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Iqbal Z, Vasan SK, Fachim H, Warner-Levy J, Donn RP, Ammori BJ, Heald AH, Soran H, Syed AA. Are weight loss and metabolic outcomes of bariatric surgery influenced by candidate glucocorticoid receptor gene polymorphisms? A prospective study. Adipocyte 2024; 13:2369776. [PMID: 38982594 PMCID: PMC11238915 DOI: 10.1080/21623945.2024.2369776] [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: 02/25/2024] [Accepted: 06/12/2024] [Indexed: 07/11/2024] Open
Abstract
BACKGROUND Bariatric surgery is the most effective treatment for severe obesity. There can be variation in the degree of weight reduction following bariatric surgery. It is unknown whether single nucleotide polymorphisms (SNPs) in the glucocorticoid receptor locus (GRL) affect postoperative weight loss and metabolic outcomes. MATERIALS/METHODS We studied the association between selected candidate SNPs and postoperative weight loss and metabolic outcomes in patients with severe obesity undergoing bariatric surgery. The polymorphisms rs41423247 (Bcl1), rs56149945 (N363S) and rs6189/rs6190 (ER22/23EK) were analysed. RESULTS The 139 participants included 95 women (68.3%) and had a median (interquartile range) age of 53.0 (46.0-60.0) years and mean (SD) weight of 140.8 (28.8) kg and body mass index of 50.3 (8.6) kg/m2. At baseline, 59 patients had type 2 diabetes (T2D), 60 had hypertension and 35 had obstructive sleep apnoea syndrome treated with continuous positive airway pressure (CPAP). 84 patients (60.4%) underwent gastric bypass and 55 (39.6%) underwent sleeve gastrectomy. There were no significant differences in weight loss, glycated haemoglobin (HbA1c) or lipid profile categorized by genotype status, sex or median age. There was significant weight reduction after bariatric surgery with a postoperative BMI of 34.1 (6.8) kg/m2 at 24 months (p < 0.001). CONCLUSION While GRL polymorphisms with a known deleterious effect on adipose tissue mass and function may have a small, additive effect on the prevalence of obesity and related metabolic disorders in the population, we suggest that the relatively weak biological influence of these SNPs is readily overcome by bariatric surgery.
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Affiliation(s)
- Zohaib Iqbal
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Senthil Kandaswamy Vasan
- Endocrinology and Diabetes, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK
| | | | - John Warner-Levy
- Endocrinology and Diabetes, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK
| | - Rachelle P. Donn
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Basil J. Ammori
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Adrian H. Heald
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Handrean Soran
- Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Akheel A. Syed
- Endocrinology and Diabetes, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK
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Sabatini S, Nolan JJ, O'Donoghue G, Kennedy A, Petrie J, Walker M, O'Gorman DJ, Gastaldelli A. Baseline phenotypes with preserved β-cell function and high insulin concentrations have the best improvements in glucose tolerance after weight loss: results from the prospective DEXLIFE and EGIR-RISC studies. Metabolism 2024; 155:155910. [PMID: 38599278 DOI: 10.1016/j.metabol.2024.155910] [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: 11/27/2023] [Revised: 04/04/2024] [Accepted: 04/04/2024] [Indexed: 04/12/2024]
Abstract
BACKGROUND Weight loss and lifestyle intervention improve glucose tolerance delaying the onset of type 2 diabetes (T2D), but individual responses are highly variable. Determining the predictive factors linked to the beneficial effects of weight loss on glucose tolerance could provide tools for individualized prevention plans. Thus, the aim was to investigate the relationship between pre-intervention values of insulin sensitivity and secretion and the improvement in glucose metabolism after weight loss. METHODS In the DEXLIFE cohort (373 individuals at high risk of T2D, assigned 3:1 to a 12-week lifestyle intervention or a control arm, Trial Registration: ISRCTN66987085), K-means clustering and logistic regression analysis were performed based on pre-intervention indices of insulin sensitivity, insulin secretion (AUC-I), and glucose-stimulated insulin response (ratio of incremental areas of insulin and glucose, iAUC I/G). The response to the intervention was evaluated in terms of reduction of OGTT-glucose concentration. Clusters' validation was done in the prospective EGIR-RISC cohort (n = 1538). RESULTS Four replicable clusters with different glycemic and metabolomic profiles were identified. Individuals had similar weight loss, but improvement in glycemic profile and β-cell function was different among clusters, highly depending on pre-intervention insulin response to OGTT. Pre-intervention high insulin response was associated with the best improvement in AUC-G, while clusters with low AUC-I and iAUC I/G showed no beneficial effect of weight loss on glucose control, as also confirmed by the logistic regression model. CONCLUSIONS Individuals with preserved β-cell function and high insulin concentrations at baseline have the best improvement in glucose tolerance after weight loss.
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Affiliation(s)
- Silvia Sabatini
- Institute of Clinical Physiology, National Research Council, CNR, Pisa, Italy
| | - John J Nolan
- Department of Clinical Medicine, Trinity College Dublin, Ireland
| | - Grainne O'Donoghue
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Aileen Kennedy
- School of Biological, Health and Sports Sciences, Technological University Dublin, Dublin, Ireland
| | - John Petrie
- School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Mark Walker
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Donal J O'Gorman
- School of Health and Human Performance, Dublin City University, Glasnevin, Dublin, Ireland
| | - Amalia Gastaldelli
- Institute of Clinical Physiology, National Research Council, CNR, Pisa, Italy.; Diabetes Division, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
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Pereira J, Pereira PR, Andrade S, Pereira SS, Nora M, Guimarães M, Monteiro MP. The Impact of Early-Stage Chronic Kidney Disease on Weight Loss Outcomes After Gastric Bypass. Obes Surg 2023; 33:3767-3777. [PMID: 37816974 PMCID: PMC10687110 DOI: 10.1007/s11695-023-06862-2] [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: 07/03/2023] [Revised: 09/16/2023] [Accepted: 09/25/2023] [Indexed: 10/12/2023]
Abstract
PURPOSE Weight loss achieved through bariatric metabolic surgery was demonstrated to be effective at reversing chronic kidney dysfunction associated with obesity-related glomerulopathy. However, robust data on how pre-operative kidney status impacts on bariatric metabolic surgery weight loss outcomes is still lacking. The aim of this study was to evaluate the impact of kidney dysfunction on weight loss outcomes after bariatric metabolic surgery. METHODS Patients with obesity to be submitted to gastric bypass surgery underwent a pre-operative evaluation of creatinine clearance, estimated glomerular filtration rate (eGFR), proteinuria, and albuminuria in 24-hour urine. Body mass index (BMI), % total weight loss (%TWL), and % excess BMI loss (%EBMIL) were assessed at 6 and 12 months after surgery. RESULTS Before surgery, patients (N=127) had a mean BMI of 39.6 ± 3.0 kg/m2, and 56.7% (n=72) had a creatinine clearance > 130 mL/min, 23.6% (n= 30) presented proteinuria > 150 mg/24h, and 15.0% (n= 19) presented albuminuria > 30 mg/24h. After surgery, the mean BMI was 27.7 kg/m2 and 25.0 kg/m2 at 6 and 12 months, respectively (p<0.0001). The %TWL was lower in patients with pre-operative eGFR < percentile 25 (34.4 ± 5.8% vs 39.4 ± 4.9%, p=0.0007, at 12 months). There were no significant correlations between weight loss metrics and pre-operative creatinine clearance rate, proteinuria, or albuminuria. CONCLUSION Early-stage chronic kidney disease (G2) has a negative impact on short-term weight loss outcomes after bariatric metabolic surgery, albeit in a magnitude inferior to the clinically relevant threshold.
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Affiliation(s)
- João Pereira
- Unit for Multidisciplinary Research in Biomedicine (UMIB), School of Medicine and Biomedical Sciences (ICBAS), University of Porto, Rua Jorge Viterbo Ferreira 228, 4050-313, Porto, Portugal
- ITR-Laboratory of Integrative and Translocation Research in Population Health, Rua das Taipas 135, 4050-600, Porto, Portugal
| | - Pedro R Pereira
- Unit for Multidisciplinary Research in Biomedicine (UMIB), School of Medicine and Biomedical Sciences (ICBAS), University of Porto, Rua Jorge Viterbo Ferreira 228, 4050-313, Porto, Portugal
- ITR-Laboratory of Integrative and Translocation Research in Population Health, Rua das Taipas 135, 4050-600, Porto, Portugal
- Department of Nephrology, Hospital de Braga, Rua das Comunidades Lusíadas 133, 4710-243, Braga, Portugal
| | - Sara Andrade
- Unit for Multidisciplinary Research in Biomedicine (UMIB), School of Medicine and Biomedical Sciences (ICBAS), University of Porto, Rua Jorge Viterbo Ferreira 228, 4050-313, Porto, Portugal
- ITR-Laboratory of Integrative and Translocation Research in Population Health, Rua das Taipas 135, 4050-600, Porto, Portugal
| | - Sofia S Pereira
- Unit for Multidisciplinary Research in Biomedicine (UMIB), School of Medicine and Biomedical Sciences (ICBAS), University of Porto, Rua Jorge Viterbo Ferreira 228, 4050-313, Porto, Portugal
- ITR-Laboratory of Integrative and Translocation Research in Population Health, Rua das Taipas 135, 4050-600, Porto, Portugal
| | - Mário Nora
- Department of General Surgery, Hospital São Sebastião, Centro Hospitalar de Entre o Douro e Vouga, Rua Dr. Cândido Pinho, 4050-220, Santa Maria da Feira, Portugal
| | - Marta Guimarães
- Unit for Multidisciplinary Research in Biomedicine (UMIB), School of Medicine and Biomedical Sciences (ICBAS), University of Porto, Rua Jorge Viterbo Ferreira 228, 4050-313, Porto, Portugal
- ITR-Laboratory of Integrative and Translocation Research in Population Health, Rua das Taipas 135, 4050-600, Porto, Portugal
- Department of General Surgery, Hospital São Sebastião, Centro Hospitalar de Entre o Douro e Vouga, Rua Dr. Cândido Pinho, 4050-220, Santa Maria da Feira, Portugal
| | - Mariana P Monteiro
- Unit for Multidisciplinary Research in Biomedicine (UMIB), School of Medicine and Biomedical Sciences (ICBAS), University of Porto, Rua Jorge Viterbo Ferreira 228, 4050-313, Porto, Portugal.
- ITR-Laboratory of Integrative and Translocation Research in Population Health, Rua das Taipas 135, 4050-600, Porto, Portugal.
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Saux P, Bauvin P, Raverdy V, Teigny J, Verkindt H, Soumphonphakdy T, Debert M, Jacobs A, Jacobs D, Monpellier V, Lee PC, Lim CH, Andersson-Assarsson JC, Carlsson L, Svensson PA, Galtier F, Dezfoulian G, Moldovanu M, Andrieux S, Couster J, Lepage M, Lembo E, Verrastro O, Robert M, Salminen P, Mingrone G, Peterli R, Cohen RV, Zerrweck C, Nocca D, Le Roux CW, Caiazzo R, Preux P, Pattou F. Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study. Lancet Digit Health 2023; 5:e692-e702. [PMID: 37652841 DOI: 10.1016/s2589-7500(23)00135-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 05/04/2023] [Accepted: 07/11/2023] [Indexed: 09/02/2023]
Abstract
BACKGROUND Weight loss trajectories after bariatric surgery vary widely between individuals, and predicting weight loss before the operation remains challenging. We aimed to develop a model using machine learning to provide individual preoperative prediction of 5-year weight loss trajectories after surgery. METHODS In this multinational retrospective observational study we enrolled adult participants (aged ≥18 years) from ten prospective cohorts (including ABOS [NCT01129297], BAREVAL [NCT02310178], the Swedish Obese Subjects study, and a large cohort from the Dutch Obesity Clinic [Nederlandse Obesitas Kliniek]) and two randomised trials (SleevePass [NCT00793143] and SM-BOSS [NCT00356213]) in Europe, the Americas, and Asia, with a 5 year follow-up after Roux-en-Y gastric bypass, sleeve gastrectomy, or gastric band. Patients with a previous history of bariatric surgery or large delays between scheduled and actual visits were excluded. The training cohort comprised patients from two centres in France (ABOS and BAREVAL). The primary outcome was BMI at 5 years. A model was developed using least absolute shrinkage and selection operator to select variables and the classification and regression trees algorithm to build interpretable regression trees. The performances of the model were assessed through the median absolute deviation (MAD) and root mean squared error (RMSE) of BMI. FINDINGS 10 231 patients from 12 centres in ten countries were included in the analysis, corresponding to 30 602 patient-years. Among participants in all 12 cohorts, 7701 (75·3%) were female, 2530 (24·7%) were male. Among 434 baseline attributes available in the training cohort, seven variables were selected: height, weight, intervention type, age, diabetes status, diabetes duration, and smoking status. At 5 years, across external testing cohorts the overall mean MAD BMI was 2·8 kg/m2 (95% CI 2·6-3·0) and mean RMSE BMI was 4·7 kg/m2 (4·4-5·0), and the mean difference between predicted and observed BMI was -0·3 kg/m2 (SD 4·7). This model is incorporated in an easy to use and interpretable web-based prediction tool to help inform clinical decision before surgery. INTERPRETATION We developed a machine learning-based model, which is internationally validated, for predicting individual 5-year weight loss trajectories after three common bariatric interventions. FUNDING SOPHIA Innovative Medicines Initiative 2 Joint Undertaking, supported by the EU's Horizon 2020 research and innovation programme, the European Federation of Pharmaceutical Industries and Associations, Type 1 Diabetes Exchange, and the Juvenile Diabetes Research Foundation and Obesity Action Coalition; Métropole Européenne de Lille; Agence Nationale de la Recherche; Institut national de recherche en sciences et technologies du numérique through the Artificial Intelligence chair Apprenf; Université de Lille Nord Europe's I-SITE EXPAND as part of the Bandits For Health project; Laboratoire d'excellence European Genomic Institute for Diabetes; Soutien aux Travaux Interdisciplinaires, Multi-établissements et Exploratoires programme by Conseil Régional Hauts-de-France (volet partenarial phase 2, project PERSO-SURG).
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Affiliation(s)
- Patrick Saux
- Université de Lille, Inria, CNRS, Centrale Lille, UMR 9189 - CRIStAL, France
| | - Pierre Bauvin
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1190-EGID, Lille, France
| | - Violeta Raverdy
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1190-EGID, Lille, France
| | - Julien Teigny
- Université de Lille, Inria, CNRS, Centrale Lille, UMR 9189 - CRIStAL, France
| | - Hélène Verkindt
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1190-EGID, Lille, France
| | - Tomy Soumphonphakdy
- Université de Lille, Inria, CNRS, Centrale Lille, UMR 9189 - CRIStAL, France
| | - Maxence Debert
- Université de Lille, Inria, CNRS, Centrale Lille, UMR 9189 - CRIStAL, France
| | - Anne Jacobs
- Nederlandse Obesitas Kliniek, Huis Ter Heide, Netherlands
| | - Daan Jacobs
- Nederlandse Obesitas Kliniek, Huis Ter Heide, Netherlands
| | | | - Phong Ching Lee
- Department of Endocrinology, Division of Medicine, Singapore General Hospital, Singapore
| | - Chin Hong Lim
- Department of Upper Gastrointestinal and Bariatric Surgery, Division of Surgery, Singapore General Hospital, Singapore
| | - Johanna C Andersson-Assarsson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Lena Carlsson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Per-Arne Svensson
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden; Institute of Health and Care Sciences, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Florence Galtier
- Endocrinology Department, CHU de Montpellier, University of Montpellier, Montpellier, France; Clinical Investigation Center 1411, INSERM, CHU de Montpellier, University of Montpellier, Montpellier, France
| | | | | | | | - Julien Couster
- Centre Hospitalier Boulogne-sur-Mer, Boulogne-sur-Mer, France
| | - Marie Lepage
- Centre Hospitalier Boulogne-sur-Mer, Boulogne-sur-Mer, France
| | - Erminia Lembo
- Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore Rome, Rome, Italy
| | - Ornella Verrastro
- Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore Rome, Rome, Italy
| | - Maud Robert
- Department of Digestive Surgery, Center of Bariatric Surgery, Hopital Edouard Herriot, Hospices Civils de Lyon, Lyon, France
| | - Paulina Salminen
- Division of Digestive Surgery and Urology, Turku University Hospital, Turku, Finland; Department of Surgery, University of Turku, Turku, Finland
| | - Geltrude Mingrone
- Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy; Università Cattolica del Sacro Cuore Rome, Rome, Italy
| | - Ralph Peterli
- University of Basle, Basle, Switzerland; Clarunis, Department of Visceral Surgery, University Centre for Gastrointestinal and Liver Diseases, St Clara Hospital and University Hospital Basle, Basle, Switzerland
| | - Ricardo V Cohen
- The Center for Obesity and Diabetes, Oswaldo Cruz German Hospital, São Paulo, Brazil
| | - Carlos Zerrweck
- Clínica Integral de Cirugía para la Obesidad y Enfermedades Metabólicas, Hospital General Tláhuac, Mexico City, Mexico
| | - David Nocca
- Department of Digestive Surgery, CHU de Montpellier, University of Montpellier, Montpellier, France
| | | | - Robert Caiazzo
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1190-EGID, Lille, France
| | - Philippe Preux
- Université de Lille, CNRS, Inria, Centrale Lille, UMR 9189 - CRIStAL, Lille, France.
| | - François Pattou
- Université de Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1190-EGID, Lille, France.
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Stumpf M, Rodrigues M, Kluthcovsky A, Milleo F. Preoperative factors correlated with post-bariatric surgery weight loss. REVISTA DE GASTROENTEROLOGÍA DE MÉXICO (ENGLISH EDITION) 2022; 87:506-508. [DOI: 10.1016/j.rgmxen.2022.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 08/25/2022] [Indexed: 11/06/2022] Open
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Stumpf M, Rodrigues M, Kluthcovsky A, Milleo F. Factores preoperatorios correlacionados con la pérdida de peso post-cirugía bariátrica. REVISTA DE GASTROENTEROLOGÍA DE MÉXICO 2022. [DOI: 10.1016/j.rgmx.2022.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Li N, Xu B, Zeng J, Lei S, Gu L, Feng L, Zhu B, Huang Y, Wang L, Su L, Qu S, Cheng X, Bu L. Development of a New Index Based on Preoperative Serum Lipocalin 2 to Predict Post-LSG Weight Reduction. Obes Surg 2022; 32:1184-1192. [PMID: 35138515 PMCID: PMC8933383 DOI: 10.1007/s11695-022-05916-1] [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: 11/16/2021] [Revised: 01/03/2022] [Accepted: 01/14/2022] [Indexed: 11/30/2022]
Abstract
Background Bariatric surgery is the most effective therapy for obesity, but targeted weight reduction is not always achieved. Serum lipocalin-2 (LCN2) is closely associated with obesity, but its impact on weight loss after surgery is unknown. We aimed to access the reliability of LCN2 levels and other parameters as effective predictors of excellent weight loss (≥ 75% excess weight loss (EWL)) 1 year after bariatric surgery. Methods This retrospective study evaluated 450 patients (aged 18–65 years) with obesity at 3 months and 1 year after laparoscopic sleeve gastrectomy (LSG) surgery. Seventy-four patients who underwent LSG surgery and met the inclusion and exclusion criteria were included in this study. Serum LCN2, thyroid function, and metabolic and anthropometric parameters were assessed. Weight reduction was expressed as %EWL and percent total weight loss (%TWL) at 3 months and 1 year post surgery. Multivariable logistic regression analysis and receiver operating characteristic (ROC) curve analysis were used to evaluate predictors of ≥ 75%EWL. Results In our cohort, %EWL and %TWL were both strongly associated with preoperative serum LCN2 levels. The binary logistic regression analysis showed that preoperative LCN2, waist circumference, and glycated hemoglobin were independent predictors of excellent weight loss. Conclusions Based on these results, we determined a new P index with better predictive value for excellent weight reduction (≥ 75%EWL) 1 year after LSG surgery. Graphical abstract ![]()
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Affiliation(s)
- Nannan Li
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Middle Yanchang Road, Shanghai, 200072, China
| | - Bei Xu
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Middle Yanchang Road, Shanghai, 200072, China
| | - Jiangping Zeng
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Middle Yanchang Road, Shanghai, 200072, China
| | - Shihui Lei
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Middle Yanchang Road, Shanghai, 200072, China
| | - Lei Gu
- Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Middle Yanchang Road, Shanghai, 200072, China
| | - Lijin Feng
- Department of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Middle Yanchang Road, Shanghai, 200072, China
| | - Bing Zhu
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Middle Yanchang Road, Shanghai, 200072, China
| | - Yueye Huang
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Middle Yanchang Road, Shanghai, 200072, China
| | - Lu Wang
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Middle Yanchang Road, Shanghai, 200072, China
| | - Lili Su
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Middle Yanchang Road, Shanghai, 200072, China
| | - Shen Qu
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Middle Yanchang Road, Shanghai, 200072, China
| | - Xiaoyun Cheng
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Middle Yanchang Road, Shanghai, 200072, China.
| | - Le Bu
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301 Middle Yanchang Road, Shanghai, 200072, China.
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Dilimulati D, Du L, Huang X, Jayachandran M, Cai M, Zhang Y, Zhou D, Zhu J, Su L, Zhang M, Qu S. Serum Fibrinogen-Like Protein 1 Levels in Obese Patients Before and After Laparoscopic Sleeve Gastrectomy: A Six-Month Longitudinal Study. Diabetes Metab Syndr Obes 2022; 15:2511-2520. [PMID: 35999870 PMCID: PMC9393035 DOI: 10.2147/dmso.s374011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 08/07/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Fibrinogen-like protein (FGL)-1 is an original hepatokine with a critical role in developing hepatic steatosis. This study intends to examine the pre- and postoperative serum FGL-1 levels in bariatric patients and identify its relationship with other clinical indicators. PATIENTS AND METHODS Ninety-two individuals (60 bariatric patients and 32 people with normal weight) were enrolled in this research between July 2018 and April 2021. All bariatric patients finished follow-up visits 6 months after laparoscopic sleeve gastrectomy (LSG). Clinical data, anthropometric parameters, biochemical variables, FibroScan, and serum FGL-1 levels were collected at baseline and 6 months after LSG. RESULTS FGL-1 levels in patients with obesity (44.66±20.03 ng/mL) were higher than in individuals with normal weight (20.73±9.73 ng/mL, p < 0.001). After LSG, FGL-1 levels were significantly decreased (27.53±11.45 ng/mL, p < 0.001). Besides, body mass index (BMI), liver enzyme levels, glucose metabolism, lipid metabolism, uric acid (UA), controlled attenuation parameter (CAP), and liver stiffness measurement (LSM) were significantly improved. After adjusting possible confounders, FGL-1 levels at baseline were negatively associated with changes in LSM levels; changes in FGL-1 levels showed positive correlations with changes in alanine aminotransferase (ALT), aspartate aminotransferase (AST) and UA levels at 6 months after surgery. CONCLUSION Serum FGL-1 levels were significantly decreased following LSG in patients with obesity. The preoperative serum FGL-1 levels could be a predictor of postoperative liver fibrosis improvement. Furthermore, the decreased FGL-1 levels were associated with improved liver enzymes and UA but not with bodyweight or glucolipid metabolism.
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Affiliation(s)
- Diliqingna Dilimulati
- Department of Endocrinology and Metabolism, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200072, People’s Republic of China
| | - Lei Du
- Department of Endocrinology and Metabolism, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200072, People’s Republic of China
| | - Xiu Huang
- Department of Endocrinology and Metabolism, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200072, People’s Republic of China
| | - Muthukumaran Jayachandran
- Department of Endocrinology and Metabolism, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200072, People’s Republic of China
| | - Meili Cai
- Department of Endocrinology and Metabolism, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200072, People’s Republic of China
| | - Yuqin Zhang
- Department of Endocrinology and Metabolism, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200072, People’s Republic of China
| | - Donglei Zhou
- Department of Endocrinology and Metabolism, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200072, People’s Republic of China
| | - Jiangfan Zhu
- Department of Endocrinology and Metabolism, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200072, People’s Republic of China
| | - Lili Su
- Department of Endocrinology and Metabolism, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200072, People’s Republic of China
| | - Manna Zhang
- Department of Endocrinology and Metabolism, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200072, People’s Republic of China
| | - Shen Qu
- Department of Endocrinology and Metabolism, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, 200072, People’s Republic of China
- Correspondence: Shen Qu; Manna Zhang, Department of Endocrinology and Metabolism, Shanghai Tenth People’s Hospital, 301 Middle Yanchang Road, Shanghai, 200072, People’s Republic of China, Tel +8602166301004; +8613774448495, Email ;
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