1
|
Guo X, Feng Y, Ji X, Jia N, Maimaiti A, Lai J, Wang Z, Yang S, Hu S. Shared genetic architecture and bidirectional clinical risks within the psycho-metabolic nexus. EBioMedicine 2025; 111:105530. [PMID: 39731856 PMCID: PMC11743124 DOI: 10.1016/j.ebiom.2024.105530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2024] [Revised: 12/12/2024] [Accepted: 12/12/2024] [Indexed: 12/30/2024] Open
Abstract
BACKGROUND Increasing evidence suggests a complex interplay between psychiatric disorders and metabolic dysregulations. However, most research has been limited to specific disorder pairs, leaving a significant gap in our understanding of the broader psycho-metabolic nexus. METHODS This study leveraged large-scale cohort data and genome-wide association study (GWAS) summary statistics, covering 8 common psychiatric disorders and 43 metabolic traits. We introduced a comprehensive analytical strategy to identify shared genetic bases sequentially, from key genetic correlation regions to local pleiotropy and pleiotropic genes. Finally, we developed polygenic risk score (PRS) models to translate these findings into clinical applications. FINDINGS We identified significant bidirectional clinical risks between psychiatric disorders and metabolic dysregulations among 310,848 participants from the UK Biobank. Genetic correlation analysis confirmed 104 robust trait pairs, revealing 1088 key genomic regions, including critical hotspots such as chr3: 47588462-50387742. Cross-trait meta-analysis uncovered 388 pleiotropic single nucleotide variants (SNVs) and 126 shared causal variants. Among variants, 45 novel SNVs were associated with psychiatric disorders and 75 novel SNVs were associated with metabolic traits, shedding light on new targets to unravel the mechanism of comorbidity. Notably, RBM6, a gene involved in alternative splicing and cellular stress response regulation, emerged as a key pleiotropic gene. When psychiatric and metabolic genetic information were integrated, PRS models demonstrated enhanced predictive power. INTERPRETATION The study highlights the intertwined genetic and clinical relationships between psychiatric disorders and metabolic dysregulations, emphasising the need for integrated approaches in diagnosis and treatment. FUNDING The National Key Research and Development Program of China (2023YFC2506200, SHH). The National Natural Science Foundation of China (82273741, SY).
Collapse
Affiliation(s)
- Xiaonan Guo
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yu Feng
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne, Carlton South, VIC, Australia
| | - Xiaolong Ji
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ningning Jia
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Aierpati Maimaiti
- Department of Neurosurgery, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, China
| | - Jianbo Lai
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Zheng Wang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
| | - Sheng Yang
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Shaohua Hu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Nanhu Brain-Computer Interface Institute, Hangzhou, Zhejiang, China; Zhejiang Key Laboratory of Precision Psychiatry, Hangzhou, 310003, China; Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, 311121, China; Brain Research Institute of Zhejiang University, Hangzhou, 310058, China; MOE Frontier Science Center for Brain Science and Brain-Machine Integration, Zhejiang University School of Medicine, Hangzhou, 310058, China; Department of Psychology and Behavioral Sciences, Graduate School, Zhejiang University, Hangzhou, 310058, China.
| |
Collapse
|
2
|
Qi M, Tu J, He R, Fei X, Zhao Y. NEDD4L Suppresses Proliferation and Promotes Apoptosis by Ubiquitinating RAC2 Expression and Acts as a Prognostic Biomarker in Clear Cell Renal Cell Carcinoma. Int J Mol Sci 2024; 25:11933. [PMID: 39596003 PMCID: PMC11594477 DOI: 10.3390/ijms252211933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2024] [Revised: 11/01/2024] [Accepted: 11/04/2024] [Indexed: 11/28/2024] Open
Abstract
Neural precursor cell expressed developmentally down-regulated 4-like (NEDD4L) is an HECT (homologous to E6AP C terminus)-type E3 ubiquitin ligase. As previously documented, bioinformatics analysis revealed NEDD4L is downregulated in clear cell renal cell carcinoma (ccRCC). However, the target substrate regulated by NEDD4L in ccRCC remains unknown. Here, we assessed whether NEDD4L regulates Ras-related C3 botulinum toxin substrate 2 (RAC2) expression in ccRCC. In our study, integrated bioinformatics analysis indicated that low expression of NEDD4L and high expression of RAC2 were both associated with poor prognosis of ccRCC, pro-tumorigenic immunity, and multiple tumor-associated pathways. Our data confirmed the hypothesis indicated in the previous studies related to the downregulation of NEDD4L in ccRCC. NEDD4L was identified to target the RAC2 threonine 108-proline motif, and RAC2 overexpression rescued NEDD4L-mediated cell apoptosis and inhibition of cell growth and migration. Therefore, RAC2 is a novel and first identified target of NEDD4L in ccRCC, and the aberrant less expression of NEDD4L and consequent RAC2 upregulation may contribute to renal carcinogenesis. Our study offers insight into NEDD4L as a potential future therapeutic target for renal cell carcinoma or as a novel prognostic biomarker.
Collapse
Affiliation(s)
- Manlong Qi
- Department of Clinical Genetics, The Affiliated Shengjing Hospital, China Medical University, Shenyang 110004, China; (J.T.); (R.H.)
| | - Jianqiao Tu
- Department of Clinical Genetics, The Affiliated Shengjing Hospital, China Medical University, Shenyang 110004, China; (J.T.); (R.H.)
| | - Rong He
- Department of Clinical Genetics, The Affiliated Shengjing Hospital, China Medical University, Shenyang 110004, China; (J.T.); (R.H.)
| | - Xiang Fei
- Department of Urology, The Affiliated Shengjing Hospital, China Medical University, Shenyang 110004, China;
| | - Yanyan Zhao
- Department of Clinical Genetics, The Affiliated Shengjing Hospital, China Medical University, Shenyang 110004, China; (J.T.); (R.H.)
| |
Collapse
|
3
|
Lavudi K, Nuguri SM, Pandey P, Kokkanti RR, Wang QE. ALDH and cancer stem cells: Pathways, challenges, and future directions in targeted therapy. Life Sci 2024; 356:123033. [PMID: 39222837 DOI: 10.1016/j.lfs.2024.123033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 08/16/2024] [Accepted: 08/30/2024] [Indexed: 09/04/2024]
Abstract
Human ALDH comprise 19 subfamilies in which ALDH1A1, ALDH1A3, ALDH3A1, ALDH5A1, ALDH7A1, and ALDH18A1 are implicated in CSC. Studies have shown that ALDH can also be involved in drug resistance and standard chemotherapy regimens are ineffective in treating patients at the stage of disease recurrence. Existing chemotherapeutic drugs eliminate the bulk of tumors but are usually not effective against CSC which express ALDH+ population. Henceforth, targeting ALDH is convincing to treat the patient's post-relapse. Combination therapies that interlink signaling mechanisms seem promising to increase the overall disease-free survival rate. Therefore, targeting ALDH through ALDH inhibitors along with immunotherapies may create a novel platform for translational research. This review aims to fill in the gap between ALDH1 family members in relation to its cell signaling mechanisms, highlighting their potential as molecular targets to sensitize recurrent tumors and bring forward the future development concerning the current progress and draw backs. This review summarizes the role of cancer stem cells and their upregulation by maintaining the tumor microenvironment in which ALDH is specifically highlighted. It discusses the regulation of ALDH family proteins and the crosstalk between ALDH and CSC in relation to cancer metabolism. Furthermore, it establishes the correlation between ALDH involved signaling mechanisms and their specific targeted inhibitors, as well as their functional modularity, bioavailability, and mechanistic role in various cancers.
Collapse
Affiliation(s)
- Kousalya Lavudi
- Department of Radiation Oncology, College of Medicine, The Ohio State University, Columbus, OH 43210, United States; Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, United States
| | - Shreya Madhav Nuguri
- Department of Food science and Technology, The Ohio State University, Columbus, OH, United States
| | - Prashant Pandey
- Department of Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, Lucknow 226025, U.P., India; Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta T6G 2E1, Canada
| | | | - Qi-En Wang
- Department of Radiation Oncology, College of Medicine, The Ohio State University, Columbus, OH 43210, United States; Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, United States.
| |
Collapse
|
4
|
Dreier MR, Walia J, de la Serna IL. Targeting SWI/SNF Complexes in Cancer: Pharmacological Approaches and Implications. EPIGENOMES 2024; 8:7. [PMID: 38390898 PMCID: PMC10885108 DOI: 10.3390/epigenomes8010007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 01/28/2024] [Accepted: 01/31/2024] [Indexed: 02/24/2024] Open
Abstract
SWI/SNF enzymes are heterogeneous multi-subunit complexes that utilize the energy from ATP hydrolysis to remodel chromatin structure, facilitating transcription, DNA replication, and repair. In mammalian cells, distinct sub-complexes, including cBAF, ncBAF, and PBAF exhibit varying subunit compositions and have different genomic functions. Alterations in the SWI/SNF complex and sub-complex functions are a prominent feature in cancer, making them attractive targets for therapeutic intervention. Current strategies in cancer therapeutics involve the use of pharmacological agents designed to bind and disrupt the activity of SWI/SNF complexes or specific sub-complexes. Inhibitors targeting the catalytic subunits, SMARCA4/2, and small molecules binding SWI/SNF bromodomains are the primary approaches for suppressing SWI/SNF function. Proteolysis-targeting chimeras (PROTACs) were generated by the covalent linkage of the bromodomain or ATPase-binding ligand to an E3 ligase-binding moiety. This engineered connection promotes the degradation of specific SWI/SNF subunits, enhancing and extending the impact of this pharmacological intervention in some cases. Extensive preclinical studies have underscored the therapeutic potential of these drugs across diverse cancer types. Encouragingly, some of these agents have progressed from preclinical research to clinical trials, indicating a promising stride toward the development of effective cancer therapeutics targeting SWI/SNF complex and sub-complex functions.
Collapse
Affiliation(s)
- Megan R Dreier
- Department of Cell and Cancer Biology, University of Toledo College of Medicine and Life Sciences, 3000 Arlington Ave, Toledo 43614, OH, USA
| | - Jasmine Walia
- Department of Cell and Cancer Biology, University of Toledo College of Medicine and Life Sciences, 3000 Arlington Ave, Toledo 43614, OH, USA
| | - Ivana L de la Serna
- Department of Cell and Cancer Biology, University of Toledo College of Medicine and Life Sciences, 3000 Arlington Ave, Toledo 43614, OH, USA
| |
Collapse
|
5
|
Fultang N, Schwab AM, McAneny-Droz S, Grego A, Rodgers S, Torres BV, Heiser D, Scherle P, Bhagwat N. PBRM1 loss is associated with increased sensitivity to MCL1 and CDK9 inhibition in clear cell renal cancer. Front Oncol 2024; 14:1343004. [PMID: 38371625 PMCID: PMC10869502 DOI: 10.3389/fonc.2024.1343004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 01/19/2024] [Indexed: 02/20/2024] Open
Abstract
MCL1 is a member of the BCL2 family of apoptosis regulators, which play a critical role in promoting cancer survival and drug resistance. We previously described PRT1419, a potent, MCL1 inhibitor with anti-tumor efficacy in various solid and hematologic malignancies. To identify novel biomarkers that predict sensitivity to MCL1 inhibition, we conducted a gene essentiality analysis using gene dependency data generated from CRISPR/Cas9 cell viability screens. We observed that clear cell renal cancer (ccRCC) cell lines with damaging PBRM1 mutations displayed a strong dependency on MCL1. PBRM1 (BAF180), is a chromatin-targeting subunit of mammalian pBAF complexes. PBRM1 is frequently altered in various cancers particularly ccRCC with ~40% of tumors harboring damaging PBRM1 alterations. We observed potent inhibition of tumor growth and induction of apoptosis by PRT1419 in various preclinical models of PBRM1-mutant ccRCC but not PBRM1-WT. Depletion of PBRM1 in PBRM1-WT ccRCC cell lines induced sensitivity to PRT1419. Mechanistically, PBRM1 depletion coincided with increased expression of pro-apoptotic factors, priming cells for caspase-mediated apoptosis following MCL1 inhibition. Increased MCL1 activity has been described as a resistance mechanism to Sunitinib and Everolimus, two approved agents for ccRCC. PRT1419 synergized with both agents to potently inhibit tumor growth in PBRM1-loss ccRCC. PRT2527, a potent CDK9 inhibitor which depletes MCL1, was similarly efficacious in monotherapy and in combination with Sunitinib in PBRM1-loss cells. Taken together, these findings suggest PBRM1 loss is associated with MCL1i sensitivity in ccRCC and provide rationale for the evaluation of PRT1419 and PRT2527 for the treatment for PBRM1-deficient ccRCC.
Collapse
|
6
|
Zhou RW, Parsons RE. Etiology of super-enhancer reprogramming and activation in cancer. Epigenetics Chromatin 2023; 16:29. [PMID: 37415185 DOI: 10.1186/s13072-023-00502-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 06/10/2023] [Indexed: 07/08/2023] Open
Abstract
Super-enhancers are large, densely concentrated swaths of enhancers that regulate genes critical for cell identity. Tumorigenesis is accompanied by changes in the super-enhancer landscape. These aberrant super-enhancers commonly form to activate proto-oncogenes, or other genes upon which cancer cells depend, that initiate tumorigenesis, promote tumor proliferation, and increase the fitness of cancer cells to survive in the tumor microenvironment. These include well-recognized master regulators of proliferation in the setting of cancer, such as the transcription factor MYC which is under the control of numerous super-enhancers gained in cancer compared to normal tissues. This Review will cover the expanding cell-intrinsic and cell-extrinsic etiology of these super-enhancer changes in cancer, including somatic mutations, copy number variation, fusion events, extrachromosomal DNA, and 3D chromatin architecture, as well as those activated by inflammation, extra-cellular signaling, and the tumor microenvironment.
Collapse
Affiliation(s)
- Royce W Zhou
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Molecular Medicine Program, University of California San Francisco Internal Medicine Residency, San Francisco, CA, USA
| | - Ramon E Parsons
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| |
Collapse
|
7
|
Liu P, Luo J, Tan N, Li C, Xu J, Yang X. Establishing a prognostic model of chromatin modulators and identifying potential drug candidates in renal clear cell patients. BMC Bioinformatics 2023; 24:104. [PMID: 36941564 PMCID: PMC10029171 DOI: 10.1186/s12859-023-05229-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 03/14/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Renal carcinoma is a common malignant tumor of the urinary system. Advanced renal carcinoma has a low 5-year survival rate and a poor prognosis. More and more studies have confirmed that chromatin regulators (CRs) can regulate the occurrence and development of cancer. This article investigates the functional and prognostic value of CRs in renal carcinoma patients. METHODS mRNA expression and clinical information were obtained from The Cancer Genome Atlas database. Univariate Cox regression analysis and LASSO regression analysis were used to select prognostic chromatin-regulated genes and use them to construct a risk model for predicting the prognosis of renal cancer. Differences in prognosis between high-risk and low-risk groups were compared using Kaplan-Meier analysis. In addition, we analyzed the relationship between chromatin regulators and tumor immune infiltration, and explored differences in drug sensitivity between risk groups. RESULTS We constructed a model consisting of 11 CRs to predict the prognosis of renal cancer patients. We not only successfully validated its feasibility, but also found that the 11 CR-based model was an independent prognostic factor. Functional analysis showed that CRs were mainly enriched in cancer development-related signalling pathways. We also found through the TIMER database that CR-based models were also associated with immune cell infiltration and immune checkpoints. At the same time, the genomics of drug sensitivity in cancer database was used to analyze the commonly used drugs of renal clear cell carcinoma patients. It was found that patients in the low-risk group were sensitive to medicines such as axitinib, pazopanib, sorafenib, and gemcitabine. In contrast, those in the high-risk group may be sensitive to sunitinib. CONCLUSION The chromatin regulator-related prognostic model we constructed can be used to assess the prognostic risk of patients with clear cell renal cell carcinoma. The results of this study can bring new ideas for targeted therapy of clear cell renal carcinoma, helping doctors to take corresponding measures in advance for patients with different risks.
Collapse
Affiliation(s)
- Puyu Liu
- Department of Clinical Pathology, Affiliated Hospital of Zunyi Medical University, No.149 Dalian Road, Zunyi City, 563000, Guizhou Province, China
| | - Jihang Luo
- Department of Infectious Diseases, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Na Tan
- Department of Clinical Pathology, Affiliated Hospital of Zunyi Medical University, No.149 Dalian Road, Zunyi City, 563000, Guizhou Province, China
| | - Chengfang Li
- Department of Clinical Pathology, Affiliated Hospital of Zunyi Medical University, No.149 Dalian Road, Zunyi City, 563000, Guizhou Province, China
| | - Jieyu Xu
- Department of Clinical Pathology, Affiliated Hospital of Zunyi Medical University, No.149 Dalian Road, Zunyi City, 563000, Guizhou Province, China
| | - Xiaorong Yang
- Department of Clinical Pathology, Affiliated Hospital of Zunyi Medical University, No.149 Dalian Road, Zunyi City, 563000, Guizhou Province, China.
| |
Collapse
|
8
|
Wei Y, Li Y, Chen Y, Liu P, Huang S, Zhang Y, Sun Y, Wu Z, Hu M, Wu Q, Wu H, Liu F, She T, Ning Z. ALDH1: A potential therapeutic target for cancer stem cells in solid tumors. Front Oncol 2022; 12:1026278. [PMID: 36387165 PMCID: PMC9650078 DOI: 10.3389/fonc.2022.1026278] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 10/12/2022] [Indexed: 12/02/2022] Open
Abstract
Solid tumors can be divided into benign solid tumors and solid malignant tumors in the academic community, among which malignant solid tumors are called cancers. Cancer is the second leading cause of death in the world, and the global incidence of cancer is increasing yearly New cancer patients in China are always the first. After the concept of stem cells was introduced in the tumor community, the CSC markers represented by ALDH1 have been widely studied due to their strong CSC cell characteristics and potential to be the driving force of tumor metastasis. In the research results in the past five years, it has been found that ALDH1 is highly expressed in various solid cancers such as breast cancer, lung cancer, colorectal cancer, liver cancer, gastric cancer, cervical cancer, esophageal cancer, ovarian cancer, head,and neck cancer. ALDH1 can activate and transform various pathways (such as the USP28/MYC signaling pathway, ALDH1A1/HIF-1α/VEGF axis, wnt/β-catenin signaling pathway), as well as change the intracellular pH value to promote formation and maintenance, resulting in drug resistance in tumors. By targeting and inhibiting ALDH1 in tumor stem cells, it can enhance the sensitivity of drugs and inhibit the proliferation, differentiation, and metastasis of solid tumor stem cells to some extent. This review discusses the relationship and pathway of ALDH1 with various solid tumors. It proposes that ALDH1 may serve as a diagnosis and therapeutic target for CSC, providing new insights and new strategies for reliable tumor treatment.
Collapse
Affiliation(s)
- Yaolu Wei
- School of Basic Medicine Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Yan Li
- School of Basic Medicine Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Yenan Chen
- Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Pei Liu
- Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Sheng Huang
- Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Yuping Zhang
- School of Basic Medicine Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Yanling Sun
- School of Basic Medicine Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Zhe Wu
- School of Basic Medicine Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Meichun Hu
- School of Basic Medicine Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Qian Wu
- School of Basic Medicine Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Hongnian Wu
- School of Basic Medicine Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, China
| | - Fuxing Liu
- School of Basic Medicine Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, China
- *Correspondence: Fuxing Liu, ; Tonghui She, ; Zhifeng Ning,
| | - Tonghui She
- School of Basic Medicine Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, China
- *Correspondence: Fuxing Liu, ; Tonghui She, ; Zhifeng Ning,
| | - Zhifeng Ning
- School of Basic Medicine Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, China
- *Correspondence: Fuxing Liu, ; Tonghui She, ; Zhifeng Ning,
| |
Collapse
|