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Lalonde R, Strazielle C. Neurochemical Anatomy of Cushing's Syndrome. Neurochem Res 2024; 49:1945-1964. [PMID: 38833089 DOI: 10.1007/s11064-024-04172-2] [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: 11/17/2023] [Revised: 03/05/2024] [Accepted: 05/22/2024] [Indexed: 06/06/2024]
Abstract
The neurochemical anatomy underlying Cushing's syndrome is examined for regional brain metabolism as well as neurotransmitter levels and receptor binding of biogenic amines and amino acids. Preliminary studies generally indicate that glucose uptake, blood flow, and activation on fMRI scans decreased in neocortical areas and increased in subcortical areas of patients with Cushing's syndrome or disease. Glucocorticoid-mediated increases in hippocampal metabolism occurred despite in vitro evidence of glucocorticoid-induced decreases in glucose uptake or consumption, indicating that in vivo increases are the result of indirect, compensatory, or preliminary responses. In animal studies, glucocorticoid administration decreased 5HT levels and 5HT1A receptor binding in several brain regions while adrenalectomy increased such binding. Region-specific effects were also obtained in regard to the dopaminergic system, with predominant actions of glucocorticoid-induced potentiation of reuptake blockers and releasing agents. More in-depth neuroanatomical analyses are warranted of these and amino acid-related neurotransmission.
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Affiliation(s)
- Robert Lalonde
- Laboratory of Stress, Immunity, Pathogens (UR SIMPA), University of Lorraine, Campus Santé, Bât A/B 9, avenue de la Forêt de Haye, Vandoeuvre-les-Nancy, 54500, France.
| | - Catherine Strazielle
- Laboratory of Stress, Immunity, Pathogens (UR SIMPA), University of Lorraine, Campus Santé, Bât A/B 9, avenue de la Forêt de Haye, Vandoeuvre-les-Nancy, 54500, France
- CHRU Nancy, Vandoeuvre-les-Nancy, France
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2
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Xu CX, Kong L, Jiang H, Jiang Y, Sun YH, Bian LG, Feng Y, Sun QF. Analysis of brain structural covariance network in Cushing disease. Heliyon 2024; 10:e28957. [PMID: 38601682 PMCID: PMC11004566 DOI: 10.1016/j.heliyon.2024.e28957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 03/27/2024] [Accepted: 03/27/2024] [Indexed: 04/12/2024] Open
Abstract
Background Cushing disease (CD) is a rare clinical neuroendocrine disease. CD is characterized by abnormal hypercortisolism induced by a pituitary adenoma with the secretion of adrenocorticotropic hormone. Individuals with CD usually exhibit atrophy of gray matter volume. However, little is known about the alterations in topographical organization of individuals with CD. This study aimed to investigate the structural covariance networks of individuals with CD based on the gray matter volume using graph theory analysis. Methods High-resolution T1-weighted images of 61 individuals with CD and 53 healthy controls were obtained. Gray matter volume was estimated and the structural covariance network was analyzed using graph theory. Network properties such as hubs of all participants were calculated based on degree centrality. Results No significant differences were observed between individuals with CD and healthy controls in terms of age, gender, and education level. The small-world features were conserved in individuals with CD but were higher than those in healthy controls. The individuals with CD showed higher global efficiency and modularity, suggesting higher integration and segregation as compared to healthy controls. The hub nodes of the individuals with CD were Short insular gyri (G_insular_short_L), Anterior part of the cingulate gyrus and sulcus (G_and_S_cingul-Ant_R), and Superior frontal gyrus (G_front_sup_R). Conclusions Significant differences in the structural covariance network of patients with CD were found based on graph theory. These findings might help understanding the pathogenesis of individuals with CD and provide insight into the pathogenesis of this CD.
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Affiliation(s)
- Can-Xin Xu
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Linghan Kong
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
- Department of Radiology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Jiang
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yue Jiang
- Department of Neurosurgery, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, 453100, China
| | - Yu-Hao Sun
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Liu-Guan Bian
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yuan Feng
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
- Department of Radiology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai, China
| | - Qing-Fang Sun
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
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Cheng H, Gao L, Jing R, Hou B, Guo X, Yao Y, Feng M, Xing B, Feng F, Fan Y. Reversibility of Impaired Large-Scale Functional Brain Networks in Cushing's Disease after Surgery Treatment: A Longitudinal Study. Neuroendocrinology 2023; 114:250-262. [PMID: 37913760 PMCID: PMC10911171 DOI: 10.1159/000534789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 10/13/2023] [Indexed: 11/03/2023]
Abstract
INTRODUCTION Chronic exposure to excessive endogenous cortisol leads to brain changes in Cushing's disease (CD). However, it remains unclear how CD affects large-scale functional networks (FNs) and whether these effects are reversible after treatment. This study aimed to investigate functional network changes of CD patients and their reversibility in a longitudinal cohort. METHODS Active CD patients (N = 37) were treated by transsphenoidal pituitary surgery and reexamined 3 months later. FNs were computed from resting-state fMRI data of the CD patients and matched normal controls (NCs, N = 37). A pattern classifier was built on the FNs to distinguish active CD patients from controls and applied to FNs of the CD patients at the 3-month follow-up. Two subgroups of endocrine-remitted CD patients were identified according to their classification scores, referred to as image-based phenotypically (IBP) recovered and unrecovered CD patients, respectively. The informative FNs identified by the classification model were compared between NCs, active CD patients, and endocrine-remitted patients as well as between IBP recovered and unrecovered CD patients to explore their functional network reversibility. RESULTS All 37 CD patients reached endocrine remission after treatment. The classification model identified three informative FNs, including cerebellar network (CerebN), fronto-parietal network (FPN), and default mode network. Among them, CerebN and FPN partially recovered toward normal at 3 months after treatment. Moreover, the informative FNs were correlated with 24-h urinary-free cortisol and emotion scales in CD patients. CONCLUSION These findings suggest that CD patients have aberrant FNs that are partially reversible toward normal after treatment.
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Affiliation(s)
- Hewei Cheng
- Research Center of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, PR China
- Chongqing Engineering Laboratory of Digital Medical Equipment and Systems, Chongqing University of Posts and Telecommunications, Chongqing, PR China
- Chongqing Engineering Research Center of Medical Electronics and Information Technology, Chongqing University of Posts and Telecommunications, Chongqing, PR China
| | - Lu Gao
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
- China Pituitary Disease Registry Center, China Pituitary Adenoma Specialist Council, Beijing, PR China
- Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Rixing Jing
- School of Instrument Science and Opto-Electronic Engineering, Beijing Information Science and Technology University, Beijing, PR China
| | - Bo Hou
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Xiaopeng Guo
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
- China Pituitary Disease Registry Center, China Pituitary Adenoma Specialist Council, Beijing, PR China
| | - Yong Yao
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
- China Pituitary Disease Registry Center, China Pituitary Adenoma Specialist Council, Beijing, PR China
| | - Ming Feng
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
- China Pituitary Disease Registry Center, China Pituitary Adenoma Specialist Council, Beijing, PR China
| | - Bing Xing
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
- China Pituitary Disease Registry Center, China Pituitary Adenoma Specialist Council, Beijing, PR China
| | - Feng Feng
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Yong Fan
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Chiappelli J, Adhikari BM, Kvarta MD, Bruce HA, Goldwaser EL, Ma Y, Chen S, Ament S, Shuldiner AR, Mitchell BD, Kochunov P, Wang DJJ, Hong LE. Depression, stress and regional cerebral blood flow. J Cereb Blood Flow Metab 2023; 43:791-800. [PMID: 36606600 PMCID: PMC10108192 DOI: 10.1177/0271678x221148979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 11/23/2022] [Accepted: 11/29/2022] [Indexed: 01/07/2023]
Abstract
Decreased cerebral blood flow (CBF) may be an important mechanism associated with depression. In this study we aimed to determine if the association of CBF and depression is dependent on current level of depression or the tendency to experience depression over time (trait depression), and if CBF is influenced by depression-related factors such as stressful life experiences and antidepressant medication use. CBF was measured in 254 participants from the Amish Connectome Project (age 18-76, 99 men and 154 women) using arterial spin labeling. All participants underwent assessment of symptoms of depression measured with the Beck Depression Inventory and Maryland Trait and State Depression scales. Individuals diagnosed with a unipolar depressive disorder had significantly lower average gray matter CBF compared to individuals with no history of depression or to individuals with a history of depression that was in remission at time of study. Trait depression was significantly associated with lower CBF, with the associations strongest in cingulate gyrus and frontal white matter. Use of antidepressant medication and more stressful life experiences were also associated with significantly lower CBF. Resting CBF in specific brain regions is associated with trait depression, experience of stressful life events, and current antidepressant use, and may provide a valuable biomarker for further studies.
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Affiliation(s)
- Joshua Chiappelli
- Maryland Psychiatric Research
Center, Department of Psychiatry, University of Maryland School of Medicine,
Baltimore, MD, USA
| | - Bhim M Adhikari
- Maryland Psychiatric Research
Center, Department of Psychiatry, University of Maryland School of Medicine,
Baltimore, MD, USA
| | - Mark D Kvarta
- Maryland Psychiatric Research
Center, Department of Psychiatry, University of Maryland School of Medicine,
Baltimore, MD, USA
| | - Heather A Bruce
- Maryland Psychiatric Research
Center, Department of Psychiatry, University of Maryland School of Medicine,
Baltimore, MD, USA
| | - Eric L Goldwaser
- Maryland Psychiatric Research
Center, Department of Psychiatry, University of Maryland School of Medicine,
Baltimore, MD, USA
| | - Yizhou Ma
- Maryland Psychiatric Research
Center, Department of Psychiatry, University of Maryland School of Medicine,
Baltimore, MD, USA
| | - Shuo Chen
- Maryland Psychiatric Research
Center, Department of Psychiatry, University of Maryland School of Medicine,
Baltimore, MD, USA
| | - Seth Ament
- Maryland Psychiatric Research
Center, Department of Psychiatry, University of Maryland School of Medicine,
Baltimore, MD, USA
| | - Alan R Shuldiner
- Department of Medicine, University
of Maryland School of Medicine, Baltimore, MD, USA
| | - Braxton D Mitchell
- Department of Medicine, University
of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education
Clinical Center, Baltimore Veterans Administration, Baltimore, MD, USA
| | - Peter Kochunov
- Maryland Psychiatric Research
Center, Department of Psychiatry, University of Maryland School of Medicine,
Baltimore, MD, USA
| | - Danny JJ Wang
- Laboratory of Functional MRI
Technology, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck
School of Medicine, University of Southern California, Los Angeles, CA,
USA
| | - L Elliot Hong
- Maryland Psychiatric Research
Center, Department of Psychiatry, University of Maryland School of Medicine,
Baltimore, MD, USA
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Terayama R, Ishikawa T, Ishiwata K, Sato A, Minamizuka T, Ohno T, Kono S, Yamamoto M, Yokoh H, Nagano H, Koshizaka M, Suzuki S, Koide H, Maezawa Y, Yokote K. Correction of Hypercortisolemia with an Improved Cognitive Function and Muscle Mass after Transsphenoidal Surgery in an Older Patient with Cushing's Disease. Intern Med 2022; 61:3391-3399. [PMID: 35491128 PMCID: PMC9751722 DOI: 10.2169/internalmedicine.8326-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Cushing's disease causes numerous metabolic disorders, cognitive decline, and sarcopenia, leading to deterioration of the general health in older individuals. Cushing's disease can be treated with transsphenoidal surgery, but thus far, surgery has often been avoided in older patients. We herein report an older woman with Cushing's disease whose cognitive impairment and sarcopenia improved after transsphenoidal surgery. Although cognitive impairment and sarcopenia in most older patients show resistance to treatment, our case indicates that normalization of the cortisol level by transsphenoidal surgery can be effective in improving the cognitive impairment and muscle mass loss caused by Cushing's disease.
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Affiliation(s)
- Ryo Terayama
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Japan
| | - Takahiro Ishikawa
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Japan
- Department of General Medical Science, Chiba University Graduate School of Medicine, Japan
- Geriatric Medical Center, Chiba University Hospital, Japan
| | - Kazuki Ishiwata
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Japan
| | - Ai Sato
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Japan
| | - Takuya Minamizuka
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Japan
| | - Tomohiro Ohno
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Japan
| | - Satomi Kono
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Japan
| | - Masashi Yamamoto
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Japan
| | - Hidetaka Yokoh
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Japan
| | - Hidekazu Nagano
- Department of Molecular Diagnosis, Graduate School of Medicine, Chiba University, Japan
| | - Masaya Koshizaka
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Japan
| | - Sawako Suzuki
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Japan
| | - Hisashi Koide
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Japan
| | - Yoshiro Maezawa
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Japan
| | - Koutaro Yokote
- Department of Endocrinology, Hematology, and Gerontology, Chiba University Graduate School of Medicine, Japan
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Zhang Y, Zhou T, Feng S, Wang W, Liu H, Wang P, Sha Z, Yu X. The chronic effect of cortisol on orchestrating cerebral blood flow and brain functional connectivity: evidence from Cushing's disease. Metabolism 2021; 115:154432. [PMID: 33197455 DOI: 10.1016/j.metabol.2020.154432] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 11/09/2020] [Accepted: 11/11/2020] [Indexed: 02/02/2023]
Abstract
BACKGROUND Cortisol has long been considered to play a crucial role in the pathogenesis of stress-related disorders. Cushing's disease (CD) provides an excellent "hyperexpression model" to investigate the chronic effects of cortisol on brain physiology and cognition. Previous studies have shown that cortisol is associated with neurophysiological alterations in animal models, which has also been examined by neural activity and cerebral blood flow (CBF) in human studies. However, the manner in which cortisol affects the coupling between brain activity and metabolic demand remains largely unknown. METHODS Here we used functional magnetic resonance imaging and arterial-spin-labeling imaging to investigate neurophysiological coupling by examining the ratio of CBF and functional connectivity strength (FCS) in 100 participants (47 CD patients and 53 healthy controls). RESULTS The results showed that CD was associated with lower CBF-FCS coupling predominantly in regions involving cognitive processing, such as the left dorsolateral prefrontal cortex and precuneus, as well as greater CBF-FCS coupling in subcortical structures, including the bilateral thalamus, right putamen, and hippocampus (P < 0.05, false discovery rate corrected). Moreover, regions with disrupted CBF-FCS coupling were associated with cortisol dosage and cognitive decline in CD patients. CONCLUSIONS Together, these findings elucidate the effect of cortisol excess on cerebral microenvironment regulation and associated cognitive disturbances in the human brain.
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Affiliation(s)
- Yanyang Zhang
- Department of Neurosurgery, The First Medical Center of Chinese PLA General Hospital, Beijing, PR China
| | - Tao Zhou
- Department of Neurosurgery, The First Medical Center of Chinese PLA General Hospital, Beijing, PR China
| | - Shiyu Feng
- Department of Neurosurgery, The First Medical Center of Chinese PLA General Hospital, Beijing, PR China
| | - Wenxin Wang
- Department of Radiology, The First Medical Center of Chinese PLA General Hospital, Beijing, PR China
| | - Hailong Liu
- Department of Neurosurgery, The First Medical Center of Chinese PLA General Hospital, Beijing, PR China
| | - Peng Wang
- Department of Neurosurgery, The First Medical Center of Chinese PLA General Hospital, Beijing, PR China
| | - Zhiqiang Sha
- Department of Psychiatry, Western Psychiatric Institute and Clinic, , University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Xinguang Yu
- Department of Neurosurgery, The First Medical Center of Chinese PLA General Hospital, Beijing, PR China.
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Gao L, Liu L, Shi L, Luo Y, Wang Z, Guo X, Xing B. Dynamic changes of views on the brain changes of Cushing's syndrome using different computer-assisted tool. Rev Endocr Metab Disord 2020; 21:185-200. [PMID: 31974674 DOI: 10.1007/s11154-020-09540-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Cushing's syndrome (CS) provides a unique model for assessing the neurotoxic effect of chronic hypercortisolism on human brains. With the ongoing development of different computer-assisted tools, four research stages emerged, each with its own pearls and pitfalls. This review summarizes current knowledge and describes the dynamic changes of views on the brain changes of CS, especially in the current era of the rapid development of artificial intelligence and big data. The adverse effects of GC on brain are proven to be on structural, functional and cellular levels at the same time.
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Affiliation(s)
- Lu Gao
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, China.
- China Pituitary Disease Registry Center, Chinese Pituitary Adenoma Cooperative Group, Beijing, China.
| | - Lu Liu
- Department of Senior Officials Health Care, China-Japan Friendship Hospital, Beijing, China
| | - Lin Shi
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
- BrainNow Research Institute, Shenzhen, China
| | - Yishan Luo
- BrainNow Research Institute, Shenzhen, China
| | - Zihao Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- China Pituitary Disease Registry Center, Chinese Pituitary Adenoma Cooperative Group, Beijing, China
| | - Xiaopeng Guo
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- China Pituitary Disease Registry Center, Chinese Pituitary Adenoma Cooperative Group, Beijing, China
| | - Bing Xing
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing, Dongcheng District, Beijing, 100730, China.
- China Pituitary Disease Registry Center, Chinese Pituitary Adenoma Cooperative Group, Beijing, China.
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