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Dong T, Yu C, Mao Q, Han F, Yang Z, Yang Z, Pires N, Wei X, Jing W, Lin Q, Hu F, Hu X, Zhao L, Jiang Z. Advances in biosensors for major depressive disorder diagnostic biomarkers. Biosens Bioelectron 2024; 258:116291. [PMID: 38735080 DOI: 10.1016/j.bios.2024.116291] [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: 12/13/2023] [Revised: 03/25/2024] [Accepted: 04/09/2024] [Indexed: 05/14/2024]
Abstract
Depression is one of the most common mental disorders and is mainly characterized by low mood or lack of interest and pleasure. It can be accompanied by varying degrees of cognitive and behavioral changes and may lead to suicide risk in severe cases. Due to the subjectivity of diagnostic methods and the complexity of patients' conditions, the diagnosis of major depressive disorder (MDD) has always been a difficult problem in psychiatry. With the discovery of more diagnostic biomarkers associated with MDD in recent years, especially emerging non-coding RNAs (ncRNAs), it is possible to quantify the condition of patients with mental illness based on biomarker levels. Point-of-care biosensors have emerged due to their advantages of convenient sampling, rapid detection, miniaturization, and portability. After summarizing the pathogenesis of MDD, representative biomarkers, including proteins, hormones, and RNAs, are discussed. Furthermore, we analyzed recent advances in biosensors for detecting various types of biomarkers of MDD, highlighting representative electrochemical sensors. Future trends in terms of new biomarkers, new sample processing methods, and new detection modalities are expected to provide a complete reference for psychiatrists and biomedical engineers.
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Affiliation(s)
- Tao Dong
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China; Chongqing Key Laboratory of Micro-Nano Transduction and Intelligent Systems, Collaborative Innovation Center on Micro-Nano Transduction and Intelligent Eco-Internet of Things, Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Nan'an District, Chongqing, 400067, China.
| | - Chenghui Yu
- Chongqing Key Laboratory of Micro-Nano Transduction and Intelligent Systems, Collaborative Innovation Center on Micro-Nano Transduction and Intelligent Eco-Internet of Things, Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Nan'an District, Chongqing, 400067, China.
| | - Qi Mao
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Feng Han
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Zhenwei Yang
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Zhaochu Yang
- Chongqing Key Laboratory of Micro-Nano Transduction and Intelligent Systems, Collaborative Innovation Center on Micro-Nano Transduction and Intelligent Eco-Internet of Things, Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Nan'an District, Chongqing, 400067, China
| | - Nuno Pires
- Chongqing Key Laboratory of Micro-Nano Transduction and Intelligent Systems, Collaborative Innovation Center on Micro-Nano Transduction and Intelligent Eco-Internet of Things, Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Nan'an District, Chongqing, 400067, China
| | - Xueyong Wei
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Weixuan Jing
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Qijing Lin
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Fei Hu
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Xiao Hu
- Engineering Research Center of Ministry of Education for Smart Justice, School of Criminal Investigation, Southwest University of Political Science and Law, Chongqing, 401120, China.
| | - Libo Zhao
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Zhuangde Jiang
- X Multidisciplinary Research Institute, School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
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Liang J, Cheng ZY, Shan F, Cao Y, Xia QR. Serum indoleamine 2, 3-dioxygenase and tryptophan-2, 3-dioxygenase: potential biomarkers for the diagnosis of major depressive disorder. Psychopharmacology (Berl) 2024; 241:1093-1099. [PMID: 38286858 DOI: 10.1007/s00213-024-06542-8] [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: 07/18/2023] [Accepted: 01/22/2024] [Indexed: 01/31/2024]
Abstract
OBJECTIVE The objective of this study was to observe the changes in the levels of indoleamine 2, 3-dioxygenase (IDO) and tryptophan-2, 3-dioxygenase (TDO) in patients with major depressive disorder (MDD) and investigate their potential role as novel biomarkers for diagnosing MDD. METHODS A total of 55 MDD patients and 55 healthy controls (HC) were enrolled in the study. The severity of MDD was assessed using the 24-item Hamilton Depression Rating Scale (HAMD-24) before and after treatment. The serum concentrations of IDO and TDO were measured at baseline and after treatment. The correlations between the serum levels of IDO and TDO and HAMD-24 scores were evaluated using Pearson's correlation test. Receiver operating characteristic (ROC) curve analysis was used to evaluate the area under the curve (AUC) of serum levels of IDO and TDO for discriminating MDD patients from HC. RESULTS The serum IDO and TDO concentrations were significantly higher in patients with MDD at baseline than in healthy controls, and decreased significantly after 2 weeks or 1 month of treatment. The levels of IDO and TDO were significantly positively correlated with HAMD-24 scores. Furthermore, the AUC values for IDO and TDO were 0.999 and 0.966, respectively. CONCLUSION The study suggests that serum IDO and TDO may serve as novel biomarkers for diagnosing MDD. These findings may lead to a better understanding of the pathogenesis of MDD and the development of new therapeutic targets.
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Affiliation(s)
- Jun Liang
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China
- Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Zhuo-Yu Cheng
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China
- Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Feng Shan
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China
- Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Yin Cao
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China
- Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Qing-Rong Xia
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China.
- Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China.
- Anhui Clinical Research Center for Mental Disorders, Hefei, China.
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Zabielska P, Szkup M, Kotwas A, Skonieczna-Żydecka K, Karakiewicz B. Association between symptoms of depression and inflammatory parameters in people aged over 90 years. BMC Geriatr 2024; 24:317. [PMID: 38575920 PMCID: PMC10996151 DOI: 10.1186/s12877-024-04895-5] [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: 12/22/2023] [Accepted: 03/14/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Old age is a period of life that presents many health and social challenges, resulting in a greater vulnerability to the development of mental disorders, including depression. There has been a growing interest in the relationship between depression and inflammatory factors, because of its potential clinical and therapeutic implications. Inflammatory processes, which were originally understood as a response to infection and trauma, appear to play an important role in the pathogenesis of depression in the elderly. The aim of the study was to analyse the relationship between the severity of depressive disorders and inflammatory parameters in people over 90 years of age. METHODS The study was conducted in Poland in 2017. The study population consisted of long-lived individuals, both living at home and staying in residential care homes. The participants were 90 people of both sexes (69 women and 21 men), aged between 90 and 103 years (mean = 92.36; SD = 2.98). The study was conducted using the diagnostic survey method with a questionnaire technique. The Geriatric Depression Scale (GDS) was used to carry out the analysis. The levels of selected inflammatory factors were determined using relevant laboratory tests. RESULTS In the study group, the highest percentage of people had symptoms of moderate depression (n = 36;40%), followed by those without depression (n = 35;38.9%). There was a weak negative correlation between GDS scores and fibrinogen levels (p ≤ 0.05). The logistic regression model showed no significant relationship between inflammatory parameters and the development of depressive disorders. CONCLUSIONS Inflammatory parameters do not appear to predict the development of depressive disorders in people over 90 years of age.
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Affiliation(s)
- Paulina Zabielska
- Subdepartment of Social Medicine and Public Health, Department of Social Medicine, Pomeranian Medical University in Szczecin, Żołnierska 48, 71-210, Szczecin, Poland
| | - Małgorzata Szkup
- Department of Social Nursing, Pomeranian Medical University in Szczecin, Żołnierska 48, 71-210, Szczecin, Poland.
| | - Artur Kotwas
- Independent Research and Biostatistics Laboratory, Department of Social Medicine, Pomeranian Medical University in Szczecin, Żołnierska 48, 71-210, Szczecin, Poland
| | - Karolina Skonieczna-Żydecka
- Department of Biochemical Research, Pomeranian Medical University in Szczecin, Broniewskiego 24, 71-460, Szczecin, Poland
| | - Beata Karakiewicz
- Subdepartment of Social Medicine and Public Health, Department of Social Medicine, Pomeranian Medical University in Szczecin, Żołnierska 48, 71-210, Szczecin, Poland
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Mancuso E, Sampogna G, Boiano A, Della Rocca B, Di Vincenzo M, Lapadula MV, Martinelli F, Lucci F, Luciano M. Biological correlates of treatment resistant depression: a review of peripheral biomarkers. Front Psychiatry 2023; 14:1291176. [PMID: 37941970 PMCID: PMC10628469 DOI: 10.3389/fpsyt.2023.1291176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 09/29/2023] [Indexed: 11/10/2023] Open
Abstract
Introduction Many patients fail to respond to multiple antidepressant interventions, being defined as "treatment-resistant depression" (TRD) patients. TRD is usually associated with increased severity and chronicity of symptoms, increased risk of comorbidity, and higher suicide rates, which make the clinical management challenging. Efforts to distinguish between TRD patients and those who will respond to treatment have been unfruitful so far. Several studies have tried to identify the biological, psychopathological, and psychosocial correlates of depression, with particular attention to the inflammatory system. In this paper we aim to review available studies assessing the full range of biomarkers in TRD patients in order to reshape TRD definition and improve its diagnosis, treatment, and prognosis. Methods We searched the most relevant medical databases and included studies reporting original data on possible biomarkers of TRD. The keywords "treatment resistant depression" or "TRD" matched with "biomarker," "inflammation," "hormone," "cytokine" or "biological marker" were entered in PubMed, ISI Web of Knowledge and SCOPUS databases. Articles were included if they included a comparison with healthy controls (HC). Results Of the 1878 papers identified, 35 were included in the present study. Higher plasma levels of IL-6 and TNF-α were detected in TRD patients compared to HC. While only a few studies on cortisol have been found, four papers showed elevated levels of C-reactive protein among these patients and four articles focused on immunological cells. Altered kynurenine metabolism in TRD patients was reported in two studies, while contrasting results were found with regard to BDNF. Conclusion Only a few biological alterations correlate with TRD. TNF-α seems to be the most relevant biomarker to discriminate TRD patients from both HC and treatment-responsive MDD patients. Moreover, several discrepancies among studies have been found, due to methodological differences and the lack of a standardized diagnostic definition of TRD.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Mario Luciano
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Caserta, Italy
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Dadkhah M, Jafarzadehgharehziaaddin M, Molaei S, Akbari M, Gholizadeh N, Fathi F. Major depressive disorder: biomarkers and biosensors. Clin Chim Acta 2023:117437. [PMID: 37315724 DOI: 10.1016/j.cca.2023.117437] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 06/01/2023] [Accepted: 06/07/2023] [Indexed: 06/16/2023]
Abstract
Depressive disorders belong to highly heterogeneous psychiatric diseases. Loss of in interest in previously enjoyed activities and a depressed mood are the main characteristics of major depressive disorder (MDD). Moreover, due to significant heterogeneity in clinical presentation and lack of applicable biomarkers, diagnosis and treatment remains challenging. Identification of relevant biomarkers would allow for improved disease classification and more personalized treatment strategies. Herein, we review the current state of these biomarkers and then discuss diagnostic techniques of aimed to specifically target these analytes using state of the art biosensor technology.
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Affiliation(s)
- Masoomeh Dadkhah
- Pharmaceutical Sciences Research Center, Ardabil University of Medical Sciences, Ardabil, Iran
| | | | - Soheila Molaei
- Zoonoses Research Center, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Morteza Akbari
- Immunology Research Center (IRC), Tabriz University of Medical Sciences, Tabriz, Iran
| | - Neghin Gholizadeh
- Students Research Committee, Health School, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Farzaneh Fathi
- Pharmaceutical Sciences Research Center, Ardabil University of Medical Sciences, Ardabil, Iran; Biosensor Sciences and Technologies Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
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Xia CY, Guo YX, Lian WW, Yan Y, Ma BZ, Cheng YC, Xu JK, He J, Zhang WK. The NLRP3 inflammasome in depression: Potential mechanisms and therapies. Pharmacol Res 2023; 187:106625. [PMID: 36563870 DOI: 10.1016/j.phrs.2022.106625] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/20/2022] [Accepted: 12/18/2022] [Indexed: 12/25/2022]
Abstract
Increasing evidence suggests that the failure of clinical antidepressants may be related with neuroinflammation. The NOD-, LRR- and pyrin domain-containing protein 3 (NLRP3) inflammasome is an intracellular multiprotein complex, and has been considered as a key contributor to the development of neuroinflammation. Inhibition of NLRP3 inflammasome is an effective method for depression treatment. In this review, we summarized current researches highlighting the role of NLRP3 inflammasome in the pathology of depression. Firstly, we discussed NLRP3 inflammasome activation in patients with depression and animal models. Secondly, we outlined the possible mechanisms driving the activation of NLRP3 inflammasome. Thirdly, we discussed the pathogenetic role of NLRP3 inflammasome in depression. Finally, we overviewed the current and potential antidepressants targeting the NLRP3 inflammasome. Overall, the inhibition of NLRP3 inflammasome activation may be a potential therapeutic strategy for inflammation-related depression.
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Affiliation(s)
- Cong-Yuan Xia
- Department of Pharmacy & Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing 100029, PR China
| | - Yu-Xuan Guo
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029, PR China
| | - Wen-Wen Lian
- Department of Pharmacy & Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing 100029, PR China
| | - Yu Yan
- Department of Pharmacy & Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing 100029, PR China
| | - Bing-Zhi Ma
- Department of Pharmacy & Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing 100029, PR China
| | - Yung-Chi Cheng
- School of Medicine, Yale University, New Haven, CT, United States
| | - Jie-Kun Xu
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing 100029, PR China.
| | - Jun He
- Department of Pharmacy & Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing 100029, PR China.
| | - Wei-Ku Zhang
- Department of Pharmacy & Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing 100029, PR China.
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Changes in T-Cell Subpopulations and Cytokine Levels in Patients with Treatment-Resistant Depression-A Preliminary Study. Int J Mol Sci 2022; 24:ijms24010479. [PMID: 36613927 PMCID: PMC9820349 DOI: 10.3390/ijms24010479] [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: 11/27/2022] [Revised: 12/21/2022] [Accepted: 12/24/2022] [Indexed: 12/29/2022] Open
Abstract
Although there is some evidence for the involvement of cytokines and T cells in the pathophysiology of treatment-resistant depression (TRD), the nature of this relationship is not entirely clear. Therefore, we compared T-cell subpopulations and serum cytokine levels in TRD patients to find relationships between their immunological profiles, clinical presentation, and episode severity. Blood samples from TRD patients (n = 20) and healthy people (n = 13) were collected and analyzed by flow cytometry. We analyzed the percentages of helper and cytotoxic T cells according to the expression of selected activation markers, including CD28, CD69, CD25, CD95, and HLA-DR. The serum levels of inflammatory cytokines IL12p70, TNF-α, IL-10, IL-6, IL-1β, and IL-8 were also determined. TRD patients had a lower percentage of CD3+CD4+CD25+ and CD3+CD8+CD95+ cells than healthy people. They also had lower serum levels of IL-12p70 and TNF-α, whereas IL-8 levels were significantly higher. Receiver operating characteristic (ROC) analysis demonstrated that serum IL-8 values above 19.55 pg/mL were associated with a 10.26 likelihood ratio of developing TRD. No connections were found between the MADRS score and immunological parameters. These results show that TRD patients have reduced percentages of T cells expressing activation antigens (CD25 and CD95) and higher serum concentrations of proinflammatory and chemotactic IL-8. These changes may indicate reduced activity of the immune system and the important role of IL-8 in maintaining chronic inflammation in the course of depression.
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