School of Chemistry and Chemical Engineering, Shandong University, Qingdao, Shandong 266237, PR China.
| | - Yulin Xie
- Institute of Frontier Chemistry, School of Chemistry and Chemical Engineering, Shandong University, Qingdao, Shandong 266237, PR China
| | - Man Wang
- Institute of Frontier Chemistry, School of Chemistry and Chemical Engineering, Shandong University, Qingdao, Shandong 266237, PR China
| | - Yaqi Xu
- Department of Hematology, The Second Hospital of Shandong University, Jinan, Shandong 250000, PR China.
| | - Chunxia Li
- Institute of Frontier Chemistry, School of Chemistry and Chemical Engineering, Shandong University, Qingdao, Shandong 266237, PR China.
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Zhang Y, He X, Wang K, Xue Y, Hu S, Jin Y, Zhu G, Shi Q, Rui Y. Irisin alleviates obesity-induced bone loss by inhibiting interleukin 6 expression via TLR4/MyD88/NF-κB axis in adipocytes. J Adv Res 2024:S2090-1232(24)00156-5. [PMID: 38626873 DOI: 10.1016/j.jare.2024.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 04/10/2024] [Accepted: 04/13/2024] [Indexed: 05/03/2024] Open
Abstract
INTRODUCTION Obesity-induced bone loss affects the life quality of patients all over the world. Irisin, one of the myokines, plays an essential role in bone and fat metabolism. OBJECTIVE Investigate the effects of irisin on bone metabolism via adipocytes in the bone marrow microenvironment. METHODS In this study, we fed fibronectin type III domain-containing protein 5 (FNDC5, the precursor protein of irisin) knockout mice (FNDC5-/-) with a high-fat diet (HFD) for 10 weeks. The quality of bone mass was assessed by micro-CT analysis, histological staining, and dynamic bone formation. In vitro, the lipogenic differentiation of bone marrow mesenchymal stem cells (BMSCs) was assayed by Oil Red O staining, and the osteogenic differentiation was assayed by alkaline phosphatase staining. Meanwhile, the gene expression in the BMSC-differentiated adipocytes by RNA sequence and the involved pathway of irisin were determined by western blot and qRT-PCR were performed. RESULTS The FNDC5-/- mice fed with a HFD showed an increased body weight, fat content of the bone marrow and bone, and a decreased bone formation compared with those with a standard diet (SD). In vitro, irisin inhibited the differentiation of BMSCs into adipocytes and alleviated the inhibition of osteogenesis derived from BMSCs by the adipocyte supernatant. RNA sequence and blocking experiment showed that irisin reduced the production of interleukin 6 (IL-6) in adipocytes through downregulating the TLR4/MyD88/NF-κB pathway. Immunofluorescence staining of bone marrow further confirmed an increased IL-6 expression in the FNDC5-/- mice fed with HFD compared with those fed with SD, which suffered serious bone loss. CONCLUSION Irisin downregulates activation of the TLR4/MyD88/NF-κB pathway, thereby reducing IL-6 production in adipocytes to enhance the osteogenesis of BMSCs. Thus, the rescue of osteogenesis of BMSCs, initially inhibited by IL-6, is a potential therapeutic target to mitigate obesity-induced osteoporosis.
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Affiliation(s)
- Yuanshu Zhang
- Department of Orthopedics, Wuxi Ninth People's Hospital Affiliated to Soochow University, Wuxi, Jiangsu 214026, PR China; Department of Orthopedics, The First Affiliated Hospital of Soochow University, Orthopedics Institute of Soochow University, Suzhou, Jiangsu 215006, PR China
| | - Xu He
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Orthopedics Institute of Soochow University, Suzhou, Jiangsu 215006, PR China
| | - Kai Wang
- Department of Orthopedics, Wuxi Ninth People's Hospital Affiliated to Soochow University, Wuxi, Jiangsu 214026, PR China; Department of Orthopedics, The First Affiliated Hospital of Soochow University, Orthopedics Institute of Soochow University, Suzhou, Jiangsu 215006, PR China
| | - Yuan Xue
- Department of Orthopedics, Wuxi Ninth People's Hospital Affiliated to Soochow University, Wuxi, Jiangsu 214026, PR China
| | - Sihan Hu
- Department of Orthopedics, Wuxi Ninth People's Hospital Affiliated to Soochow University, Wuxi, Jiangsu 214026, PR China
| | - Yesheng Jin
- Department of Orthopedics, Wuxi Ninth People's Hospital Affiliated to Soochow University, Wuxi, Jiangsu 214026, PR China; Department of Orthopedics, The First Affiliated Hospital of Soochow University, Orthopedics Institute of Soochow University, Suzhou, Jiangsu 215006, PR China
| | - Guoqing Zhu
- Department of Physiology, Nanjing Medical University, 101 Longmian Avenue, Nanjing, Jiangsu 211166, PR China
| | - Qin Shi
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Orthopedics Institute of Soochow University, Suzhou, Jiangsu 215006, PR China.
| | - Yongjun Rui
- Department of Orthopedics, Wuxi Ninth People's Hospital Affiliated to Soochow University, Wuxi, Jiangsu 214026, PR China.
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Huang Z, Pan T, Xu L, Shi L, Ma X, Zhou L, Wang L, Wang J, Zhu G, Chen D, Song L, Pan X, Wang X, Li X, Luo Y, Chen Y. FGF4 protects the liver from immune-mediated injury by activating CaMKK β-PINK1 signal pathway to inhibit hepatocellular apoptosis. Acta Pharm Sin B 2024; 14:1605-1623. [PMID: 38572102 PMCID: PMC10985030 DOI: 10.1016/j.apsb.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/11/2023] [Accepted: 12/15/2023] [Indexed: 04/05/2024] Open
Abstract
Immune-mediated liver injury (ILI) is a condition where an aberrant immune response due to various triggers causes the destruction of hepatocytes. Fibroblast growth factor 4 (FGF4) was recently identified as a hepatoprotective cytokine; however, its role in ILI remains unclear. In patients with autoimmune hepatitis (type of ILI) and mouse models of concanavalin A (ConA)- or S-100-induced ILI, we observed a biphasic pattern in hepatic FGF4 expression, characterized by an initial increase followed by a return to basal levels. Hepatic FGF4 deficiency activated the mitochondria-associated intrinsic apoptotic pathway, aggravating hepatocellular apoptosis. This led to intrahepatic immune hyper-reactivity, inflammation accentuation, and subsequent liver injury in both ILI models. Conversely, administration of recombinant FGF4 reduced hepatocellular apoptosis and rectified immune imbalance, thereby mitigating liver damage. The beneficial effects of FGF4 were mediated by hepatocellular FGF receptor 4, which activated the Ca2+/calmodulin-dependent protein kinasekinase 2 (CaMKKβ) and its downstream phosphatase and tensin homologue-induced putative kinase 1 (PINK1)-dependent B-cell lymphoma 2-like protein 1-isoform L (Bcl-XL) signalling axis in the mitochondria. Hence, FGF4 serves as an early response factor and plays a protective role against ILI, suggesting a therapeutic potential of FGF4 and its analogue for treating clinical immune disorder-related liver injuries.
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Affiliation(s)
- Zhifeng Huang
- Hepatology Diagnosis and Treatment Center, Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Diseases, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health) & School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Tongtong Pan
- Hepatology Diagnosis and Treatment Center, Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Diseases, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
| | - Liang Xu
- School of Laboratory Medicine and Life Sciences, Wenzhou Medical University & Key Laboratory of Laboratory Medicine, Ministry of Education, Wenzhou Medical University, Wenzhou 325035, China
| | - Lu Shi
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health) & School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Xiong Ma
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200001, China
| | - Liya Zhou
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health) & School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Luyao Wang
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health) & School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Jiaojiao Wang
- Hepatology Diagnosis and Treatment Center, Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Diseases, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health) & School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Guoqing Zhu
- Hepatology Diagnosis and Treatment Center, Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Diseases, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
| | - Dazhi Chen
- Hangzhou Medical College, Hangzhou 311300, China
| | - Lingtao Song
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health) & School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Xiaomin Pan
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health) & School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Xiaodong Wang
- Hepatology Diagnosis and Treatment Center, Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Diseases, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
| | - Xiaokun Li
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health) & School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Yongde Luo
- Hepatology Diagnosis and Treatment Center, Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Diseases, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health) & School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Yongping Chen
- Hepatology Diagnosis and Treatment Center, Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Diseases, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
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He Y, Qian J, Zhu G, Wu Z, Cui L, Tu S, Luo L, Shan R, Liu L, Shen W, Li Y, He K. Development and validation of nomograms to evaluate the survival outcome of HCC patients undergoing selective postoperative adjuvant TACE. Radiol Med 2024; 129:653-664. [PMID: 38512609 DOI: 10.1007/s11547-024-01792-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 01/15/2024] [Indexed: 03/23/2024]
Abstract
PURPOSE The objective of this study was to develop and validate a novel prognostic nomogram to evaluate the survival benefit of hepatocellular carcinoma (HCC) patients receiving postoperative adjuvant transarterial chemoembolization (PA-TACE). MATERIALS AND METHODS Clinical data of HCC patients who underwent hepatectomy at four medical centers were retrospectively analyzed, including those who received PA-TACE and those who did not. These two categories of patients were randomly allocated to the development and validation cohorts in a 7:3 ratio. RESULTS A total of 1505 HCC patients who underwent hepatectomy were included in this study, comprising 723 patients who did not receive PA-TACE and 782 patients who received PA-TACE. Among them, patients who received PA-TACE experienced more adverse events, although these events were mild and manageable (Grade 1-2, all p < 0.05). Nomograms were constructed and validated for patients with and without PA-TACE using independent predictors that influenced disease-free survival (DFS) and overall survival (OS). These two nomograms had C-indices greater than 0.800 in the development cohort and exhibited good calibration and discrimination ability compared to six conventional HCC staging systems. Patients in the intermediate-to-high-risk group in the nomogram who received PA-TACE had higher DFS and OS (all p < 0.05). In addition, tumor recurrence was significantly controlled in the intermediate-to-high-risk group of patients who received PA-TACE, while there was no significant difference in the low-risk group of patients who received PA-TACE. CONCLUSION The nomograms were developed and validated based on large-scale clinical data and can serve as online decision-making tools to predict survival benefits from PA-TACE in different subgroups of patients.
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Affiliation(s)
- Yongzhu He
- Division of Hepatobiliary and Pancreas Surgery, Department of General Surgery, The First Affiliated Hospital of Nanchang University (The First Clinical Medical College of Nanchang University),, No. 17 Yongwaizheng Street, Donghu District, Nanchang City, 330006, Jiangxi Province, China
| | - Junlin Qian
- Department of Hepatobiliary Surgery, Zhongshan People's Hospital (Zhongshan Hospital Affiliated to Sun Yat-Sen University), No. 2, Sunwen East Road, Shiqi District, Zhongshan City, 528400, Guangdong Province, China
| | - Guoqing Zhu
- Department of General Surgery, The First Hospital of Nanchang (The Third Clinical Medical College of Nanchang University), Nanchang City, 330008, Jiangxi Province, China
| | - Zhao Wu
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University (The Second Clinical Medical College of Nanchang University), Nanchang City, 330006, Jiangxi Province, China
| | - Lifeng Cui
- Division of Hepatobiliary and Pancreas Surgery, Department of General Surgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen City, 518020, Guangdong Province, China
- Maoming People's Hospital, Maoming, China
| | - Shuju Tu
- Division of Hepatobiliary and Pancreas Surgery, Department of General Surgery, The First Affiliated Hospital of Nanchang University (The First Clinical Medical College of Nanchang University),, No. 17 Yongwaizheng Street, Donghu District, Nanchang City, 330006, Jiangxi Province, China
| | - Laihui Luo
- Division of Hepatobiliary and Pancreas Surgery, Department of General Surgery, The First Affiliated Hospital of Nanchang University (The First Clinical Medical College of Nanchang University),, No. 17 Yongwaizheng Street, Donghu District, Nanchang City, 330006, Jiangxi Province, China
| | - Renfeng Shan
- Division of Hepatobiliary and Pancreas Surgery, Department of General Surgery, The First Affiliated Hospital of Nanchang University (The First Clinical Medical College of Nanchang University),, No. 17 Yongwaizheng Street, Donghu District, Nanchang City, 330006, Jiangxi Province, China
| | - Liping Liu
- Division of Hepatobiliary and Pancreas Surgery, Department of General Surgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen City, 518020, Guangdong Province, China
| | - Wei Shen
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University (The Second Clinical Medical College of Nanchang University), Nanchang City, 330006, Jiangxi Province, China
| | - Yong Li
- Division of Hepatobiliary and Pancreas Surgery, Department of General Surgery, The First Affiliated Hospital of Nanchang University (The First Clinical Medical College of Nanchang University),, No. 17 Yongwaizheng Street, Donghu District, Nanchang City, 330006, Jiangxi Province, China.
| | - Kun He
- Department of Hepatobiliary Surgery, Zhongshan People's Hospital (Zhongshan Hospital Affiliated to Sun Yat-Sen University), No. 2, Sunwen East Road, Shiqi District, Zhongshan City, 528400, Guangdong Province, China.
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Jiao H, Wang Y, Fu K, Xiao X, Jia MQ, Sun J, Wang J, Zhu G, Lyu D, Lu Q, Peng Y, Lv J, Su L, Gao Y. An orexin-receptor-2-mediated heart-brain axis in cardiac pain. iScience 2024; 27:109067. [PMID: 38361621 PMCID: PMC10867640 DOI: 10.1016/j.isci.2024.109067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 08/24/2023] [Accepted: 01/25/2024] [Indexed: 02/17/2024] Open
Abstract
Orexin is a neuropeptide released from hypothalamus regulating feeding, sleeping, arousal, and cardiovascular activity. Past research has demonstrated that orexin receptor 2 (OX2R) agonist infusion in the brain results in sympathoexcitatory responses. Here, we found that epicardial administration of OX2R agonism leads to opposite responses. We proved that OX2R is expressed mainly in DRG neurons and transported to sensory nerve endings innervating the heart. In a capsaicin-induced cardiac sympathetic afferent reflex (CSAR) model, we recorded the calcium influx in DRG neurons, measured heart rate variability, and examined the PVN c-Fos activity to prove that epicardial OX2R agonism administration could attenuate capsaicin-induced CSAR. We further showed that OX2R agonism could partially rescue acute myocardial infarction by reducing sympathetic overactivation. Our data indicate that epicardial application of OX2R agonist exerts a cardioprotective effect by attenuating CSAR. This OX2R-mediated heart-brain axis may provide therapeutic targets for acute cardiovascular diseases.
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Affiliation(s)
- Han Jiao
- Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, P.R. China
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, 1105AZ Amsterdam, the Netherlands
| | - Yongjin Wang
- Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, P.R. China
| | - Kang Fu
- Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, P.R. China
| | - Xiaoao Xiao
- Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, P.R. China
| | - Mo-Qiu Jia
- Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, P.R. China
| | - Jia Sun
- Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, P.R. China
| | - Jingxiao Wang
- Department of Physiology, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, P.R. China
| | - Guoqing Zhu
- Department of Physiology, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, P.R. China
| | - Daying Lyu
- Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, P.R. China
| | - Qiulun Lu
- Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, P.R. China
| | - Yu Peng
- Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, P.R. China
| | - Juan Lv
- Institute of Translational Medicine, Shanghai University, Shanghai 200444, China
| | - Li Su
- Institute of Translational Medicine, Shanghai University, Shanghai 200444, China
| | - Yuanqing Gao
- Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, P.R. China
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Fan H, Wang B, Shi L, Pan N, Yan W, Xu J, Gong L, Li L, Liu Y, Du C, Cui J, Zhu G, Deng S, Sui W, Xu Y, Yi S, Hao M, Zou D, Chen X, Qiu L, An G. Monitoring Minimal Residual Disease in Patients with Multiple Myeloma by Targeted Tracking Serum M-Protein Using Mass Spectrometry (EasyM). Clin Cancer Res 2024; 30:1131-1142. [PMID: 38170583 PMCID: PMC10940853 DOI: 10.1158/1078-0432.ccr-23-2767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 11/10/2023] [Accepted: 12/29/2023] [Indexed: 01/05/2024]
Abstract
PURPOSE We investigated both the clinical utilities and the prognostic impacts of the clonotypic peptide mass spectrometry (MS)-EasyM, a blood-based minimal residual disease (MRD) monitoring protocol in multiple myeloma. EXPERIMENTAL DESIGN A total of 447 sequential serum samples from 56 patients with multiple myeloma were analyzed using EasyM. Patient-specific M-protein peptides were sequenced from diagnostic samples; sequential samples were quantified by EasyM to monitor the M-protein. The performance of EasyM was compared with serum immunofixation electrophoresis (IFE), bone marrow multiparameter flow cytometry (MFC), and next-generation flow cytometry (NGF) detection. The optimal balance of EasyM sensitivity/specificity versus NGF (10-5 sensitivity) was determined and the prognostic impact of MS-MRD status was investigated. RESULTS Of the 447 serum samples detected and measured by EasyM, 397, 126, and 92 had time-matching results for comparison with serum IFE, MFC-MRD, and NGF-MRD, respectively. Using a dotp >0.9 as the MS-MRD positive, sensitivity was 99.6% versus IFE and 100.0% versus MFC and NGF. Using an MS negative cutoff informed by ROC analysis (<1.86% of that at diagnosis), EasyM sensitivity remained high versus IFE (88.3%), MFC (85.1%), and NGF (93.2%), whereas specificity increased to 90.4%, 55.8%, and 93.2%, respectively. In the multivariate analysis, older diagnostic age was an independent predictor for progression-free survival [PFS; high risk (HR), 3.15; 1.26-7.86], the best MS-MRD status (MS-MRD negative) was independent predictor for both PFS (HR, 0.25; 0.12-0.52) and overall survival (HR, 0.16; 0.06-0.40). CONCLUSIONS EasyM is a highly sensitive and minimal invasive method of MRD monitoring in multiple myeloma; MS-MRD had significant predictive ability for survival outcomes.
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Affiliation(s)
- Huishou Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Department of Hematology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Bing Wang
- Shanghai Kuaixu Biotechnology Co., Ltd., Shanghai, China
| | - Lihui Shi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Ni Pan
- Shanghai Kuaixu Biotechnology Co., Ltd., Shanghai, China
| | - Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Jingyu Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Lixin Gong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Lingna Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yuntong Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Chenxing Du
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Jian Cui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Shuhui Deng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Shuhua Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xiequn Chen
- Department of Hematology, Affiliated Hospital of Northwest University, Institute of Hematology, Northwest University, Xian, Shaanxi, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
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Lin J, Li J, Kong Y, Yang J, Zhang Y, Zhu G, Yu Z, Xia J. Construction of a prognostic model for hepatocellular carcinoma patients receiving transarterial chemoembolization treatment based on the Tumor Burden Score. BMC Cancer 2024; 24:306. [PMID: 38448905 PMCID: PMC10916036 DOI: 10.1186/s12885-024-12049-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 02/23/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND Patients with hepatocellular carcinoma (HCC) who undergo transarterial chemoembolization (TACE) may have varied outcomes based on their liver function and tumor burden diversity. This study aims to assess the prognostic significance of the tumor burden score (TBS) in these patients and develop a prognostic model for their overall survival. METHODS The study involved a retrospective analysis of 644 newly diagnosed HCC patients undergoing TACE treatment. The individuals were assigned randomly to a training cohort (n = 452) and a validation cohort (n = 192). We utilized a multivariate Cox proportional risk model to identify independent preoperative predictive factors. We then evaluated model performance using the area under the curve (AUC), consistency index (c-index), calibration curve, and decision curve analysis (DCA) methods. RESULTS The multivariate analysis revealed four prognostic factors associated with overall survival: Tumor Burden Score, Tumor Extent, Types of portal vein invasion (PVI), and Child-Pugh score. The total score was calculated based on these factors. The model demonstrated strong discriminative ability with high AUC values and c-index, providing high net clinical benefits for patients. Based on the model's scoring results, patients were categorized into high, medium, and low-risk groups. These results were validated in the validation cohort. CONCLUSIONS The tumor burden score shows promise as a viable alternative prognostic indicator for assessing tumor burden in cases of HCC. The new prognostic model can place patients in one of three groups, which will estimate their individual outcomes. For high-risk patients, it is suggested to consider alternative treatment options or provide the best supportive care, as they may not benefit significantly from TACE treatment.
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Affiliation(s)
- Jiawei Lin
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jie Li
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Liver Cancer Institute, Zhongshan Hospital of Fudan University, Shanghai, China
| | - Yifan Kong
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Junhui Yang
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yunjie Zhang
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Guoqing Zhu
- Department of Interventional Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zhijie Yu
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jinglin Xia
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
- Liver Cancer Institute, Zhongshan Hospital of Fudan University, Shanghai, China.
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Ren Y, Liang H, Huang Y, Miao Y, Li R, Qiang J, Wu L, Qi J, Li Y, Xia Y, Huang L, Wang S, Kong X, Zhou Y, Zhang Q, Zhu G. Key candidate genes and pathways in T lymphoblastic leukemia/lymphoma identified by bioinformatics and serological analyses. Front Immunol 2024; 15:1341255. [PMID: 38464517 PMCID: PMC10920334 DOI: 10.3389/fimmu.2024.1341255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 02/08/2024] [Indexed: 03/12/2024] Open
Abstract
T-cell acute lymphoblastic leukemia (T-ALL)/T-cell lymphoblastic lymphoma (T-LBL) is an uncommon but highly aggressive hematological malignancy. It has high recurrence and mortality rates and is challenging to treat. This study conducted bioinformatics analyses, compared genetic expression profiles of healthy controls with patients having T-ALL/T-LBL, and verified the results through serological indicators. Data were acquired from the GSE48558 dataset from Gene Expression Omnibus (GEO). T-ALL patients and normal T cells-related differentially expressed genes (DEGs) were investigated using the online analysis tool GEO2R in GEO, identifying 78 upregulated and 130 downregulated genes. Gene Ontology (GO) and protein-protein interaction (PPI) network analyses of the top 10 DEGs showed enrichment in pathways linked to abnormal mitotic cell cycles, chromosomal instability, dysfunction of inflammatory mediators, and functional defects in T-cells, natural killer (NK) cells, and immune checkpoints. The DEGs were then validated by examining blood indices in samples obtained from patients, comparing the T-ALL/T-LBL group with the control group. Significant differences were observed in the levels of various blood components between T-ALL and T-LBL patients. These components include neutrophils, lymphocyte percentage, hemoglobin (HGB), total protein, globulin, erythropoietin (EPO) levels, thrombin time (TT), D-dimer (DD), and C-reactive protein (CRP). Additionally, there were significant differences in peripheral blood leukocyte count, absolute lymphocyte count, creatinine, cholesterol, low-density lipoprotein, folate, and thrombin times. The genes and pathways associated with T-LBL/T-ALL were identified, and peripheral blood HGB, EPO, TT, DD, and CRP were key molecular markers. This will assist the diagnosis of T-ALL/T-LBL, with applications for differential diagnosis, treatment, and prognosis.
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Affiliation(s)
- Yansong Ren
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Haoyue Liang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yali Huang
- Clinical Laboratory of Zhengning County People's Hospital, Qingyang, Gansu, China
| | - Yuyang Miao
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Geriatrics Institute, Tianjin, China
| | - Ruihua Li
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Geriatrics Institute, Tianjin, China
| | - Junlian Qiang
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Geriatrics Institute, Tianjin, China
| | - Lihong Wu
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Geriatrics Institute, Tianjin, China
| | - Jinfeng Qi
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Geriatrics Institute, Tianjin, China
| | - Ying Li
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Geriatrics Institute, Tianjin, China
| | - Yonghui Xia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Lunhui Huang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Shoulei Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xiaodong Kong
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Geriatrics Institute, Tianjin, China
| | - Yuan Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Qiang Zhang
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Geriatrics Institute, Tianjin, China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
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13
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Ou J, Wang E, Wang X, Wang B, Zhu G. Acoustic emission characteristics and damage evolution of different rocks under uniaxial compression conditions. Sci Rep 2024; 14:4179. [PMID: 38378900 PMCID: PMC10879202 DOI: 10.1038/s41598-024-54950-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 02/19/2024] [Indexed: 02/22/2024] Open
Abstract
Due to the complexity of the strata, it is difficult to monitor and identify the disasters induced by rock fractures in the process of mining deep coal resources. This will seriously affect the safety and sustainable mining of coal. Therefore, it is necessary to understand the failure mechanisms and acoustic emission (AE) characteristics of different rocks. In this paper, uniaxial compression tests as well as simultaneous AE monitoring were carried out on four different rocks. The four rocks include yellow sandstone, white sandstone, marble and limestone. The mechanical properties, energy evolution and AE characteristics of different rocks were analysed. It is found that the AE response of rocks is closely related to the damage and fracture process. The more brittle the rock is, the less energy is dissipated before failure, and the less obvious the AE precursor is, and the RA-AF values can effectively characterise the failure modes of different rocks. Finally, the damage models were developed from the perspectives of AE energy and dissipated energy, respectively. The damage model based on dissipated energy can better reflect the stress and damage state of the rock, and the theoretical curves of stress-strain are in good agreement with the measured curves.
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Affiliation(s)
- Jianchun Ou
- State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China
| | - Enyuan Wang
- School of Safety Engineering, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China.
| | - Xinyu Wang
- School of Safety Engineering, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China
| | - Bican Wang
- State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China
| | - Guoqing Zhu
- School of Safety Engineering, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China
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14
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Xu Y, Geng Z, Sun Y, Zhu G, Xiao L, Wang Z, Li B, Liu X, Shi J, Song X, Hu J, Qi Q. Complanatuside A improves functional recovery after spinal cord injury through inhibiting JNK signaling-mediated microglial activation. Eur J Pharmacol 2024; 965:176287. [PMID: 38158110 DOI: 10.1016/j.ejphar.2023.176287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 12/13/2023] [Accepted: 12/14/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND AND AIMS Complanatuside A (ComA) is a flavonoid-rich compound in Astragalus membranaceus that has anti-inflammatory and neuroprotective effects. In this study, we focused on the effect of ComA on spinal cord injury (SCI) in mice and explored its possible mechanisms. METHODS The SCI model was constructed using C57BL/6J mice, and the effect of ComA on motor function recovery in SCI mice was evaluated through the BMS (Basso Mouse Scale) and footprint test. The histological effects of ComA on SCI mice were evaluated by hematoxylin-eosin (H&E) staining, Luxol-fast blue (LFB) staining, and Nissl staining. In both in vivo and in vitro experiments, we detected the activation of microglia and the release of inflammatory factors through molecular experiments. Immunofluorescence and Western blotting confirmed that ComA can prevent neuronal apoptosis caused by activated microglia through the c-Jun N-terminal kinase (JNK) pathway. RESULTS Our research results confirm that ComA can improve motor function in mice after SCI. Our in vitro results indicate that ComA can inhibit the activation of BV2 cells and the release of proinflammatory mediators. In addition, ComA can prevent neuronal cell apoptosis caused by activated BV2 cells. Finally, we found that ComA works through the JNK signaling pathway. CONCLUSIONS ComA can accelerate the restoration of motor function in mice after SCI, possibly by reducing neuronal apoptosis via inhibition of JNK-related signaling pathways, a reduction in microglial activation, and inhibition of inflammatory factor release. Our data indicate that ComA is a promising drug candidate for improving functional recovery in patients with SCI.
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Affiliation(s)
- Yibo Xu
- School of Basic Medicine, Bengbu Medical University, Bengbu, Anhui, China; Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, Bengbu, China
| | - Zhijun Geng
- Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, Bengbu, China; Department of Central Laboratory, First Affiliated Hospital of Bengbu Medical University, Bengbu, China
| | - Yang Sun
- Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, Bengbu, China
| | - Guoqing Zhu
- Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, Bengbu, China
| | - Linyu Xiao
- Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, Bengbu, China
| | - Zhiyuan Wang
- Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, Bengbu, China
| | - Bohan Li
- Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, Bengbu, China
| | - Xinyue Liu
- Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, Bengbu, China
| | - Jinran Shi
- Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, Bengbu, China
| | - Xue Song
- Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, Bengbu, China; Department of Central Laboratory, First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
| | - Jianguo Hu
- Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, Bengbu, China; Department of Clinical Laboratory, First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
| | - Qi Qi
- School of Basic Medicine, Bengbu Medical University, Bengbu, Anhui, China; Key Laboratory of Tissue Transplantation, Bengbu Medical University, Bengbu, China.
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Hou Y, Shi P, Du H, Zhu C, Tang C, Que L, Zhu G, Liu L, Chen Q, Li C, Shao G, Li Y, Li J. HNF4α ubiquitination mediated by Peli1 impairs FAO and accelerates pressure overload-induced myocardial hypertrophy. Cell Death Dis 2024; 15:135. [PMID: 38346961 PMCID: PMC10861518 DOI: 10.1038/s41419-024-06470-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 02/15/2024]
Abstract
Impaired fatty acid oxidation (FAO) is a prominent feature of metabolic remodeling observed in pathological myocardial hypertrophy. Hepatocyte nuclear factor 4alpha (HNF4α) is closely associated with FAO in both cellular processes and disease conditions. Pellino 1 (Peli1), an E3 ligase containing a RING-like domain, plays a crucial role in catalyzing polyubiquitination of various substrates. In this study, we aimed to investigate the involvement of HNF4α and its ubiquitination, facilitated by Peli1, in FAO during pressure overload-induced cardiac hypertrophy. Peli1 systemic knockout mice (Peli1KO) display improved myocardial hypertrophy and cardiac function following transverse aortic constriction (TAC). RNA-seq analysis revealed that changes in gene expression related to lipid metabolism caused by TAC were reversed in Peli1KO mice. Importantly, both HNF4α and its downstream genes involved in FAO showed a significant increase in Peli1KO mice. We further used the antagonist BI6015 to inhibit HNF4α and delivered rAAV9-HNF4α to elevate myocardial HNF4α level, and confirmed that HNF4α inhibits the development of cardiac hypertrophy after TAC and is essential for the enhancement of FAO mediated by Peli1 knockout. In vitro experiments using BODIPY incorporation and FAO stress assay demonstrated that HNF4α enhances FAO in cardiomyocytes stimulated with angiotension II (Ang II), while Peli1 suppresses the effect of HNF4α. Mechanistically, immunoprecipitation and mass spectrometry analyses confirmed that Peli1 binds to HNF4α via its RING-like domain and promotes HNF4α ubiquitination at residues K307 and K309. These findings shed light on the underlying mechanisms contributing to impaired FAO and offer valuable insights into a promising therapeutic strategy for addressing pathological cardiac hypertrophy.
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Affiliation(s)
- Yuxing Hou
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, 211166, China
| | - Pengxi Shi
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, 211166, China
| | - Haiyang Du
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, 211166, China
| | - Chenghao Zhu
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, 211166, China
| | - Chao Tang
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, 211166, China
- Department of Pathology and Pathophysiology, School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Linli Que
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, 211166, China
| | - Guoqing Zhu
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Department of Physiology, Nanjing Medical University, Nanjing, 211166, China
| | - Li Liu
- Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Qi Chen
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, 211166, China
| | - Chuanfu Li
- Department of Surgery, East Tennessee State University, Campus Box 70575, Johnson City, TN, 37614-0575, USA
| | - Guoqiang Shao
- Department of nuclear medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210029, China.
| | - Yuehua Li
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, 211166, China.
| | - Jiantao Li
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, 211166, China.
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16
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Chai L, Cao Y, Zhao L, Liu K, Chong Z, Lu Y, Zhu G, Cao J, Lu G. [Quantitative analysis of risk assessment indicators for re-introduction of imported malaria in China]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2024; 35:604-613. [PMID: 38413021 DOI: 10.16250/j.32.1374.2023177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
OBJECTIVE To quantitatively analyze the risk indicators of re-introduction of imported malaria in China and their weighting coefficients, so as to investigate the difference in the contribution of risk indicators included in the current risk assessment framework for re-introduction of imported malaria in China to the risk assessment of re-introduction of imported malaria. METHODS Publications pertaining to the risk assessment framework for re-introduction of imported malaria in China that reported the risk indicators and their weighting coefficients were retrieved in PubMed, Web of Science, CNKI, Wanfang Data, and VIP with terms of "malaria", "re-introduction/re-transmission/re-establishment", "risk assessment/risk evaluation/risk prediction" from the inception of the database through 3 August 2023, and literature search was performed in Google Scholar to ensure the comprehensiveness of the retrieval. Basic characteristics of included studies were extracted using pre-designed information extraction forms by two investigators, and data pertaining to risk indicators of re-introduction of imported malaria were cross-checked by these two investigators. The risk indicators included in the risk assessment framework for re-introduction of imported malaria in China and their weighting coefficients were visualized with the Nightingale's rose diagrams using the software R 4.2.1, and the importance of risk indictors was evaluated with the frequency of risk indicators included in the risk assessment framework and the ranking of weighting coefficients of risk indicators. In addition, the capability of risk indicators screened by different weighting methods was compared by calculating the ratio of the maximum to the minimum of the weighting coefficients of the risk indicators screened by different weighting methods. RESULTS A total of 2 138 publications were retrieved, and following removal of duplications and screening, a total of 8 publications were included in the final analysis. In these 8 studies, 8 risk assessment frameworks for re-introduction of imported malaria in China and 52 risk indicators of re-introduction of imported malaria were reported, in which number of imported malaria cases (n = 8) and species of malaria vectors were more frequently included in the risk assessment frameworks (n = 8), followed by species of imported malaria parasites (n = 6) and population density of local malaria vectors (n = 6), and species of local malaria vectors (n = 6), number of imported malaria cases (n = 5) and species of imported malaria parasites had the three highest weighting coefficients (n = 4). The weighting methods included expert scoring method, combination of expert scoring method and analytic hierarchy process, and combination of expert scoring method and entropy weight method in these 8 studies, and the ratios of the maximum to the minimum of the weighting coefficients of the risk indicators screened by the expert scoring method were 1.143 to 2.241, while the ratios of the maximum to the minimum of the weighting coefficients of the risk indicators screened by combination of the expert scoring method and analytic hierarchy process were 34.970 to 162.000. CONCLUSIONS Number of imported malaria cases, species of imported malaria parasites, species of local malaria vectors and population density of local malaria vectors are core indicators in the current risk assessment framework for re-introduction of imported malaria in China. Combination of the expert scoring method and analytic hierarchy process is superior to the expert scoring method alone for weighting the risk indicators.
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Affiliation(s)
- L Chai
- School of Public Health, Medical College of Yangzhou University, Yangzhou, Jiangsu 225007, China
| | - Y Cao
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - L Zhao
- School of Public Health, Medical College of Yangzhou University, Yangzhou, Jiangsu 225007, China
| | - K Liu
- School of Public Health, Medical College of Yangzhou University, Yangzhou, Jiangsu 225007, China
| | - Z Chong
- School of Public Health, Medical College of Yangzhou University, Yangzhou, Jiangsu 225007, China
| | - Y Lu
- Health and Quarantine Office, Nanjing Customs, China
| | - G Zhu
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - J Cao
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - G Lu
- School of Public Health, Medical College of Yangzhou University, Yangzhou, Jiangsu 225007, China
- Jiangsu Key Laboratory of Zoonoses, Yangzhou University, Yangzhou, Jiangsu 225007, China
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17
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Zhu G, Zheng P, Wang M, Xie Y, Sun Q, Gao M, Li C. Near-Infrared Light-Triggered Thermoresponsive Pyroptosis System for Synergistic Tumor Immunotherapy. Adv Healthc Mater 2024; 13:e2302095. [PMID: 37975590 DOI: 10.1002/adhm.202302095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 10/27/2023] [Indexed: 11/19/2023]
Abstract
Pyroptosis, as an inflammatory cell death, has been widely applied in tumor therapy, but its systemic adverse reactions caused by nonspecific activation still seriously hinder its application. Herein, a near-infrared (NIR) light-triggered thermoresponsive pyroptosis strategy is designed for on-demand initiation of pyroptosis and synergistic tumor immunotherapy. Specifically, glucose oxidase (GOx) loaded and heat-sensitive material p(OEOMA-co-MEMA) (PCM) modified mesoporous Pt nanoparticles (abbreviated as PCM Pt/GOx) are prepared as the mild-temperature triggered pyroptosis inducer. Pt nanoparticles can not only serve as nanozyme with catalase-like activity to promote GOx catalytic reaction, but also act as photothermal agent to achieve mild-temperature photothermal therapy (PTT) and thermoresponsive GOx release on-demand under the irradiation of NIR light, thereby activating and promoting pyroptosis. In vitro and in vivo experiments prove that NIR light-triggered thermoresponsive pyroptosis system exhibits excellent antitumor immunity activity as well as significantly inhibits tumor growth. The precise control of pyroptosis by NIR light as well as pyroptosis cooperated with mild-temperature PTT for synergistically attenuated tumor immunotherapy are reported for the first time. This work provides a new method to initiate pyroptosis on demand, which is of great significance for spatiotemporally controllable pyroptosis and immunotherapy.
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Affiliation(s)
- Guoqing Zhu
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, 266237, P. R. China
| | - Pan Zheng
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, 266237, P. R. China
| | - Man Wang
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, 266237, P. R. China
| | - Yulin Xie
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, 266237, P. R. China
| | - Qianqian Sun
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, 266237, P. R. China
| | - Minghong Gao
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, 266237, P. R. China
| | - Chunxia Li
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, 266237, P. R. China
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18
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Qiao L, Zhu G, Jiang T, Qian Y, Sun Q, Zhao G, Gao H, Li C. Self-Destructive Copper Carriers Induce Pyroptosis and Cuproptosis for Efficient Tumor Immunotherapy Against Dormant and Recurrent Tumors. Adv Mater 2024; 36:e2308241. [PMID: 37820717 DOI: 10.1002/adma.202308241] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/05/2023] [Indexed: 10/13/2023]
Abstract
Activating the strong immune system is a key initiative to counteract dormant tumors and prevent recurrence. Herein, self-destructive and multienzymatically active copper-quinone-GOx nanoparticles (abbreviated as CQG NPs) have been designed to induce harmonious and balanced pyroptosis and cuproptosis using the "Tai Chi mindset" to awaken the immune response for suppressing dormant and recurrent tumors. This cleverly designed material can disrupt the antioxidant defense mechanism of tumor cells by inhibiting the nuclear factor-erythroid 2-related factor 2 (NRF2)-quinone oxidoreductase 1 (NQO1) signaling pathway. Furthermore, combined with its excellent multienzyme activity, it activates NOD-like receptor protein 3 (NLRP3)-mediated pyroptosis. Meanwhile, cuproptosis can be triggered by copper ions released from the self-destructive disintegration of CQG NPs and the sensitivity of cancer cells to cuproptosis is enhanced through the depletion of endogenous copper chelators via the Michael addition reaction between glutathione (GSH) and quinone ligand, oxygen production from catalase-like reaction, and starvation-induced glucose deficiency. More importantly, CQG NPs-induced pyroptosis and cuproptosis can promote immunosuppressive tumor microenvironment (TME) remodeling, enhance the infiltration of immune cells into the tumor, and activate robust systemic immunity. Collectively, this study provides a new strategy to resist tumor dormancy, prevent tumor recurrence, and improve the clinical prognosis of tumors.
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Affiliation(s)
- Luying Qiao
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, 266237, P. R. China
| | - Guoqing Zhu
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, 266237, P. R. China
| | - Tengfei Jiang
- Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, Shandong, 266035, P. R. China
| | - Yanrong Qian
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, 266237, P. R. China
| | - Qianqian Sun
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, 266237, P. R. China
| | - Guanghui Zhao
- Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, Shandong, 266035, P. R. China
| | - Haidong Gao
- Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, Shandong, 266035, P. R. China
| | - Chunxia Li
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, 266237, P. R. China
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Huang L, Liu L, Song Z, Li Q, He D, Guo G, Zhu G, Jiang E, Xia Y. Hematopoietic progenitor cell count as a potential quantitative marker in apheresis products during allogeneic stem cell transplantation. Transfusion 2024; 64:348-356. [PMID: 38158888 DOI: 10.1111/trf.17699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 11/07/2023] [Accepted: 12/02/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND The quality and quantity of hematopoietic stem cells in apheresis products are essential to the success of peripheral blood hematopoietic stem cell transplantation (PB-HSCT). While the flow cytometry measurement of CD34+ cells as a golden standard for stem cell count is labor and cost-intensive, hematopoietic progenitor cell number evaluated by XN Sysmex series automated hematology analyzers (XN-HPC) is suggested as a surrogate marker. MATERIALS AND METHODS We evaluated the correlation and consistency of XN-HPC and CD34+ cell count in apheresis samples from both allogeneic donors and autologous patients during PB-HSCT. RESULTS Good correlation and consistency were observed between XN-HPC and CD34+ cell counts in harvests collected from healthy donors (R = .852) rather than autologous patients (R = .375). Subgroup analysis showed that the correlation was especially poor when autologous patients used plerixafor as an additional mobilizer or were diagnosed with multiple myeloma (MM). In the setting of allogeneic transplantation, the correlation coefficients were even better in samples from non-first-round apheresis (R = .951), with high white blood cell (WBC) counts (R = .941), or having successful engraftment within 2 weeks (R = .895). ROC analysis suggested that an optimal XN-HPC count of 1127 × 106 /L best predicted a sufficient yield of CD34+ stem cells, with diagnostic sensitivity and specificity being 92% and 72%, respectively (AUC = 0.852). CONCLUSIONS XN-HPC is a sufficient quantitative marker for stem cell assessment of harvest yield in allogeneic but not autologous HSCT.
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Affiliation(s)
- Lunhui Huang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Liangyi Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Zhen Song
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Qiang Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - DaShui He
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - GuiQing Guo
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Erlie Jiang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yonghui Xia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
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Zhang L, Wang Z, Ji S, Zhu G, Dong Y, Li J, Jing Y, Jin S. Ferric reduction oxidase in Lilium pumilum affects plant saline-alkaline tolerance by regulating ROS homeostasis. Plant Physiol Biochem 2024; 207:108305. [PMID: 38241829 DOI: 10.1016/j.plaphy.2023.108305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 12/05/2023] [Accepted: 12/22/2023] [Indexed: 01/21/2024]
Abstract
Ferric reduction oxidase (FRO) plays important roles in biotic and abiotic stress. However, the function of ferric reduction oxidase from Lilium pumilum in response to NaHCO3 is unknown. Here we report the functional characterization of ferric reduction oxidase 7 in Lilium pumilum (LpFRO7) in stresses. Under NaHCO3 stress, the LpFRO7 overexpression lines exhibited lower accumulation of reactive oxygen species (ROS), higher activities in antioxidant enzyme (CAT, SOD and POD) and ferrite reductase, resulting in improved tolerance compared to the wild type (WT). In order to determine the functional network of LpFRO7, it was confirmed by EMSA assays, Yeast one-hybrid assays and Dual luciferase reporter assays that LpbHLH115 transcription factor can bind to the promoter of LpFRO7. Yeast two-hybrid assays, BiFC, and LCI assays were performed to prove that LpFRO7 can interact with LpTrx. Combining these findings, we concluded that LpFRO7 affects plant saline-alkaline tolerance by regulating ROS homeostasis.
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Affiliation(s)
- Ling Zhang
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration, Ministry of Education, College of Life Sciences, Northeast Forestry University, Harbin, China.
| | - Zongying Wang
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration, Ministry of Education, College of Life Sciences, Northeast Forestry University, Harbin, China.
| | - Shangwei Ji
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration, Ministry of Education, College of Life Sciences, Northeast Forestry University, Harbin, China.
| | - Guoqing Zhu
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration, Ministry of Education, College of Life Sciences, Northeast Forestry University, Harbin, China.
| | - Yi Dong
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration, Ministry of Education, College of Life Sciences, Northeast Forestry University, Harbin, China; Aulin College, Northeast Forestry University, Harbin, Heilongjiang, China.
| | - Ji Li
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration, Ministry of Education, College of Life Sciences, Northeast Forestry University, Harbin, China.
| | - Yibo Jing
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration, Ministry of Education, College of Life Sciences, Northeast Forestry University, Harbin, China; Aulin College, Northeast Forestry University, Harbin, Heilongjiang, China.
| | - Shumei Jin
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration, Ministry of Education, College of Life Sciences, Northeast Forestry University, Harbin, China.
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Zhang Y, Liu Y, Zhu G, Wang Q, Ni J, Liu L, Zhang J, Zhang J, Li Z, Wang X, Huang Y, Dong M, Zhang Y, Wang Y. Noninvasive detection of diabetes mellitus based on skin fluorescence and diffuse reflectance spectroscopy. J Biophotonics 2024; 17:e202300098. [PMID: 37698142 DOI: 10.1002/jbio.202300098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 08/31/2023] [Accepted: 09/04/2023] [Indexed: 09/13/2023]
Abstract
There is an urgent need for a mass population screening tool for diabetes. Skin tissue contains a large number of endogenous fluorophores and physiological parameter markers related to diabetes. We built an excitation-emission spectrum measurement system with the excited light sources of 365, 395, 415, 430, and 455 nm to extract skin characteristics. The modeling experiment was carried out to design and verify the accuracy of the recovery of tissue intrinsic discrete three-dimensional fluorescence spectrum. Blood oxygen modeling experiment results indicated the accuracy of the physiological parameter extraction algorithm based on the diffuse reflectance spectrum. A community population cohort study was carried out. The tissue-reduced scattering coefficient and scattering power of the diabetes were significantly higher than normal control groups. The Gaussian multi-peak fitting was performed on each excitation-emission spectrum of the subject. A total of 63 fluorescence features containing information such as Gaussian spectral curve intensity, central wavelength position, and variance were obtained from each person. Logistic regression was used to construct the diabetes screening model. The results showed that the area under the receiver operating characteristic curve of the model for predicting diabetes was 0.816, indicating a high diagnostic value. As a rapid and non-invasive detection method, it is expected to have high clinical value.
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Affiliation(s)
- Yuanzhi Zhang
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei, China
| | - Yong Liu
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei, China
| | - Guoqing Zhu
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei, China
| | - Quanfu Wang
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei, China
| | - Jingshu Ni
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei, China
| | - Lin Liu
- Endocrinology Department, Peking University First Hospital, Beijing, China
| | - Jian Zhang
- Endocrinology Department, Peking University First Hospital, Beijing, China
| | - Junqing Zhang
- Endocrinology Department, Peking University First Hospital, Beijing, China
| | - Zhongsheng Li
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei, China
| | - Xia Wang
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei, China
| | - Yao Huang
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei, China
| | - Meili Dong
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei, China
| | - Yang Zhang
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei, China
| | - Yikun Wang
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Anhui Provincial Engineering Technology Research Center for Biomedical Optical Instrument, Anhui Provincial Engineering Laboratory for Medical Optical Diagnosis Treatment Technology and Instrument, Hefei, China
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Zhu G, Xiong S, Malhotra R, Chen X, Gong E, Wang Z, Østbye T, Yan LL. Individual perceptions of community efficacy for non-communicable disease management in twelve communities in China: cross-sectional and longitudinal analyses. Public Health 2024; 226:207-214. [PMID: 38086102 DOI: 10.1016/j.puhe.2023.11.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 10/08/2023] [Accepted: 11/06/2023] [Indexed: 01/15/2024]
Abstract
OBJECTIVES This objective of this study was to use empirical data to assess cross-sectional variation singular and changes over time in community efficacy for non-communicable diseases (NCDs) management (COEN) and to examine individual factors associated with changes in COEN. STUDY DESIGN This was a longitudinal observational study. METHODS Participants with hypertension and diabetes were randomly selected from 12 communities from three cities in eastern China, and a baseline survey and a 1-year follow-up were conducted. The COEN scale has five dimensions: community physical environment (CPE), behavioral risk factors (BRF), mental health and social relationships (MHSR), community health management (CHM), and community organisations and activities (COA). Mixed-effects models were used to investigate the change in COEN over time and the association between individual factors and changes in COEN. RESULTS COEN scores showed significant variation singular among the 12 communities (P < 0.001) at the baseline. In the mixed-effects model, CPE (β coefficient: 1.62, P < 0.001), BRF (0.90, P < 0.001), MHSR (0.86, P < 0.001), CHM (0.46, P < 0.001), and total scores (β = 3.57, P < 0.001) increased significantly over time. The changes in COEN were associated with individual characteristics (e.g., older, men, more educated). CONCLUSIONS Cross-sectional variations and changes over time in COEN demonstrated the utility of a sensitive instrument. Factors such as age, gender, marriage, education level, and employment may affect the financial and social resources assignment for NCD management. Our findings suggest that further high-quality studies are needed to better evaluate the effect of community empowerment on the prevention and control of NCDs.
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Affiliation(s)
- G Zhu
- School of Public Health, Wuhan University, Wuhan, Hubei, China; Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China
| | - S Xiong
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China; The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - R Malhotra
- Health Services and Systems Research, Duke-NUS Medical School, Singapore; Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore; SingHealth, Duke-NUS Global Health Institute Medical School, Singapore
| | - X Chen
- Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - E Gong
- School of Population Medicine and Public Health, China Academy of Medical Science & Peking Union Medical College, Beijing, China
| | - Z Wang
- Department of Agricultural Economics, College of Agriculture, Purdue University, West Lafayette, USA
| | - T Østbye
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China; Health Services and Systems Research, Duke-NUS Medical School, Singapore; Duke Global Health Institute, Duke University, Durham, NC, USA
| | - L L Yan
- School of Public Health, Wuhan University, Wuhan, Hubei, China; Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China; Duke Global Health Institute, Duke University, Durham, NC, USA.
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Liang H, Kong X, Ren Y, Wang H, Liu E, Sun F, Zhu G, Zhang Q, Zhou Y. Application of serum Raman spectroscopy in rapid and early discrimination of aplastic anemia and myelodysplastic syndrome. Spectrochim Acta A Mol Biomol Spectrosc 2023; 302:123008. [PMID: 37328404 DOI: 10.1016/j.saa.2023.123008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 05/24/2023] [Accepted: 06/10/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Raman spectroscopy of hematological diseases has gained attention from various researchers. However, serum analysis of bone marrow failure (BMF), represented by aplastic anemia (AA) and myelodysplastic syndromes (MDS) has not been fully investigated. In this study, we aimed at establishing a simple, non-invasive serum detection method for AA and MDS. METHOD Serum samples from 35 AA patients (N = 35), MDS patients (N = 25), and control volunteers (N = 23) were systematically analyzed via laser Raman spectroscopy, and orthogonal partial least squares discrimination analysis (OPLS-DA). Then, discrimination models between the BMFs and control were constructed and evaluated using the prediction set. RESULTS Compared to control volunteers, serum spectral data for BMF patients were specific. The intensities of Raman peaks representing nucleic acids (726, 781, 786, 1078, 1190, 1415 cm-1), proteins (1221 cm-1), phospholipid/cholesterol (1285 cm-1), and β-carotene (1162 cm-1) significantly decreased, while the intensity of lipids (1437 and 1446 cm-1) significantly increased. Intensities of Raman peaks representing nucleic acids (726 cm-1) and collagen (1344 cm-1) in the AA group were significantly lower than in the control group. Intensities of Raman peaks representing nucleic acids (726 and 786 cm-1), proteins (1003 cm-1), and collagen (1344 cm-1) in the MDS group were significantly lower than those of the control group. The intensity of Raman peaks representing lipids (1437 and 1443 cm-1) in the MDS group was significantly higher than in the control group. Patients with AA and MDS exhibited increased serum triglyceride levels and decreased high-density lipoprotein levels. CONCLUSIONS The relationship between serological test data for patients and typing of AA and MDS provides essential information for rapid and early identification of BMF. This study shows the potential of Raman spectroscopy for non-invasive detection of different BMF types.
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Affiliation(s)
- Haoyue Liang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Xiaodong Kong
- Department of Geriatrics, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yansong Ren
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Haoyu Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Ertao Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Fanfan Sun
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China.
| | - Qiang Zhang
- Department of Geriatrics, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, Tianjin 300052, China.
| | - Yuan Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China.
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Xiao Y, Zhu G, Xie J, Luo L, Deng W, Lin L, Tao J, Hu Z, Shan R. Pretreatment Neutrophil-to-Lymphocyte Ratio as Prognostic Biomarkers in Patients with Unresectable Hepatocellular Carcinoma Treated with Hepatic Arterial Infusion Chemotherapy Combined with Lenvatinib and Camrelizumab. J Hepatocell Carcinoma 2023; 10:2049-2058. [PMID: 37965074 PMCID: PMC10642375 DOI: 10.2147/jhc.s432134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 11/02/2023] [Indexed: 11/16/2023] Open
Abstract
Purpose This study aimed to assess the prognostic significance of the neutrophil-lymphocyte ratio (NLR) in patients with unresectable hepatocellular carcinoma (u-HCC) treated with hepatic artery infusion chemotherapy (HAIC) combined with lenvatinib and camrelizumab. Patients and Methods We conducted a retrospective cohort study involving patients diagnosed with u-HCC who underwent HAIC combined with lenvatinib and camrelizumab. Patients were stratified into two cohorts using the median NLR as the cutoff point. We then assessed treatment response, overall survival (OS), progression-free survival (PFS), and adverse events in these patient groups. Results Between October 2020 and April 2022, a total of 88 patients were enrolled in the study. The overall cohort exhibited a median PFS of 7.9 months, while the median OS was not reached, and a median NLR of 3.46. Notably, the group with NLR<3.46 demonstrated significantly superior OS (not reached vs 9.6 months, p = 0.017) and PFS (18.3 vs 5.3 months, p = 0.0015) compared to the NLR≥3.46 group. Furthermore, multivariate analysis revealed that an alpha-fetoprotein (AFP) ≥ 400 ng/mL [hazard ratio (HR), 2.133; 95% confidence interval (CI), 1.102-4.126; p = 0.024], Barcelona Clinical Hepatocellular Carcinoma (BCLC) stage C (HR, 2.319; 95% CI, 1.128-4.764; p = 0.022), and NLR ≥3.46 (HR, 2.35; 95% CI, 1.239-4.494; p = 0.009) were identified as independent risk factors for OS. Additionally, multivariate analysis demonstrated that AFP ≥ 400 ng/mL, BCLC stage C, and NLR ≥ 3.46 were independent negative factors of PFS. Conclusion NLR can be associated with outcomes in patients with u-HCC treated with HAIC combined with lenvatinib and camrelizumab.
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Affiliation(s)
- Yongqiang Xiao
- Department of General Surgery, the First Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China
| | - Guoqing Zhu
- Department of General Surgery, the First Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China
| | - Jin Xie
- Department of General Surgery, the First Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China
| | - Laihui Luo
- Department of General Surgery, the First Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China
| | - Wei Deng
- Department of General Surgery, the First Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China
| | - Liucong Lin
- Department of General Surgery, the First Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China
| | - Jiahao Tao
- Department of General Surgery, the First Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China
| | - Zhigao Hu
- Department of General Surgery, the First Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China
| | - Renfeng Shan
- Department of General Surgery, the First Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China
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Ingold N, Zhu G, Duffy DL, Mothershaw A, Martin NG, MacGregor S, Law MH. Counting nevi on the outer arm provides an accurate and feasible alternative to total body nevus count. J Eur Acad Dermatol Venereol 2023; 37:e1302-e1304. [PMID: 37328921 PMCID: PMC10615689 DOI: 10.1111/jdv.19279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 06/12/2023] [Indexed: 06/18/2023]
Affiliation(s)
- N Ingold
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
| | - G Zhu
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - D L Duffy
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - A Mothershaw
- Frazer Institute, University of Queensland, Dermatology Research Centre, Brisbane, Queensland, Australia
| | - N G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - S MacGregor
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - M H Law
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
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Zhu G, Song X, Sun Y, Xu Y, Xiao L, Wang Z, Sun Y, Zhang L, Zhang X, Geng Z, Qi Q, Wang Y, Wang L, Li J, Zuo L, Hu J. Esculentoside A ameliorates BSCB destruction in SCI rat by attenuating the TLR4 pathway in vascular endothelial cells. Exp Neurol 2023; 369:114536. [PMID: 37690527 DOI: 10.1016/j.expneurol.2023.114536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 08/26/2023] [Accepted: 09/06/2023] [Indexed: 09/12/2023]
Abstract
BACKGROUND AND AIMS Overexpressed MMP-9 in vascular endothelial cells is involved in blood spinal cord barrier (BSCB) dysfunction in spinal cord injury (SCI). Esculentoside A (EsA) has anti-inflammatory and cell protective effects. This study aimed to evaluate its effects on neuromotor function in SCI rats, as well as the potential mechanisms. METHODS The therapeutic effect of EsA in SCI rats was investigated using Basso-Beattie-Bresnahan (BBB) scores, a grid walk test and histological analyses. To assess the protective role of EsA in the BSCB and in oxygen glucose deprivation/reoxygenation (OGD/R)-induced hBMECs, the BSCB function, tight junctions (TJ) protein (ZO-1 and claudin-5) expression, structure of the BSCB and Matrix metalloproteinase-9 (MMP-9) expression were observed via Evans blue (EB) detection, immunofluorescence analyses and western blotting. Molecular docking simulations and additional experiments were performed to explore the potential mechanisms by which EsA maintains the function of the BSCB in vivo and in vitro. RESULTS EsA treatment improved BBB scores, reduced cavity formation and the loss of neuronal cells, demonstrating an improvement in motor function in SCI rats. In vivo experiments showed that EsA decreased the infiltration of blood cells and inflammatory mediators (IL-1β, IL-6 and TNF-α) and protected the structure of TJs in the rat spinal cord and in OGD/R-induced hBMECs. EsA inhibited the activation of Toll-like receptor 4 (TLR4) signalling, which may be related to the protective effect of EsA against MMP-9-induced BSCB damage. CONCLUSIONS EsA downregulated MMP-9 expression in vascular endothelial cells, protected BSCB function in SCI rats and attenuated TLR4 signalling and thus provide new options for the treatment of SCI.
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Affiliation(s)
- Guoqing Zhu
- Department of Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Anhui Key Laboratory of Tissue Transplantation, Bengbu Medical College, Bengbu, China
| | - Xue Song
- Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Department of Central Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Yang Sun
- Department of Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Anhui Key Laboratory of Tissue Transplantation, Bengbu Medical College, Bengbu, China
| | - Yibo Xu
- Department of Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Anhui Key Laboratory of Tissue Transplantation, Bengbu Medical College, Bengbu, China
| | - Linyu Xiao
- Department of Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Anhui Key Laboratory of Tissue Transplantation, Bengbu Medical College, Bengbu, China
| | | | - Yijie Sun
- Bengbu Medical College, Bengbu, Anhui, China
| | | | - Xiaofeng Zhang
- Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Department of Central Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Zhijun Geng
- Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Department of Central Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Qi Qi
- Anhui Key Laboratory of Tissue Transplantation, Bengbu Medical College, Bengbu, China
| | - Yueyue Wang
- Department of Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Lian Wang
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China
| | - Jing Li
- Department of Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Lugen Zuo
- Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Bengbu Medical College, Bengbu, Anhui, China
| | - Jianguo Hu
- Department of Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China; Anhui Key Laboratory of Tissue Transplantation, Bengbu Medical College, Bengbu, China; Anhui Province Key Laboratory of Basic and Translational Research of Inflammation-related Diseases, First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
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Zhu G, Zhou Y, Xu Y, Wang L, Han M, Xi K, Tang J, Li Z, Kou Y, Zhou X, Feng Y, Gu Y, Chen L. Functionalized acellular periosteum guides stem cell homing to promote bone defect repair. J Biomater Sci Polym Ed 2023; 34:2000-2020. [PMID: 37071056 DOI: 10.1080/09205063.2023.2204779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 04/17/2023] [Indexed: 04/19/2023]
Abstract
The periosteum plays a key role in bone tissue regeneration, especially in the promotion and protection of new bones. However, among the bone repair materials, many biomimetic artificial periosteum lack the natural periosteal structure, stem cells, and immunoregulation required for bone regeneration. In this study, we used natural periosteum to produce acellular periosteum. To retain the appropriate cell survival structure and immunomodulatory proteins, we grafted the functional polypeptide SKP on the surface collagen of the periosteum via an amide bond, providing the acellular periosteum with the ability to recruit mesenchymal stem cells. Thus, we developed a biomimetic periosteum (DP-SKP) with the ability to promote stem cell homing and immunoregulation in vivo. Compared to the blank and simple decellularized periosteum groups, DP-SKP was more conducive to stem cell adhesion, growth, and osteogenic differentiation in vitro. Additionally, compared with the other two groups, DP-SKP significantly promoted mesenchymal stem cell homing to the periosteal transplantation site, improved the bone immune microenvironment, and accelerated new lamellar bone formation in the critical size defect of rabbit skulls in vivo. Therefore, this acellular periosteum with a mesenchymal stem cell homing effect is expected to be used as an extracellular artificial periosteum in clinical practice.
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Affiliation(s)
- Guoqing Zhu
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
- Department of Orthopedics, Suzhou Municipal Hospital, Suzhou, China
| | - Yidi Zhou
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yichang Xu
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Lingjun Wang
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Meng Han
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
- Department of Orthopedics, Xuzhou Central Hospital, Xuzhou, China
| | - Kun Xi
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jincheng Tang
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Ziang Li
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yu Kou
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xindie Zhou
- Department of Orthopedics, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou, China
| | - Yu Feng
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yong Gu
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Liang Chen
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
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Zhu G, Huang L, Yin J, Gai W, Wei L. Multiple faults diagnosis for ocean-going marine diesel engines based on different neural network algorithms. Sci Prog 2023; 106:368504231212765. [PMID: 37946523 PMCID: PMC10638888 DOI: 10.1177/00368504231212765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
Fault diagnosis technologies for ocean-going marine diesel engines play an important role in the safety and reliability of ship navigation. Although many fault diagnosis technologies have achieved acceptable results for single fault of diesel engines, the diagnosis of multiple faults is rarely involved. Due to the strong correlation, non-linearity and randomness of multiple faults, it is extremely difficult to make an accurate diagnosis. In this study, diagnosis methods based on thermal parametric analysis combined with different neural network algorithms were established and used for the diagnosis of multiple faults in the ocean-going marine diesel engine. The results show that the Levenberg Marquardt back propagation neural network has the highest diagnostic accuracy rate of 88.89% and 100% for multiple faults and single faults, respectively, and its diagnostic time is also relatively short, 0.78 s. The Bayesian regularization back propagation neural network can give a diagnostic accuracy rate of 100% for single faults, but for multiple faults, the diagnostic accuracy rate is only 55.56%, and the diagnosis time for the entire sample is the longest. As for the probabilistic neural network, although it has the fastest diagnosis speed, it has the lowest diagnostic accuracy rate for both single faults and multiple faults. The results may provide references for the online diagnosis of single faults and multiple faults in ocean-going marine diesel engines.
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Affiliation(s)
- Guoqing Zhu
- Research Institute of Equipment Simulation Technology, Navy University of Engineering, Wuhan, China
| | - Lin Huang
- Simulation Training Center, Naval University of Engineering, Wuhan, China
| | - Jiapeng Yin
- Merchant Marine College, Shanghai Maritime University, Shanghai, China
- ALFA LAVAL Technology Company, Shanghai, China
| | - Wen Gai
- College of Information Engineering, Shanghai Maritime University, Shanghai, China
| | - Lijiang Wei
- Merchant Marine College, Shanghai Maritime University, Shanghai, China
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Xie Y, Cui Z, Fang S, Zhu G, Zhen N, Zhu J, Mao S, Sun F, Pan Q, Ma J. Anti-ferroptotic PRKAA2 serves as a potential diagnostic and prognostic marker for hepatoblastoma. J Gastrointest Oncol 2023; 14:1788-1805. [PMID: 37720445 PMCID: PMC10502548 DOI: 10.21037/jgo-23-110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 07/18/2023] [Indexed: 09/19/2023] Open
Abstract
Background The incidence rate of hepatoblastoma (HB), which is the most prevalent malignant tumour among children, rises each year. According to recent studies, a number of neoplastic disorders and ferroptosis are intimately connected. This study aims to identify key ferroptosis-related genes in HB and explore new directions for the diagnosis and treatment of HB. Methods Differentially expressed ferroptosis-related genes were identified using the Gene Expression Omnibus datasets. The functional annotation of candidate genes was evaluated through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Machine learning and receiver operating characteristic (ROC) curves revealed protein kinase AMP-activated catalytic subunit alpha 2 (PRKAA2), tribbles homolog 2 (TRIB2), and liver-type glutaminase (GLS2) as potential diagnostic genes of HB. By using quantitative reverse transcription polymerase chain reaction (qRT-PCR) and immunohistochemistry, relative expression of PRKAA2 was examined. The effect of PRKAA2 on proliferation, apoptosis, and ferroptosis of HB cells was verified in vitro and in vivo. Fisher's exact test was used to evaluate the clinical significance of PRKAA2 in HB. Results The prognostic indicators had a substantial correlation with PRKAA2 expression, which rose dramatically in HB tissues. PRKAA2 promotes proliferation and inhibits ferroptosis in HB cells. PRKAA2 plays a role in ferroptosis by regulating hypoxia-inducible factor 1α (HIF-1α) and transferrin receptor 1 (TFR1). Conclusions PRKAA2 functions as a tumor-promoting factor in HB by promoting cell proliferation and prohibiting ferroptosis. Ferroptosis-related genes PRKAA2 is a potential diagnostic and prognostic marker for HB as well as a novel therapeutic target in the future.
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Affiliation(s)
- Yi Xie
- Clinical Laboratory, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Clinical Molecular Diagnostics for Pediatrics, Shanghai, China
| | - Zhongqi Cui
- Department of Clinical Laboratory Medicine, Shanghai Tenth People’s Hospital of Tongji University, Shanghai, China
| | - Sijia Fang
- Clinical Laboratory, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Clinical Molecular Diagnostics for Pediatrics, Shanghai, China
| | - Guoqing Zhu
- Clinical Laboratory, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Clinical Molecular Diagnostics for Pediatrics, Shanghai, China
| | - Ni Zhen
- Clinical Laboratory, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Clinical Molecular Diagnostics for Pediatrics, Shanghai, China
| | - Jiabei Zhu
- Clinical Laboratory, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Clinical Molecular Diagnostics for Pediatrics, Shanghai, China
| | - Siwei Mao
- Clinical Laboratory, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Clinical Molecular Diagnostics for Pediatrics, Shanghai, China
| | - Fenyong Sun
- Department of Clinical Laboratory Medicine, Shanghai Tenth People’s Hospital of Tongji University, Shanghai, China
| | - Qiuhui Pan
- Clinical Laboratory, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Clinical Molecular Diagnostics for Pediatrics, Shanghai, China
- Sanya Women and Children’s Hospital Managed by Shanghai Children’s Medical Center, Sanya, China
| | - Ji Ma
- Clinical Laboratory, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Clinical Molecular Diagnostics for Pediatrics, Shanghai, China
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Li L, Zhu G, Xu W, Wang M, Xie Y, Bao Z, Qi M, Gao M, Li C. Construction of mPt/ICG-αA nanoparticles with enhanced phototherapeutic activities for multidrug-resistant bacterial eradication and wound healing. Nanoscale 2023; 15:13617-13627. [PMID: 37575088 DOI: 10.1039/d3nr02010j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
The emergence of multidrug-resistant (MDR) bacterial infections calls for novel strategies for effective bacterial inhibition and wound healing. Phototherapeutic approaches are promising in treating bacterial infection because of their high efficiency, noninvasiveness, and few side effects; however, their antibacterial effect is limited by the formation of biofilms in wounds. Herein, we report novel composite nanoparticles (mPt/ICG-αA NPs) combining mesoporous platinum (mPt) nanoparticles, indocyanine green (ICG) and α-amylase (αA) for combating MDR bacteria and treating wound infection, which integrates a triple bacterial inhibition mechanism arising from the combination of photodynamic therapy (PDT), photothermal therapy (PTT) and α-amylase enzymatic activities. The combination of mPt and ICG significantly enhances the effect of PTT and the temperature can be increased up to 80.8 °C to induce efficacious bacterial degeneration. Meanwhile, mPt/ICG-αA (mPIA) NPs with a low concentration of 25 μg mL-1 exhibited a remarkable catalase activity (CAT) and could continuously decompose endogenous H2O2 into O2 in a hypoxic microenvironment, thereby enhancing the PDT effect to achieve broad-spectrum bactericidal activity. mPIA NPs showed excellent MDR antibacterial efficiency against both Gram-positive Staphylococcus aureus (S. aureus) and Gram-negative Escherichia coli (E. coli), and the bactericidal rate reached up to 99.0% and 97.2% with single 808 nm near-infrared light irradiation, respectively. mPIA NPs also exhibited an excellent ability to destroy biofilms and biocompatibility. Animal experiments further suggested that mPIA NPs could achieve the successful repairment of wounds infected with S. aureus in living systems, while this platform demonstrated negligible toxicity towards mice. Considering the superior performances of mPIA NPs, the synergistic αA-CAT-PDT-PTT boosted therapeutic activity presented in the current work provides a promising method to effectively fight against biofilm-related infectious diseases and wound healing.
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Affiliation(s)
- Lei Li
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, P. R. China.
| | - Guoqing Zhu
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, P. R. China.
| | - Wencheng Xu
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, P. R. China.
| | - Man Wang
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, P. R. China.
| | - Yulin Xie
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, P. R. China.
| | - Zixian Bao
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, P. R. China
| | - Manlin Qi
- Department of Oral Implantology, Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, School and Hospital of Stomatology, Jilin University, Changchun 130021, P. R. China.
| | - Minghong Gao
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, P. R. China.
| | - Chunxia Li
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, P. R. China.
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Zhu G, Combs NG, Salmani-Rezaie S, Jeong H, Russell R, Harter JW, Stemmer S. Probing Local Symmetry Breaking in a Ferroelectric Superconductor. Microsc Microanal 2023; 29:1628. [PMID: 37613823 DOI: 10.1093/micmic/ozad067.836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Affiliation(s)
- G Zhu
- Materials Department, University of California, Santa Barbara, California, United States
| | - N G Combs
- Materials Department, University of California, Santa Barbara, California, United States
| | - S Salmani-Rezaie
- Materials Department, University of California, Santa Barbara, California, United States
| | - H Jeong
- Materials Department, University of California, Santa Barbara, California, United States
| | - R Russell
- Materials Department, University of California, Santa Barbara, California, United States
| | - J W Harter
- Materials Department, University of California, Santa Barbara, California, United States
| | - S Stemmer
- Materials Department, University of California, Santa Barbara, California, United States
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32
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Fang T, Sun H, Sun X, He Y, Tang P, Gong L, Yu Z, Liu L, Xie S, Wang T, Xu Z, Yi S, An G, Xu Y, Zhu G, Qiu L, Hao M. Exosome miRNAs profiling in serum and prognostic evaluation in patients with multiple myeloma. Blood Sci 2023; 5:196-208. [PMID: 37546707 PMCID: PMC10400059 DOI: 10.1097/bs9.0000000000000160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 04/18/2023] [Indexed: 08/08/2023] Open
Abstract
MicroRNAs (MiRNAs) carried by exosomes play pivotal roles in the crosstalk between cell components in the tumor microenvironment. Our study aimed at identifying the expression profile of exosomal miRNAs (exo-miRNAs) in the serum of multiple myeloma (MM) patients and investigating the regulation networks and their potential functions by integrated bioinformatics analysis. Exosomes in serum from 19 newly diagnosed MM patients and 9 healthy donors were isolated and the miRNA profile was investigated by small RNA sequencing. Differential expression of exo-miRNAs was calculated and target genes of miRNAs were predicted. CytoHubba was applied to identify the hub miRNAs and core target genes. The LASSO Cox regression model was used to develop the prognostic model, and the ESTIMATE immune score was calculated to investigate the correlation between the model and immune status in MM patients. The top six hub differentially expressed serum exo-miRNAs were identified. 513 target genes of the six hub exo-miRNAs were confirmed to be differentially expressed in MM cells in the Zhan Myeloma microarray dataset. Functional enrichment analysis indicated that these target genes were mainly involved in mRNA splicing, cellular response to stress, and deubiquitination. 13 core exo-miRNA target genes were applied to create a novel prognostic signature to provide risk stratification for MM patients, which is associated with the immune microenvironment of MM patients. Our study comprehensively investigated the exo-miRNA profiles in MM patients. A novel prognostic signature was constructed to facilitate the risk stratification of MM patients with distinct outcomes.
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Affiliation(s)
- Teng Fang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Hao Sun
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Xiyue Sun
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Yi He
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Peixia Tang
- Hematology Department, Fujian Medical University Union Hospital, Fujian Institute of Hematology, Fuzhou 350001, China
| | - Lixin Gong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Zhen Yu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Lanting Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Shiyi Xie
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Tingyu Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Zhenshu Xu
- Hematology Department, Fujian Medical University Union Hospital, Fujian Institute of Hematology, Fuzhou 350001, China
| | - Shuhua Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
- Gobroad Healthcare Group, Beijing 100072, China
| | - Mu Hao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
- Tianjin Institutes of Health Science, Tianjin 301600, China
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Zheng P, Ding B, Zhu G, Lin J, Li C. Usnea Acid-Incorporated Ca 2+ /Mn 2+ Ions Reservoirs for Elevated Ion-Interference Therapy through Synergetic Biocatalysis and Osmolarity Imbalance. Small 2023; 19:e2300370. [PMID: 37029698 DOI: 10.1002/smll.202300370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/28/2023] [Indexed: 06/19/2023]
Abstract
Ion-interference therapy (IIT) utilizes ions to disturb intracellular biological processes and has been received increasing attention in tumor treatments recently. However, the low therapeutic efficiency still hinders its further biological applications. Herein, via a simple and one-pot gas diffusion process, polyethylene glycol (PEG)-modified Mn2+ ions and usnic acid (UA)-incorporated CaCO3 nanomaterials (PEG CaMnUA) as Ca2+ /Mn2+ ions reservoirs are prepared for magnetic resonance imaging (MRI)-guided UA-elevated IIT. Among PEG CaMnUA, UA not only increases cytoplasmic Ca2+ ions to amplify Ca2+ overload caused by CaCO3 decomposition, but also enhances Mn2+ ions-participated Fenton-like biocatalysis by intracellular H2 O2 generation and glutathione consumption. Then increasing the intracellular oxidative stress and decreasing the triphosadenine supply induce apoptosis together, resulting in UA-boosted IIT. The simple and efficient design of the dual ions reservoirs will contribute to improve the antitumor activity of IIT and further development of calcium-based nanomaterials in the future.
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Affiliation(s)
- Pan Zheng
- Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, 266237, P. R. China
| | - Binbin Ding
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130 022, China
| | - Guoqing Zhu
- Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, 266237, P. R. China
| | - Jun Lin
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130 022, China
- School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei, 230 026, China
| | - Chunxia Li
- Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, 266237, P. R. China
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Zhang Y, Cao Y, Yang K, Wang W, Yang M, Chai L, Gu J, Li M, Lu Y, Zhou H, Zhu G, Cao J, Lu G. [Risk predictive models of healthcare-seeking delay among imported malaria patients in Jiangsu Province based on the machine learning]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:225-235. [PMID: 37455092 DOI: 10.16250/j.32.1374.2022290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
OBJECTIVE To create risk predictive models of healthcare-seeking delay among imported malaria patients in Jiangsu Province based on machine learning algorithms, so as to provide insights into early identification of imported malaria cases in Jiangsu Province. METHODS Case investigation, first symptoms and time of initial diagnosis of imported malaria patients in Jiangsu Province in 2019 were captured from Infectious Disease Report Information Management System and Parasitic Disease Prevention and Control Information Management System of Chinese Center for Disease Control and Prevention. The risk predictive models of healthcare-seeking delay among imported malaria patients were created with the back propagation (BP) neural network model, logistic regression model, random forest model and Bayesian model using thirteen factors as independent variables, including occupation, species of malaria parasite, main clinical manifestations, presence of complications, severity of disease, age, duration of residing abroad, frequency of malaria parasite infections abroad, incubation period, level of institution at initial diagnosis, country of origin, number of individuals travelling with patients and way to go abroad, and time of healthcare-seeking delay as a dependent variable. Logistic regression model was visualized using a nomogram, and the nomogram was evaluated using calibration curves. In addition, the efficiency of the four models for prediction of risk of healthcare-seeking delay among imported malaria patients was evaluated using the area under curve (AUC) of receiver operating characteristic curve (ROC). The importance of each characteristic was quantified and attributed by using SHAP to examine the positive and negative effects of the value of each characteristic on the predictive efficiency. RESULTS A total of 244 imported malaria patients were enrolled, including 100 cases (40.98%) with the duration from onset of first symptoms to time of initial diagnosis that exceeded 24 hours. Logistic regression analysis identified a history of malaria parasite infection [odds ratio (OR) = 3.075, 95% confidential interval (CI): (1.597, 5.923)], long incubation period [OR = 1.010, 95% CI: (1.001, 1.018)] and seeking healthcare in provincial or municipal medical facilities [OR = 12.550, 95% CI: (1.158, 135.963)] as risk factors for delay in seeking healthcare among imported malaria cases. BP neural network modeling showed that duration of residing abroad, incubation period and age posed great impacts on delay in healthcare-seek among imported malaria patients. Random forest modeling showed that the top five factors with the greatest impact on healthcare-seeking delay included main clinical manifestations, the way to go abroad, incubation period, duration of residing abroad and age among imported malaria patients, and Bayesian modeling revealed that the top five factors affecting healthcare-seeking delay among imported malaria patients included level of institutions at initial diagnosis, age, country of origin, history of malaria parasite infection and individuals travelling with imported malaria patients. ROC curve analysis showed higher overall performance of the BP neural network model and the logistic regression model for prediction of the risk of healthcare-seeking delay among imported malaria patients (Z = 2.700 to 4.641, all P values < 0.01), with no statistically significant difference in the AUC among four models (Z = 1.209, P > 0.05). The sensitivity (71.00%) and Youden index (43.92%) of the logistic regression model was higher than those of the BP neural network (63.00% and 36.61%, respectively), and the specificity of the BP neural network model (73.61%) was higher than that of the logistic regression model (72.92%). CONCLUSIONS Imported malaria cases with long duration of residing abroad, a history of malaria parasite infection, long incubation period, advanced age and seeking healthcare in provincial or municipal medical institutions have a high likelihood of delay in healthcare-seeking in Jiangsu Province. The models created based on the logistic regression and BP neural network show a high efficiency for prediction of the risk of healthcare-seeking among imported malaria patients in Jiangsu Province, which may provide insights into health management of imported malaria patients.
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Affiliation(s)
- Y Zhang
- School of Public Health, Yangzhou University, Yangzhou, Jiangsu 225007, China
| | - Y Cao
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - K Yang
- School of Artificial Intelligence, Yangzhou University, China
| | - W Wang
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - M Yang
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - L Chai
- School of Public Health, Yangzhou University, Yangzhou, Jiangsu 225007, China
| | - J Gu
- School of Public Health, Yangzhou University, Yangzhou, Jiangsu 225007, China
| | - M Li
- School of Nursing, Yangzhou University, China
| | - Y Lu
- Health and Quarantine Office, Nanjing Customs, China
| | - H Zhou
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - G Zhu
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - J Cao
- National Health Commission of Key Laboratory for Parasitic Disease Prevention and Control, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, China
| | - G Lu
- School of Public Health, Yangzhou University, Yangzhou, Jiangsu 225007, China
- Jiangsu Key Laboratory of Zoonoses, Yangzhou University, Yangzhou, Jiangsu 225007, China
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Sun Y, Xu Y, Xiao L, Zhu G, Li J, Song X, Xu L, Hu J. [Acetylcorynoline inhibits microglia activation by regulating EGFR/MAPK signaling to promote functional recovery of injured mouse spinal cord]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:915-923. [PMID: 37439163 DOI: 10.12122/j.issn.1673-4254.2023.06.06] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/14/2023]
Abstract
OBJECTIVE To investigate the effect of acetylcorynoline (Ace) for promoting functional recovery of injured spinal cord in rats and explore the underlying mechanism. METHODS Rat models of spinal cord injury (SCI) were treated with intraperitoneal injection of different concentrations of Ace, with the sham-operated rats as the control group. After the treatment, the changes in motor function of the rats and the area of spinal cord injury were assessed with BBB score and HE staining, and the changes in pro-inflammatory cytokine levels and microglial activation were determined using PCR, ELISA and immunofluorescence staining. In a lipopolysaccharide (LPS)-treated BV2 cell model, the effects of different concentrations of Ace or DMSO on microglial activation and inflammatory cytokine production were observed. Network pharmacology analysis was performed to predict the target protein and signaling mechanism that mediated the inhibitory effect of Ace on microglia activation, and AutoDock software was used for molecular docking between Ace and the target protein. A signaling pathway blocker (Osimertinib) was used to verify the signaling mechanism in rat models of SCI and LPS-treated BV2 cell model. RESULTS In rat models of SCI, Ace treatment significantly increased the BBB score, reduced the area of spinal cord injury, and lowered the number of activated microglia cells and the levels of pro-inflammatory cytokines (P < 0.05). The cell experiments showed that Ace treatment significantly lower the level of cell activation and the production of inflammatory cytokines in LPS-treated BV2 cells (P < 0.05). Network pharmacology analysis suggested that EGFR was the main target of Ace, and they bound to each other via hydrogen bonds as shown by molecular docking. Western blotting confirmed that Ace inhibited the activation of the EGFR/MAPK signaling pathway in injured mouse spinal cord tissue and in LPS-treated BV2 cells, and its inhibitory effect was comparable to that of Osimertinib. CONCLUSION In rat models of SCI, treatment with Ace can inhibit microglia-mediated inflammatory response by regulating the EGFR/MAPK pathway, thus promoting tissue repair and motor function recovery.
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Affiliation(s)
- Y Sun
- Department of Rehabilitation, First Affiliated Hospital of Bengbu Medical College, Bengbu 233030, China
| | - Y Xu
- Bengbu Medical College, First Affiliated Hospital of Bengbu Medical College,Bengbu 233030, China
| | - L Xiao
- Department of Rehabilitation, First Affiliated Hospital of Bengbu Medical College, Bengbu 233030, China
| | - G Zhu
- Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu 233030, China
| | - J Li
- Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu 233030, China
| | - X Song
- Central Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu 233030, China
| | - L Xu
- Department of Rehabilitation, First Affiliated Hospital of Bengbu Medical College, Bengbu 233030, China
| | - J Hu
- Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu 233030, China
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Zhu G, Tian C, Liu X, Yang Y, Wang S. Tri-objective optimization of a waste-to-energy plant with super critical carbon dioxide and multi-effect water desalination for building application based on biomass fuels. Chemosphere 2023:139108. [PMID: 37302493 DOI: 10.1016/j.chemosphere.2023.139108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 05/07/2023] [Accepted: 05/31/2023] [Indexed: 06/13/2023]
Abstract
In the present research, an innovative biomass-based energy system for the production of electricity and desalinated water for building application is proposed. The main subsystems of this power plant include gasification cycle, gas turbine (GT), supercritical carbon dioxide cycle (s-CO2), two-stage organic Rankine cycle (ORC) and MED water desalination unit with thermal ejector. A comprehensive thermodynamic and thermoeconomic evaluation is performed on the proposed system. For the analysis, first the system is modeled and analyzed from the energy point of view, then it is examined similarly from the exergy point of view, and then an economic analysis (exergy-economic analysis) is performed on the system. Then, we repeat the mentioned cases for several types of biomasses and compare them with each other. Grossman diagram will be presented to better understand the exergy of each point and its destruction in each component of the system. After energy, exergy and economic modeling and analysis, the system is analyzed and modeled using artificial intelligence to help the system optimization process, and the model obtained with genetic algorithm (GA) to maximize the output power of the system, minimize the cost system and maximizing the rate of water desalination is optimized. The basic analysis of the system is analyzed inside the EES software, then it is transferred to the MATLAB software to optimize and check the effect of operational parameters on the thermodynamic performance and the total cost rate (TCR). It is analyzed and modeled artificially and this model is used for optimization. The obtained result will be three-dimensional Pareto front for single-objective and double-objective optimization, for work-output-cost functions and sweetening-cost rate with the specified value of the design parameters. In the single-objective optimization, the maximum work output, the maximum rate of water desalination, and the minimum TCR will be 55,306.89 kW, 17216.86 m3/day, and $0.3760/s, respectively.
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Affiliation(s)
- Guoqing Zhu
- School of Urban Construction, Yangtze University, Jingzhou, 434100, China
| | - Congxiang Tian
- Yangtze University College of Arts and Sciences, Jingzhou, 434100, China.
| | - Xiancheng Liu
- School of Urban Construction, Yangtze University, Jingzhou, 434100, China
| | - Yong Yang
- School of Urban Construction, Yangtze University, Jingzhou, 434100, China
| | - Suqi Wang
- Faculty of Architecture and Civil Engineering, Huaiyin Institute of Technology, Jiangsu, China
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37
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Wang H, Liu C, Xie X, Niu M, Wang Y, Cheng X, Zhang B, Zhang D, Liu M, Sun R, Ma Y, Ma S, Wang H, Zhu G, Lu Y, Huang B, Su P, Chen X, Zhao J, Wang H, Shen L, Fu L, Huang Q, Yang Y, Wang H, Wu C, Ge W, Chen C, Huo Q, Wang Q, Wang Y, Geng L, Xie Y, Xie Y, Liu L, Qi J, Chen H, Wu J, Jiang E, Jiang W, Wang X, Shen Z, Guo T, Zhou J, Zhu P, Cheng T. Multi-omics blood atlas reveals unique features of immune and platelet responses to SARS-CoV-2 Omicron breakthrough infection. Immunity 2023:S1074-7613(23)00224-8. [PMID: 37257450 DOI: 10.1016/j.immuni.2023.05.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/19/2023] [Accepted: 05/11/2023] [Indexed: 06/02/2023]
Abstract
Although host responses to the ancestral SARS-CoV-2 strain are well described, those to the new Omicron variants are less resolved. We profiled the clinical phenomes, transcriptomes, proteomes, metabolomes, and immune repertoires of >1,000 blood cell or plasma specimens from SARS-CoV-2 Omicron patients. Using in-depth integrated multi-omics, we dissected the host response dynamics during multiple disease phases to reveal the molecular and cellular landscapes in the blood. Specifically, we detected enhanced interferon-mediated antiviral signatures of platelets in Omicron-infected patients, and platelets preferentially formed widespread aggregates with leukocytes to modulate immune cell functions. In addition, patients who were re-tested positive for viral RNA showed marked reductions in B cell receptor clones, antibody generation, and neutralizing capacity against Omicron. Finally, we developed a machine learning model that accurately predicted the probability of re-positivity in Omicron patients. Our study may inspire a paradigm shift in studying systemic diseases and emerging public health concerns.
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Affiliation(s)
- Hong Wang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China.
| | - Cuicui Liu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Xiaowei Xie
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Mingming Niu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Yingrui Wang
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China; Center for Infectious Disease Research, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang, China
| | - Xuelian Cheng
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Biao Zhang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Dong Zhang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Mengyao Liu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Rui Sun
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China; Center for Infectious Disease Research, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang, China
| | - Yezi Ma
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Shihui Ma
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Huijun Wang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Guoqing Zhu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Yang Lu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Baiming Huang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Pei Su
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Xiaoyuan Chen
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Jingjing Zhao
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Hongtao Wang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Long Shen
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Lixia Fu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Qianqian Huang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Yang Yang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - He Wang
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China
| | - Chunlong Wu
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., Hangzhou 310024, China
| | - Weigang Ge
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., Hangzhou 310024, China
| | - Chen Chen
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., Hangzhou 310024, China
| | - Qianyu Huo
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Qingping Wang
- Organ Transplant Center, Tianjin First Center Hospital, Tianjin 300192, China; NHC Key Laboratory for Critical Care Medicine, Tianjin First Center Hospital, Tianjin 300192, China; Research Institute of Transplant Medicine, Nankai University, Tianjin 300192, China
| | - Ying Wang
- Organ Transplant Center, Tianjin First Center Hospital, Tianjin 300192, China; NHC Key Laboratory for Critical Care Medicine, Tianjin First Center Hospital, Tianjin 300192, China; Research Institute of Transplant Medicine, Nankai University, Tianjin 300192, China
| | - Li Geng
- Organ Transplant Center, Tianjin First Center Hospital, Tianjin 300192, China; NHC Key Laboratory for Critical Care Medicine, Tianjin First Center Hospital, Tianjin 300192, China; Research Institute of Transplant Medicine, Nankai University, Tianjin 300192, China
| | - Yan Xie
- Organ Transplant Center, Tianjin First Center Hospital, Tianjin 300192, China; NHC Key Laboratory for Critical Care Medicine, Tianjin First Center Hospital, Tianjin 300192, China; Research Institute of Transplant Medicine, Nankai University, Tianjin 300192, China
| | - Yi Xie
- Key Research Laboratory for Infectious Disease Prevention for State Administration of Traditional Chinese Medicine, Tianjin Institute of Respiratory Diseases, Tianjin, China; Tianjin Key Laboratory of Lung Regenerative Medicine, Haihe Hospital, Tianjin University, Tianjin, China
| | - Lijun Liu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Jianwei Qi
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Huaiyong Chen
- Key Research Laboratory for Infectious Disease Prevention for State Administration of Traditional Chinese Medicine, Tianjin Institute of Respiratory Diseases, Tianjin, China; Tianjin Key Laboratory of Lung Regenerative Medicine, Haihe Hospital, Tianjin University, Tianjin, China
| | - Junping Wu
- Department of Tuberculosis, Haihe Hospital, Tianjin University, Tianjin, China; Key Research Laboratory for Infectious Disease Prevention for State Administration of Traditional Chinese Medicine, Tianjin Institute of Respiratory Diseases, Tianjin, China; Tianjin Key Laboratory of Lung Regenerative Medicine, Haihe Hospital, Tianjin University, Tianjin, China
| | - Erlie Jiang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Wentao Jiang
- Organ Transplant Center, Tianjin First Center Hospital, Tianjin 300192, China; NHC Key Laboratory for Critical Care Medicine, Tianjin First Center Hospital, Tianjin 300192, China; Research Institute of Transplant Medicine, Nankai University, Tianjin 300192, China
| | - Ximo Wang
- Tianjin Key Laboratory of Lung Regenerative Medicine, Haihe Hospital, Tianjin University, Tianjin, China; Tianjin Key Laboratory of Acute Abdomen Disease Associated Organ Injury and ITCWM Repair, Tianjin, China.
| | - Zhongyang Shen
- Organ Transplant Center, Tianjin First Center Hospital, Tianjin 300192, China; NHC Key Laboratory for Critical Care Medicine, Tianjin First Center Hospital, Tianjin 300192, China; Research Institute of Transplant Medicine, Nankai University, Tianjin 300192, China.
| | - Tiannan Guo
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou 310024, Zhejiang, China; Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang, China; Center for Infectious Disease Research, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang, China.
| | - Jiaxi Zhou
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China.
| | - Ping Zhu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China.
| | - Tao Cheng
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China; Tianjin Institutes of Health Science, Tianjin 301600, China.
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Zhu G, Cao J. [Regular assessment is an effective approach to maintaining the capacity of prevention of re-establishment from imported malaria in China]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:113-115. [PMID: 37253558 DOI: 10.16250/j.32.1374.2023049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
After achieving malaria elimination, preventing re-establishment from imported malaria and consolidating malaria elimination achievements are top priorities of the national malaria control program in China. Due to the long-term existence of overseas imported malaria cases and incomplete eradication of local epidemic conditions, there are multiple challenges for prevention of re-establishment from imported malaria in China. Hereby, we propose that regular assessment is an effective approach to maintaining the capability of prevention of re-establishment from imported malaria, and describe the purpose, significance, management and implementation of the capability assessment for prevention of re-establishment from imported malaria, so as to provide insights into the formulation and adjustment of malaria control strategies during the post-elimination phase.
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Affiliation(s)
- G Zhu
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Key Laboratory of Jiangsu Province on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - J Cao
- Key Laboratory of National Health Commission on Parasitic Disease Control and Prevention, Key Laboratory of Jiangsu Province on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
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Xiao S, Zhang Y, Liu Z, Li A, Tong W, Xiong X, Nie J, Zhong N, Zhu G, Liu J, Liu Z. Alpinetin inhibits neuroinflammation and neuronal apoptosis via targeting the JAK2/STAT3 signaling pathway in spinal cord injury. CNS Neurosci Ther 2023; 29:1094-1108. [PMID: 36627822 PMCID: PMC10018110 DOI: 10.1111/cns.14085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/13/2022] [Accepted: 12/22/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND A growing body of research shows that drug monomers from traditional Chinese herbal medicines have antineuroinflammatory and neuroprotective effects that can significantly improve the recovery of motor function after spinal cord injury (SCI). Here, we explore the role and molecular mechanisms of Alpinetin on activating microglia-mediated neuroinflammation and neuronal apoptosis after SCI. METHODS Stimulation of microglia with lipopolysaccharide (LPS) to simulate neuroinflammation models in vitro, the effect of Alpinetin on the release of pro-inflammatory mediators in LPS-induced microglia and its mechanism were detected. In addition, a co-culture system of microglia and neuronal cells was constructed to assess the effect of Alpinetin on activating microglia-mediated neuronal apoptosis. Finally, rat spinal cord injury models were used to study the effects on inflammation, neuronal apoptosis, axonal regeneration, and motor function recovery in Alpinetin. RESULTS Alpinetin inhibits microglia-mediated neuroinflammation and activity of the JAK2/STAT3 pathway. Alpinetin can also reverse activated microglia-mediated reactive oxygen species (ROS) production and decrease of mitochondrial membrane potential (MMP) in PC12 neuronal cells. In addition, in vivo Alpinetin significantly inhibits the inflammatory response and neuronal apoptosis, improves axonal regeneration, and recovery of motor function. CONCLUSION Alpinetin can be used to treat neurodegenerative diseases and is a novel drug candidate for the treatment of microglia-mediated neuroinflammation.
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Affiliation(s)
- Shining Xiao
- Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Institute of Spine and Spinal Cord, Nanchang University, Nanchang, China.,Medical Innovation Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yu Zhang
- Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Institute of Spine and Spinal Cord, Nanchang University, Nanchang, China.,Medical Innovation Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zihao Liu
- Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Institute of Spine and Spinal Cord, Nanchang University, Nanchang, China.,Medical Innovation Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Anan Li
- Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Institute of Spine and Spinal Cord, Nanchang University, Nanchang, China.,Medical Innovation Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Weilai Tong
- Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Institute of Spine and Spinal Cord, Nanchang University, Nanchang, China.,Medical Innovation Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xu Xiong
- Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Institute of Spine and Spinal Cord, Nanchang University, Nanchang, China.,Medical Innovation Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jiangbo Nie
- Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Institute of Spine and Spinal Cord, Nanchang University, Nanchang, China.,Medical Innovation Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Nanshan Zhong
- Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Institute of Spine and Spinal Cord, Nanchang University, Nanchang, China.,Medical Innovation Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Guoqing Zhu
- Medical Innovation Center, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Department of General Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jiaming Liu
- Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Institute of Spine and Spinal Cord, Nanchang University, Nanchang, China.,Medical Innovation Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zhili Liu
- Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, China.,Institute of Spine and Spinal Cord, Nanchang University, Nanchang, China.,Medical Innovation Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
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Li J, Yang S, Li C, Zhu G, Xia J. Prognostic value of combined pre- and postoperative albumin-to-alkaline phosphatase ratio for patients with hepatocellular carcinoma undergoing trans-catheter chemoembolisation. Clin Radiol 2023; 78:301-309. [PMID: 36690510 DOI: 10.1016/j.crad.2022.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 11/04/2022] [Accepted: 12/16/2022] [Indexed: 01/13/2023]
Abstract
AIM To reveal the prognostic value of the postoperative and dynamic albumin-to-alkaline phosphatase ratio (AAPR) in hepatocellular carcinoma (HCC) patients undergoing trans-catheter chemoembolisation (TACE). MATERIALS AND METHODS In total, 545 HCC patients undergoing initial TACE were enrolled into the study. The receiver operating characteristic (ROC) curve was plotted to determine the best cut-off for AAPR. Univariate and multivariate Cox regression analyses were used to confirm the independent prognostic effect of AAPR on overall survival (OS). The predictive performance of AAPR was assessed by ROC curves, concordance index (C-index), and Akaike information criterion (AIC), and was compared to existing liver function assessment systems. RESULTS The optimal cut-off value for the AAPR was 0.26. Elevated AAPR (>0.26) was associated with a low risk of death after adjustment whether before (HR: 0.53; 95% CI: 0.4-0.69) or after (HR: 0.64; 95% CI: 0.43-0.95) TACE treatment. The combined pre- and postoperative AAPR showed much better performance in ROC curve (1-, 3-, and 5-year AUCs: 0.69, 0.71, 0.69), C-index (0.65; 95% CI: 0.59-0.72) and AIC analyses than pre-AAPR and post-AAPR alone or liver function assessment systems. CONCLUSION This study demonstrated both preoperative and postoperative AAPR were independent prognostic factors for HCC patients undergoing TACE. In addition, the combined pre- and post-AAPR showed better predictive performance than pre-AAPR and post-AAPR alone or liver function assessment systems.
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Affiliation(s)
- J Li
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - S Yang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - C Li
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - G Zhu
- Department of Interventional Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - J Xia
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China; Department of Interventional Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
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Chiu PF, Mok A, Leow J, Zhang K, Chiang C, Hsieh P, Lam W, Tsang W, Chan H, Fan Y, Lin T, Hayashi T, Kamoi K, Uno H, Letran J, Zhu Y, Wang H, Chan T, Huang C, Zhu G, Wu H, Chiong E, Ng C, Shoji S. The role of systematic biopsy in the era of MRI guided prostate biopsy in a multi-centre Asian cohort. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00347-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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Li J, Li C, Zhu G, Yang J, Zhang Y, Yu Z, Xia J. A novel nomogram to predict survival of patients with hepatocellular carcinoma after transarterial chemoembolization: a tool for retreatment decision making. Ann Transl Med 2023; 11:68. [PMID: 36819596 PMCID: PMC9929754 DOI: 10.21037/atm-22-6513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 01/06/2023] [Indexed: 01/15/2023]
Abstract
Background There is still no standardized policy regarding how to identify patients who are not benefiting from transarterial chemoembolization (TACE). We aimed to establish and validate a nomogram model to predict the survival rate of hepatocellular carcinoma (HCC) patients after TACE. Methods A total of 578 HCC patients undergoing initial TACE at the First Affiliated Hospital of Wenzhou Medical University were retrospectively recruited to the study. The patients were randomly divided into 2 cohorts: a training cohort (n=405) and a validation cohort (n=173). To develop the nomogram, Cox regression analyses were used to identify independent risk factors. The performances of the nomogram were assessed by concordance index (C-index), calibration curves, and decision curve analysis (DCA), and were compared to 4 developed prognostic models. Results We used 5 independent risk factors including postoperative albumin-bilirubin (ALBI) grade, tumor diameter, number of tumors, portal vein invasion, and tumor response to develop the nomogram. Calibration curves showed consistency between the nomogram and the actual observation. The C-index of the nomogram was 0.753 [95% confidence interval (CI): 0.722, 0.784], which was higher than the other prognostic models (P<0.001). The DCA showed that the nomogram had the highest net benefit among the models. According to predicted survival risk, the nomogram could divide patients into 3 groups (P<0.001). All the results were verified in the validation cohort. Conclusions This study developed and validated a nomogram model for HCC patients undergoing TACE, which could predict the survival rate and provide support for further treatment strategies.
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Affiliation(s)
- Jie Li
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Chengjun Li
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Guoqing Zhu
- Department of Interventional Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Junhui Yang
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yunjie Zhang
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zhijie Yu
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jinglin Xia
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China;,Department of Interventional Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China;,Liver Cancer Institute, Zhongshan Hospital of Fudan University, Shanghai, China
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Zhu J, Mao S, Zhen N, Zhu G, Bian Z, Xie Y, Tang X, Ding M, Wu H, Ma J, Zhu Y, Sun F, Pan Q. SNORA14A inhibits hepatoblastoma cell proliferation by regulating SDHB-mediated succinate metabolism. Cell Death Dis 2023; 9:36. [PMID: 36717552 PMCID: PMC9886955 DOI: 10.1038/s41420-023-01325-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 01/06/2023] [Accepted: 01/11/2023] [Indexed: 01/31/2023]
Abstract
Hepatoblastoma (HB) is the most common paediatric liver malignancy. Dysregulation of small nucleolar RNAs (snoRNAs) is a critical inducer of tumour initiation and progression. However, the association between snoRNAs and HB remains unknown. Here, we conducted snoRNA expression profiling in HB by snoRNA sequencing and identified a decreased level of SNORA14A, a box H/ACA snoRNA, in HB tissues. Low expression of SNORA14A was correlated with PRETEXT stage and metastasis in patients. Functionally, overexpression of SNORA14A suppressed HB cell proliferation and triggered cell apoptosis and G2/M phase arrest. Mechanistically, SNORA14A overexpression promoted the processing and maturation of the 18 S ribosomal RNA (rRNA) precursor to increase succinate dehydrogenase subunit B (SDHB) protein levels. In accordance with SNORA14A downregulation, SDHB protein expression was significantly reduced in HB tissues and cells, accompanied by abnormal accumulation of succinate. Overexpression of SDHB showed antiproliferative and proapoptotic effects and the capacity to induce G2/M phase arrest, while succinate dose-dependently stimulated HB cell growth. Furthermore, the inhibition of SNORA14A in HB malignant phenotypes was mediated by SDHB upregulation-induced reduction of cellular succinate levels. Therefore, the SNORA14A/18 S rRNA/SDHB axis suppresses HB progression by preventing cellular accumulation of the oncometabolite succinate and provides promising prognostic biomarkers and novel therapeutic targets for HB.
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Affiliation(s)
- Jiabei Zhu
- grid.16821.3c0000 0004 0368 8293Department of Laboratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China ,Shanghai Key Laboratory of Clinical Molecular Diagnostics for Paediatrics, Shanghai, 200127 China
| | - Siwei Mao
- grid.16821.3c0000 0004 0368 8293Department of Laboratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China ,Shanghai Key Laboratory of Clinical Molecular Diagnostics for Paediatrics, Shanghai, 200127 China
| | - Ni Zhen
- grid.16821.3c0000 0004 0368 8293Department of Laboratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Guoqing Zhu
- grid.16821.3c0000 0004 0368 8293Department of Laboratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Zhixuan Bian
- grid.16821.3c0000 0004 0368 8293Department of Laboratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Yi Xie
- grid.16821.3c0000 0004 0368 8293Department of Laboratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Xiaochen Tang
- grid.16821.3c0000 0004 0368 8293Department of Laboratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Miao Ding
- grid.16821.3c0000 0004 0368 8293Department of Laboratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Han Wu
- grid.16821.3c0000 0004 0368 8293Department of Laboratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Ji Ma
- grid.16821.3c0000 0004 0368 8293Department of Laboratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Yizhun Zhu
- grid.259384.10000 0000 8945 4455State Key Laboratory of Quality Research in Chinese Medicine and School of Pharmacy, Macau University of Science and Technology, Macau, 999078 China
| | - Fenyong Sun
- grid.412538.90000 0004 0527 0050Department of Laboratory Medicine, Shanghai Tenth People’s Hospital of Tongji University, Shanghai, 200072 China
| | - Qiuhui Pan
- grid.16821.3c0000 0004 0368 8293Department of Laboratory Medicine, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China ,Shanghai Key Laboratory of Clinical Molecular Diagnostics for Paediatrics, Shanghai, 200127 China ,grid.415626.20000 0004 4903 1529Sanya Women and Children’s Hospital Managed by Shanghai Children’s Medical Center, Sanya, 572000 China
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Xu C, Chen X, Zhu G, Yi H, Chen S, Yu Y, Jiang E, Zheng Y, Zhang F, Wang J, Feng S. Corrigendum to 'Utility of plasma cell-free DNA next-generation sequencing for diagnosis of infectious diseases in patients with hematological disorders' [Journal of Infection Volume 86 Issue 1 (2023) pages 14-23]. J Infect 2023; 86:419. [PMID: 36653201 DOI: 10.1016/j.jinf.2023.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Affiliation(s)
- Chunhui Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China; Microbiology Laboratory, Tianjin Union Precision Medical Diagnostic Co., Ltd, Tianjin 301617, China
| | - Xin Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Huiming Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Shulian Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yuetian Yu
- Department of Critical Care Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Erlie Jiang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yizhou Zheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Fengkui Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Jianxiang Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Sizhou Feng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
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Chen F, Zhu G, Wang X, Yao B, Guo W, Xu T, Peng M, Cheng D. Optimization of the impeller of sand-ejecting fire extinguisher based on CFD-DEM simulations and Kriging model. ADV POWDER TECHNOL 2023. [DOI: 10.1016/j.apt.2022.103898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Xu C, Chen X, Zhu G, Yi H, Chen S, Yu Y, Jiang E, Zheng Y, Zhang F, Wang J, Feng S. Utility of plasma cell-free DNA next-generation sequencing for diagnosis of infectious diseases in patients with hematological disorders. J Infect 2023; 86:14-23. [PMID: 36462587 DOI: 10.1016/j.jinf.2022.11.020] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 11/07/2022] [Accepted: 11/22/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND Plasma cell-free DNA Next-Generation Sequencing has been used as a non-invasive and comprehensive method for the etiological diagnosis of infectious diseases. However, only a handful of studies have described the real-world utility of this technique in patients with hematological disorders, a cohort of patients that are distinctive due to neutropenia and weakened immune functions. METHODS We retrospectively analyzed the results of plasma cell-free DNA sequencing performed on 184 and 163 specimens collected from hematological patients suspected of infections with (Group I) or without (Group II) neutropenia, respectively. The diagnostic performance and the clinical impact of plasma sequencing were comparatively evaluated to conventional microbiological tests and a composite reference standard (conventional tests combined with the clinical assessment). RESULTS The overall positive detection rate of plasma cell-free DNA sequencing was significantly higher than that of conventional microbiological tests (72.6% vs.31.4%, P < 0.001). The positive rate of conventional microbiological tests in Group I was lower than that in Group II (25.5% vs. 38.0%, P = 0.012). Combining plasma sequencing with conventional tests yielded a positive detection rate of 75.0% and 74.8% for these two groups, respectively. Using the composite reference standard, the sensitivity and specificity of plasma sequencing were 89.1% and 65.1%, respectively. The proportions of the positive impact of cell-free DNA sequencing results in the Group I were higher than in the Group II in terms of both diagnosis and treatment (diagnosis: 54.3% vs. 40.5%, P = 0.013; treatment: 45.7% vs.30.7%, P = 0.004). A total of 73 patients (21.0%) benefited from plasma sequencing through adjustment of the antibiotic regimen. CONCLUSIONS The diagnostic yield of conventional microbiological tests was low in patients with neutropenia. Combining conventional tests with plasma cell-free DNA sequencing significantly improved the detection rate for pathogens and optimized antibiotic treatment. Our findings on the clinical impact warrant confirmation through larger, multicenter, randomized controlled trials. Moreover, the cost-effectiveness of this testing strategy remains unknown and requires further exploration.
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Affiliation(s)
- Chunhui Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China; Microbiology laboratory, Tianjin Union Precision Medical Diagnostic Co., Ltd, 301617, Tianjin, China
| | - Xin Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Huiming Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Shulian Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yuetian Yu
- Department of Critical Care Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Erlie Jiang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yizhou Zheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Fengkui Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Jianxiang Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Sizhou Feng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
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Huang L, Zhu G, Mu Y, Xia Y. The Sysmex XN series hematopoietic progenitor cell (XN-HPC) as a predictive marker of stem cell enumeration and products: a systemic review and meta-analysis. Hematology 2022; 27:1230-1236. [DOI: 10.1080/16078454.2022.2143747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Lunhui Huang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People’s Republic of China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People’s Republic of China
| | - Yueyi Mu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People’s Republic of China
| | - Yonghui Xia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People’s Republic of China
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Luo L, He Y, Zhu G, Xiao Y, Song S, Ge X, Wang T, Xie J, Deng W, Hu Z, Shan R. Hepatectomy After Conversion Therapy for Initially Unresectable HCC: What is the Difference? J Hepatocell Carcinoma 2022; 9:1353-1368. [PMID: 36578526 PMCID: PMC9792109 DOI: 10.2147/jhc.s388965] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 12/07/2022] [Indexed: 12/24/2022] Open
Abstract
Purpose Conversion therapy gives some patients with initially unresectable hepatocellular carcinoma (HCC) access to surgery. The purpose of this study was to evaluate the safety and efficacy of hepatectomy after conversion therapy and how it differed from those who undergoing direct hepatectomy. Patients and Methods From January 2018 to April 2022, 745 patients underwent hepatectomy for HCC were enrolled. Among them, 41 patients of unresectable HCC underwent hepatectomy after conversion therapy. A demographically and clinically comparable cohort was created from the remaining patients in a 1:1 ratio using propensity score matching. Results The median duration of conversion therapy was 108 (42-298) days, 8 patients achieved complete response (CR) and 33 achieved partial response (PR). Conversion therapy resulted in some degree of myelosuppression, but liver function index remained good. Compared with the direct hepatectomy group, the conversion group had more blood loss (600 mL vs 400 mL, p=0.015), longer operative time (270 min vs 240 min, p=0.02), higher blood transfusion rates, and longer hospital stay (8 days vs 11 days, p<0.001). Patients in the conversion group had significantly more complications of any grade (82.9% vs 51.2%, p=0.002) and grade 3/4 (26.8% vs 4.9%, p=0.013), and 6 patients developed post-hepatectomy liver failure (PHLF). There were no deaths in either group. All patients achieved R0 resection, 6 (6/41, 14.6%) achieved pathological complete response (pCR), 14 achieved major pathologic responses (MPR). During a median follow-up of 12.8 months, 14 patients in the conversion group experienced recurrence or metastasis, no deaths. Conclusion Hepatectomy after conversion therapy was more difficult than direct hepatectomy, but accurate preoperative assessment could ensure the safety of the surgery. The damage of liver function after conversion therapy was more severe than expected, PHLF should be prevented and treated. Hepatectomy was effective and necessary, postoperative pathological examination could provide guidance for adjuvant therapy.
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Affiliation(s)
- Laihui Luo
- Department of General Surgery, The First Affiliated Hospital of Nanchang, Nanchang, People’s Republic of China
| | - Yongzhu He
- Department of General Surgery, The First Affiliated Hospital of Nanchang, Nanchang, People’s Republic of China
| | - Guoqing Zhu
- Department of General Surgery, The First Affiliated Hospital of Nanchang, Nanchang, People’s Republic of China
| | - Yongqiang Xiao
- Department of General Surgery, The First Affiliated Hospital of Nanchang, Nanchang, People’s Republic of China
| | - Shengjiang Song
- Department of General Surgery, The First Affiliated Hospital of Nanchang, Nanchang, People’s Republic of China
| | - Xian Ge
- Department of Pathology, The First Affiliated Hospital of Nanchang, Nanchang, People’s Republic of China
| | - Tao Wang
- Department of Day Surgery Ward, The First Affiliated Hospital of Nanchang, Nanchang, People’s Republic of China
| | - Jin Xie
- Department of General Surgery, The First Affiliated Hospital of Nanchang, Nanchang, People’s Republic of China
| | - Wei Deng
- Department of General Surgery, The First Affiliated Hospital of Nanchang, Nanchang, People’s Republic of China
| | - Zhigao Hu
- Department of General Surgery, The First Affiliated Hospital of Nanchang, Nanchang, People’s Republic of China
| | - Renfeng Shan
- Department of General Surgery, The First Affiliated Hospital of Nanchang, Nanchang, People’s Republic of China,Correspondence: Renfeng Shan, Department of General Surgery, The First Affiliated Hospital of Nanchang University, 17 Yong Wai Zheng Street, Nanchang, 330006, People’s Republic of China, Tel +86 0791-88692522, Email
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Wagner M, Khalid F, Zhu G, Maity P, Lindenberg K, Landwehrmeyer B, Kochanek S, Scharffetter-Kochanek K, Mulaw M, Iben S. 280 Research on skin cells unravels general mechanisms of neurological degeneration. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.09.292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Yang J, Tong T, Zhu C, Zhou M, Jiang Y, Chen H, Que L, Liu L, Zhu G, Ha T, Chen Q, Li C, Xu Y, Li J, Li Y. Peli1 contributes to myocardial ischemia/reperfusion injury by impairing autophagy flux via its E3 ligase mediated ubiquitination of P62. J Mol Cell Cardiol 2022; 173:30-46. [PMID: 36179399 DOI: 10.1016/j.yjmcc.2022.09.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 09/08/2022] [Accepted: 09/19/2022] [Indexed: 01/18/2023]
Abstract
Autophagy flux is impaired during myocardial ischemia/reperfusion (M-I/R) via the accumulation of autophagosome and insufficient clearance, which exacerbates cardiomyocyte death. Peli1 (Pellion1) is a RING finger domain-containing ubiquitin E3 ligase that could catalyze the polyubiquitination of substrate proteins. Peli1 has been demonstrated to play an important role in ischemic cardiac diseases. However, little is known about whether Peli1 is involved in the regulation of autophagy flux during M-I/R. The present study investigated whether M-I/R induced impaired autophagy flux could be mediated through Peli1 dependent mechanisms. We induced M-I/R injury in wild type (WT) and Peli1 knockout mice and observed that M-I/R significantly decreased cardiac function that was associated with increased cardiac Peli1 expression and upregulated autophagy-associated protein LC3II and P62. In contrast, Peli1 knockout mice exhibited significant improvement of M-I/R induced cardiac dysfunction and decreased LC3II and P62 expression. Besides, inhibitors of autophagy also increased the infarct size in Peli1 knockout mice after 24 h of reperfusion. Mechanistic studies demonstrated that in vivo I/R or in vitro hypoxia/reoxygenation (H/R) markedly increased the Peli1 E3 ligase activity which directly promoted the ubiquitination of P62 at lysine(K)7 via K63-linkage to inhibit its dimerization and autophagic degradation. Co-immunoprecipitation and GST-pull down assay indicated that Peli1 interacted with P62 via the Ring domain. In addition, Peli1 deficiency also decreased cardiomyocyte apoptosis. Together, our work demonstrated a critical link between increased expression and activity of Peli1 and autophagy flux blockage in M-I/R injury, providing insight into a promising strategy for treating myocardium M-I/R injury.
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Affiliation(s)
- Jie Yang
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Tingting Tong
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Chenghao Zhu
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Miao Zhou
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Yuqing Jiang
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Hao Chen
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Department of Pathology, Wannan Medical College, Wuhu 241002, Anhui, China
| | - Linli Que
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Li Liu
- Department of Geriatrics, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu, China
| | - Guoqing Zhu
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Tuanzhu Ha
- Department of Surgery, East Tennessee State University, Campus Box 70575, Johnson City, TN 37614-0575, USA
| | - Qi Chen
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - Chuanfu Li
- Department of Surgery, East Tennessee State University, Campus Box 70575, Johnson City, TN 37614-0575, USA
| | - Yong Xu
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, Jiangsu, China; Institute of Biomedical Research, Liaocheng University, Liaocheng 252000, Shandong, China
| | - Jiantao Li
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, Jiangsu, China.
| | - Yuehua Li
- Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing 211166, Jiangsu, China.
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