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Oner M, Chen MC, Cheng PT, Li YH, Cheng YC, Celik A, Soong SW, Hsu LW, Lin DY, Hossain Prince GMS, Dhar T, Cheng HC, Tang PC, Lin H. Impact of metformin on neocortical development during pregnancy: Involvement of ERK and p35/CDK5 pathways. CHEMOSPHERE 2024; 358:142124. [PMID: 38677614 DOI: 10.1016/j.chemosphere.2024.142124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 04/18/2024] [Accepted: 04/21/2024] [Indexed: 04/29/2024]
Abstract
Metformin, the most commonly prescribed drug for the treatment of diabetes, is increasingly used during pregnancy to address various disorders such as diabetes, obesity, preeclampsia, and metabolic diseases. However, its impact on neocortex development remains unclear. Here, we investigated the direct effects of metformin on neocortex development, focusing on ERK and p35/CDK5 regulation. Using a pregnant rat model, we found that metformin treatment during pregnancy induces small for gestational age (SGA) and reduces relative cortical thickness in embryos and neonates. Additionally, we discovered that metformin inhibits neural progenitor cell proliferation in the sub-ventricular zone (SVZ)/ventricular zone (VZ) of the developing neocortex, a process possibly mediated by ERK inactivation. Furthermore, metformin induces neuronal apoptosis in the SVZ/VZ area of the developing neocortex. Moreover, metformin retards neuronal migration, cortical lamination, and differentiation, potentially through p35/CDK5 inhibition in the developing neocortex. Remarkably, compensating for p35 through in utero electroporation partially rescues metformin-impaired neuronal migration and development. In summary, our study reveals that metformin disrupts neocortex development by inhibiting neuronal progenitor proliferation, neuronal migration, cortical layering, and cortical neuron maturation, likely via ERK and p35/CDK5 inhibition. Consequently, our findings advocate for caution in metformin usage during pregnancy, given its potential adverse effects on fetal brain development.
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Affiliation(s)
- Muhammet Oner
- Department of Life Sciences, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Mei-Chih Chen
- Translational Cell Therapy Center, Department of Medical Research, China Medical University Hospital, Taichung, 40447, Taiwan
| | - Pang-Ting Cheng
- Department of Life Sciences, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Yu-Hsuan Li
- Translational Cell Therapy Center, Department of Medical Research, China Medical University Hospital, Taichung, 40447, Taiwan
| | - Yu-Chiao Cheng
- Department of Life Sciences, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Ayse Celik
- Department of Life Sciences, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Shiuan-Woei Soong
- Department of Life Sciences, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Li-Wen Hsu
- Department of Life Sciences, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Din-You Lin
- Department of Life Sciences, National Chung Hsing University, Taichung, 40227, Taiwan
| | | | - Trayee Dhar
- Department of Life Sciences, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Hsu-Chen Cheng
- Department of Life Sciences, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Pin-Chi Tang
- Department of Animal Science, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Ho Lin
- Department of Life Sciences, National Chung Hsing University, Taichung, 40227, Taiwan.
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Lockwood TD. Coordination chemistry suggests that independently observed benefits of metformin and Zn 2+ against COVID-19 are not independent. Biometals 2024:10.1007/s10534-024-00590-5. [PMID: 38578560 DOI: 10.1007/s10534-024-00590-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 02/12/2024] [Indexed: 04/06/2024]
Abstract
Independent trials indicate that either oral Zn2+ or metformin can separately improve COVID-19 outcomes by approximately 40%. Coordination chemistry predicts a mechanistic relationship and therapeutic synergy. Zn2+ deficit is a known risk factor for both COVID-19 and non-infectious inflammation. Most dietary Zn2+ is not absorbed. Metformin is a naked ligand that presumably increases intestinal Zn2+ bioavailability and active absorption by cation transporters known to transport metformin. Intracellular Zn2+ provides a natural buffer of many protease reactions; the variable "set point" is determined by Zn2+ regulation or availability. A Zn2+-interactive protease network is suggested here. The two viral cysteine proteases are therapeutic targets against COVID-19. Viral and many host proteases are submaximally inhibited by exchangeable cell Zn2+. Inhibition of cysteine proteases can improve COVID-19 outcomes and non-infectious inflammation. Metformin reportedly enhances the natural moderating effect of Zn2+ on bioassayed proteome degradation. Firstly, the dissociable metformin-Zn2+ complex could be actively transported by intestinal cation transporters; thereby creating artificial pathways of absorption and increased body Zn2+ content. Secondly, metformin Zn2+ coordination can create a non-natural protease inhibitor independent of cell Zn2+ content. Moderation of peptidolytic reactions by either or both mechanisms could slow (a) viral multiplication (b) viral invasion and (c) the pathogenic host inflammatory response. These combined actions could allow development of acquired immunity to clear the infection before life-threatening inflammation. Nirmatrelvir (Paxlovid®) opposes COVID-19 by selective inhibition the viral main protease by a Zn2+-independent mechanism. Pending safety evaluation, predictable synergistic benefits of metformin and Zn2+, and perhaps metformin/Zn2+/Paxlovid® co-administration should be investigated.
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Affiliation(s)
- Thomas D Lockwood
- Department Pharmacology and Toxicology, School of Medicine, Wright State University, Dayton, OH, 45435, USA.
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Bahramzadeh A, Samavarchi Tehrani S, Goodarzi G, Seyyedebrahimi S, Meshkani R. Combination therapy of metformin and morin attenuates insulin resistance, inflammation, and oxidative stress in skeletal muscle of high-fat diet-fed mice. Phytother Res 2024; 38:912-924. [PMID: 38091524 DOI: 10.1002/ptr.8086] [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: 06/21/2023] [Revised: 10/25/2023] [Accepted: 11/26/2023] [Indexed: 02/15/2024]
Abstract
Lipid accumulation, inflammation, and oxidative stress are the most important causes of muscle insulin resistance. The aim of this study was to investigate the single and combined treatment effects of metformin (MET) and morin (MOR) on lipid accumulation, inflammation, and oxidative stress in the skeletal muscle of mice fed a high-fat diet. The mice were supplemented with MET (230 mg/kg diet), MOR (100 mg/kg diet), and MET + MOR for 9 weeks. Our results revealed that single treatment with MET or MOR, and with a stronger effect of MET + MOR combined treatment, reduced body weight gain, improved glucose intolerance and enhanced Akt phosphorylation in the muscle tissue. In addition, plasma and muscle triglyceride levels were decreased after treatment with MET and MOR. The expression of genes involved in macrophage infiltration and polarization and pro-inflammatory cytokines showed that MET + MOR combined treatment, significantly reduced inflammation in the muscle. Furthermore, combined treatment of MET + MOR with greater efficacy than the single treatment improved several oxidative stress markers in the muscle. Importantly, combined treatment of MET and MOR could increase the expression of nuclear factor erythroid 2-related factor 2, the master regulator of the antioxidant response. These findings suggest that combination of MET with MOR might ameliorate insulin resistance, inflammation, and oxidative stress in the skeletal muscle of mice fed high-fat diet.
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Affiliation(s)
- Arash Bahramzadeh
- Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Sadra Samavarchi Tehrani
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Science, Tehran, Iran
| | - Golnaz Goodarzi
- Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Department of Pathobiology and Laboratory Science, North Khorasan University of Medical Sciences, Bojnurd, Iran
| | - ShadiSadat Seyyedebrahimi
- Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Meshkani
- Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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4
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Tsukagoshi-Yamaguchi A, Koshizaka M, Ishibashi R, Ishikawa K, Ishikawa T, Shoji M, Ide S, Ide K, Baba Y, Terayama R, Hattori A, Takemoto M, Ouchi Y, Maezawa Y, Yokote K. Metabolomic analysis of serum samples from a clinical study on ipragliflozin and metformin treatment in Japanese patients with type 2 diabetes: Exploring human metabolites associated with visceral fat reduction. Pharmacotherapy 2023; 43:1317-1326. [PMID: 37772313 DOI: 10.1002/phar.2884] [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: 05/30/2023] [Revised: 09/02/2023] [Accepted: 09/05/2023] [Indexed: 09/30/2023]
Abstract
STUDY OBJECTIVE The effects of the sodium-dependent glucose transporter-2 inhibitor ipragliflozin were compared with metformin in a previous study, which revealed that ipragliflozin reduced visceral fat content by 12%; however, the underlying mechanism was unclear. Therefore, this sub-analysis aimed to compare metabolomic changes associated with ipragliflozin and metformin that may contribute to their biological effects. DESIGN A sub-analysis of a randomized controlled study. SETTING Chiba University Hospital and ten hospitals in Japan. PATIENTS Fifteen patients with type 2 diabetes in the ipragliflozin group and 15 patients with type 2 diabetes in the metformin group with matching characteristics, such as age, sex, baseline A1C, baseline visceral fat area, smoking status, and concomitant medication. INTERVENTIONS Ipragliflozin 50 mg or metformin 1000 mg daily. MEASUREMENTS The clinical data were reanalyzed, and metabolomic analysis of serum samples collected before and 24 weeks after drug administration was performed using capillary electrophoresis time-of-flight mass spectrometry. MAIN RESULTS The reduction in the mean visceral fat area after 24 weeks of treatment was significantly larger (p = 0.002) in the ipragliflozin group (-19.8%) than in the metformin group (-2.5%), as were the subcutaneous fat area and body weight. The A1C and blood glucose levels decreased in both groups. Glutamic pyruvic oxaloacetic transaminase, γ-glutamyl transferase, uric acid, and triglyceride levels decreased in the ipragliflozin group. Low-density lipoprotein cholesterol levels decreased in the metformin group. After ipragliflozin administration, N2-phenylacetylglutamine, inosine, guanosine, and 1-methyladenosine levels increased, whereas galactosamine, glucosamine, 11-aminoundecanoic acid, morpholine, and choline levels decreased. After metformin administration, metformin, hypotaurine, methionine, methyl-2-oxovaleric acid, 3-nitrotyrosine, and cyclohexylamine levels increased, whereas citrulline, octanoic acid, indole-3-acetaldehyde, and hexanoic acid levels decreased. CONCLUSIONS Metabolites that may affect visceral fat reduction were detected in the ipragliflozin group. Studies are required to further elucidate the underlying mechanisms.
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Affiliation(s)
| | - Masaya Koshizaka
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
- Center for Preventive Medical Science, Chiba University, Chiba City, Japan
| | - Ryoichi Ishibashi
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
- Division of Diabetes, Endocrinology, and Metabolism, Kimitsu Chuo Hospital, Kisarazu City, Japan
| | - Ko Ishikawa
- Department of Diabetes and Endocrinology, Chiba Rosai Hospital, Ichihara City, Japan
| | - Takahiro Ishikawa
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of General Medical Science, Chiba University Graduate School of Medicine, Chiba City, Japan
| | - Mayumi Shoji
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
| | - Shintaro Ide
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
| | - Kana Ide
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
| | - Yusuke Baba
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
| | - Ryo Terayama
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
| | - Akiko Hattori
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
| | - Minoru Takemoto
- Division of Diabetes, Department of Medicine, Metabolism and Endocrinology, International University of Health and Welfare, Narita City, Japan
| | - Yasuo Ouchi
- Department of Regenerative Medicine, Chiba University Graduate School of Medicine, Chiba City, Japan
- Altos Labs, California, San Diego, USA
| | - Yoshiro Maezawa
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
| | - Koutaro Yokote
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
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Chang KH, Chen CM, Lin CN, Tsai SS, Lyu RK, Chu CC, Ro LS, Liao MF, Chang HS, Weng YC, Hwang JS, Kuo HC. Identification of blood metabolic biomarkers associated with diabetic distal symmetric sensorimotor polyneuropathy in patients with type 2 diabetes mellitus. J Peripher Nerv Syst 2023; 28:651-663. [PMID: 37831393 DOI: 10.1111/jns.12600] [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: 05/27/2023] [Revised: 10/06/2023] [Accepted: 10/12/2023] [Indexed: 10/14/2023]
Abstract
BACKGROUND Distal symmetric sensorimotor polyneuropathy (DSPN) is a common neurologic complication of type 2 diabetes mellitus (T2DM), but the underlying mechanisms and changes in serum metabolites remain largely undefined. This study aimed to characterize the plasma metabolite profiles of participants with T2DM using targeted metabolomics analysis and identify potential biomarkers for DSPN. METHODS A combined liquid chromatography MS/MS and direct flow injection were used to quantify plasma metabolite obtained from 63 participants with T2DM, 81 with DSPN, and 33 nondiabetic control participants. A total of 130 metabolites, including amino acids, biogenic amines, sphingomyelins (SM), phosphatidylcholines, carnitines, and hexose, were analyzed. RESULTS A total of 16 plasma metabolites and 3 cholesterol-related laboratory parameters were found to have variable importance in the projection score >1.0 and false discovery rate <5.0% between control, T2DM, and DSPN. Among these variables, five serum metabolites, including phenylalanine (AUC = 0.653), alanine (AUC = 0.630), lysine (AUC = 0.622) tryptophan (AUC = 0.620), and SM C16:0 (AUC = 0.630), are potential biomarkers (all p < .05) in distinguishing T2DM with DSPN from those without (AUC = 0.720). CONCLUSIONS In this cross-sectional study, derangement of several metabolites in the plasma was observed in T2DM with and without DSPN, and these metabolites may be potential biomarkers for predicting DSPN. Longitudinal studies are warranted.
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Affiliation(s)
- Kuo-Hsuan Chang
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Chiung-Mei Chen
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Chia-Ni Lin
- Department of Laboratory Medicine, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Sung-Sheng Tsai
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
| | - Rong-Kuo Lyu
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Chun-Che Chu
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Long-Sun Ro
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Ming-Feng Liao
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Hong-Shiu Chang
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Yi-Ching Weng
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Jawl-Shan Hwang
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
| | - Hung-Chou Kuo
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- College of Medicine, Chang Gung University, Taoyuan City, Taiwan
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6
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Alsobaie S, Alageel AA, Ishfaq T, Ali Khan I, Alharbi KK. Examining the Genetic Role of rs8192675 Variant in Saudi Women Diagnosed with Polycystic Ovary Syndrome. Diagnostics (Basel) 2023; 13:3214. [PMID: 37892034 PMCID: PMC10606196 DOI: 10.3390/diagnostics13203214] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/09/2023] [Accepted: 10/09/2023] [Indexed: 10/29/2023] Open
Abstract
Polycystic ovary syndrome is a complex disorder defined by the Rotterdam criteria. Insulin resistance is a common factor for the development of type 2 diabetes mellitus among women with PCOS. The SLC2A2 gene has been identified as a T2DM gene by genome-wide association studies in the rs8192675 SNP. This study aimed to investigate the rs8192675 SNP in women diagnosed with PCOS on a molecular level and further for T2DM development in the Saudi women. In this case-control study, 100 PCOS women and 100 healthy controls were selected. Among 100 PCOS women, 28 women showed T2DM development. Genotyping for rs8192675 SNP was performed by PCR-RFLP analysis. Additionally, Sanger sequencing was performed to validate the RFLP analysis. The obtained data were used for a statistical analysis for the genotype and allele frequencies, logistic regression, and ANOVA analysis. The clinical data confirmed the positive association between FBG, FI, FSH, TT, TC, HDLc, LDLc, and family histories (p < 0.05). HWE analysis was associated in both the PCOS cases and the control individuals. Genotype and allele frequencies were associated in PCOS women and strongly associated with women with PCOS who developed T2DM (p < 0.05). No association was found in the logistic regression model or ANOVA analysis studied in women with PCOS (p > 0.05). A strong association was observed between the rs8192675 SNP and women with PCOS who developed T2DM using ANOVA analysis (p < 0.05). This study confirms that the rs8192675 SNP is associated with women with PCOS and strongly associated with women with PCOS with developed T2DM in Saudi Arabia.
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Affiliation(s)
- Sarah Alsobaie
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia; (S.A.); (A.A.A.); (K.K.A.)
| | - Arwa A. Alageel
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia; (S.A.); (A.A.A.); (K.K.A.)
| | - Tahira Ishfaq
- Department of Obstetrics and Gynecology, College of Medicine, King Saud University, Riyadh 11472, Saudi Arabia;
| | - Imran Ali Khan
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia; (S.A.); (A.A.A.); (K.K.A.)
| | - Khalid Khalaf Alharbi
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia; (S.A.); (A.A.A.); (K.K.A.)
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7
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Naja K, Anwardeen N, Al-Hariri M, Al Thani AA, Elrayess MA. Pharmacometabolomic Approach to Investigate the Response to Metformin in Patients with Type 2 Diabetes: A Cross-Sectional Study. Biomedicines 2023; 11:2164. [PMID: 37626661 PMCID: PMC10452592 DOI: 10.3390/biomedicines11082164] [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: 06/15/2023] [Revised: 07/14/2023] [Accepted: 07/30/2023] [Indexed: 08/27/2023] Open
Abstract
Metformin constitutes the foundation therapy in type 2 diabetes (T2D). Despite its multiple beneficial effects and widespread use, there is considerable inter-individual variability in response to metformin. Our objective is to identify metabolic signatures associated with poor and good responses to metformin, which may improve our ability to predict outcomes for metformin treatment. In this cross-sectional study, clinical and metabolic data for 119 patients with type 2 diabetes taking metformin were collected from the Qatar Biobank. Patients were empirically dichotomized according to their HbA1C levels into good and poor responders. Differences in the level of metabolites between these two groups were compared using orthogonal partial least square discriminate analysis (OPLS-DA) and linear models. Good responders showed increased levels of sphingomyelins, acylcholines, and glutathione metabolites. On the other hand, poor responders showed increased levels of metabolites resulting from glucose metabolism and gut microbiota metabolites. The results of this study have the potential to increase our knowledge of patient response variability to metformin and carry significant implications for enabling personalized medicine.
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Affiliation(s)
- Khaled Naja
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar; (K.N.); (N.A.); (A.A.A.T.)
| | - Najeha Anwardeen
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar; (K.N.); (N.A.); (A.A.A.T.)
| | | | - Asmaa A. Al Thani
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar; (K.N.); (N.A.); (A.A.A.T.)
- QU Health, Qatar University, Doha P.O. Box 2713, Qatar;
| | - Mohamed A. Elrayess
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar; (K.N.); (N.A.); (A.A.A.T.)
- QU Health, Qatar University, Doha P.O. Box 2713, Qatar;
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8
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Liu Z, Jia X, Wu P, Wu B, Pan Y, Zhong S, Xiao L, Song Y, Hu J, Zhou K. PMAT variant rs3889348 is associated with metformin-induced gastrointestinal among Chinese Type 2 diabetes patients. Pharmacogenomics 2023; 24:551-560. [PMID: 37458617 DOI: 10.2217/pgs-2023-0078] [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] [Indexed: 08/22/2023] Open
Abstract
Aim: This study examined intronic gene variants for their association with metformin intolerance in a Chinese population, focusing on the plasma monoamine transporter (PMAT) cis-protein expression quantitative trait loci (cis-eQTL) variant rs3889348. Methods: We recruited Type 2 diabetes patients from two hospitals and identified 111 metformin-intolerant patients using a questionnaire, and selected 206 metformin-tolerant patients from 2180 Type 2 diabetes mellitus patients. Genetic testing revealed an association between adverse gastrointestinal (GI) effects and SLC22A1 and PMAT. Results: The single-nucleotide polymorphism rs3889348 is associated with metformin-induced adverse GI effects. Each additional copy of the G allele increases the score by 5.23 (95% CI: 1.82-8.64; p = 0.003). Patients taking more transporter inhibitors were more likely to respond to metformin-induced GI intolerance (p = 0.042). Conclusion: PMAT cis-eQTL rs3889348 was significantly associated with metformin-induced adverse GI effects.
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Affiliation(s)
- Ziqing Liu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 10140, China
| | - Xiao Jia
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy & Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin, 300000, China
| | - Peng Wu
- Guangzhou Laboratory, Guangdong Province, China
| | - Benrui Wu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 10140, China
- National Laboratory of Biomacromolecules, Institute of Biophysics Chinese Academy of Sciences, Beijing, 100101, China
| | - Ying Pan
- The first people's hospital of Kunshan, Jiangsu Province, China
| | - Shao Zhong
- The first people's hospital of Kunshan, Jiangsu Province, China
| | - Luhua Xiao
- Kunshan community health service center in Bailu, Jiangsu Province, China
| | - Yuehong Song
- Kunshan community health service center in Zhenchuan, Jiangsu Province, China
| | - Jinbo Hu
- Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Kaixin Zhou
- Guangzhou Laboratory, Guangdong Province, China
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9
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Saiz-Rodríguez M, Ochoa D, Zubiaur P, Navares-Gómez M, Román M, Camargo-Mamani P, Luquero-Bueno S, Villapalos-García G, Alcaraz R, Mejía-Abril G, Santos-Mazo E, Abad-Santos F. Identification of Transporter Polymorphisms Influencing Metformin Pharmacokinetics in Healthy Volunteers. J Pers Med 2023; 13:jpm13030489. [PMID: 36983671 PMCID: PMC10053761 DOI: 10.3390/jpm13030489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 03/02/2023] [Accepted: 03/07/2023] [Indexed: 03/11/2023] Open
Abstract
For patients with type 2 diabetes, metformin is the most often recommended drug. However, there are substantial individual differences in the pharmacological response to metformin. To investigate the effect of transporter polymorphisms on metformin pharmacokinetics in an environment free of confounding variables, we conducted our study on healthy participants. This is the first investigation to consider demographic characteristics alongside all transporters involved in metformin distribution. Pharmacokinetic parameters of metformin were found to be affected by age, sex, ethnicity, and several polymorphisms. Age and SLC22A4 and SLC47A2 polymorphisms affected the area under the concentration-time curve (AUC). However, after adjusting for dose-to-weight ratio (dW), sex, age, and ethnicity, along with SLC22A3 and SLC22A4, influenced AUC. The maximum concentration was affected by age and SLC22A1, but after adjusting for dW, it was affected by sex, age, ethnicity, ABCG2, and SLC22A4. The time to reach the maximum concentration was influenced by sex, like half-life, which was also affected by SLC22A3. The volume of distribution and clearance was affected by sex, age, ethnicity and SLC22A3. Alternatively, the pharmacokinetics of metformin was unaffected by polymorphisms in ABCB1, SLC2A2, SLC22A2, or SLC47A1. Therefore, our study demonstrates that a multifactorial approach to all patient characteristics is necessary for better individualization.
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Affiliation(s)
- Miriam Saiz-Rodríguez
- Research Unit, Fundación Burgos por la Investigación de la Salud (FBIS), Hospital Universitario de Burgos, 09006 Burgos, Spain;
- Department of Health Sciences, University of Burgos, 09001 Burgos, Spain
- Correspondence: (M.S.-R.); (D.O.)
| | - Dolores Ochoa
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain; (P.Z.); (M.N.-G.); (M.R.); (P.C.-M.); (S.L.-B.); (G.V.-G.); (G.M.-A.); (F.A.-S.)
- Correspondence: (M.S.-R.); (D.O.)
| | - Pablo Zubiaur
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain; (P.Z.); (M.N.-G.); (M.R.); (P.C.-M.); (S.L.-B.); (G.V.-G.); (G.M.-A.); (F.A.-S.)
| | - Marcos Navares-Gómez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain; (P.Z.); (M.N.-G.); (M.R.); (P.C.-M.); (S.L.-B.); (G.V.-G.); (G.M.-A.); (F.A.-S.)
| | - Manuel Román
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain; (P.Z.); (M.N.-G.); (M.R.); (P.C.-M.); (S.L.-B.); (G.V.-G.); (G.M.-A.); (F.A.-S.)
| | - Paola Camargo-Mamani
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain; (P.Z.); (M.N.-G.); (M.R.); (P.C.-M.); (S.L.-B.); (G.V.-G.); (G.M.-A.); (F.A.-S.)
| | - Sergio Luquero-Bueno
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain; (P.Z.); (M.N.-G.); (M.R.); (P.C.-M.); (S.L.-B.); (G.V.-G.); (G.M.-A.); (F.A.-S.)
| | - Gonzalo Villapalos-García
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain; (P.Z.); (M.N.-G.); (M.R.); (P.C.-M.); (S.L.-B.); (G.V.-G.); (G.M.-A.); (F.A.-S.)
| | - Raquel Alcaraz
- Research Unit, Fundación Burgos por la Investigación de la Salud (FBIS), Hospital Universitario de Burgos, 09006 Burgos, Spain;
| | - Gina Mejía-Abril
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain; (P.Z.); (M.N.-G.); (M.R.); (P.C.-M.); (S.L.-B.); (G.V.-G.); (G.M.-A.); (F.A.-S.)
| | | | - Francisco Abad-Santos
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain; (P.Z.); (M.N.-G.); (M.R.); (P.C.-M.); (S.L.-B.); (G.V.-G.); (G.M.-A.); (F.A.-S.)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, 28029 Madrid, Spain
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