1
|
Bian J, Chen H, Sun J, Han S, Qi M, Pan Q. Retinol dehydrogenase 12 (RDH12) knock out may cause hyperuricemia phenotype in mice. Biochem Biophys Res Commun 2024; 709:149809. [PMID: 38552555 DOI: 10.1016/j.bbrc.2024.149809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 03/15/2024] [Accepted: 03/19/2024] [Indexed: 04/13/2024]
Abstract
Hyperuricemia is a chronic metabolic disease caused by purine metabolism disorder. And several gene loci and transporter proteins that associated with uric acid transport functions have been identified. Retinol Dehydrogenase 12 (RDH12), recognized for its role in safeguarding photoreceptors, and our study investigated the potential impact of Rdh12 mutations on other organs and diseases, particularly hyperuricemia. We assessed Rdh12 mRNA expression levels in various tissues and conducted serum biochemical analyses in Rdh12-/- mice. Compared with the wild type, significant alterations in serum uric acid levels and kidney-related biochemical indicators have been revealed. Then further analysis, including quantitative RT-PCR of gene expression in the liver and kidney, highlighted variations in the expression levels of specific genes linked to hyperuricemia. And renal histology assessment exposed mild pathological lesions in the kidneys of Rdh12-/- mice. In summary, our study suggests that Rdh12 mutations impact not only retinal function but also contribute to hyperuricemia and renal disease phenotypes in mice. Our finding implies that individuals with Rdh12 mutations may be prone to hyperuricemia and gout, emphasizing the significance of preventive measures and regular examinations in daily life.
Collapse
Affiliation(s)
- Jiaxin Bian
- Department of Ophthalmology, Zhejiang University Medical School First Affiliated Hospital, Hangzhou, 310000, China; Department of Cell Biology and Medical Genetics, School of Medicine Zhejiang University, Hangzhou, 310000, China; HVP-China, Hangzhou, 310000, China
| | - Hongyu Chen
- Department of Cell Biology and Medical Genetics, School of Medicine Zhejiang University, Hangzhou, 310000, China
| | - Junhui Sun
- Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Shuai Han
- Center for Reproductive Medicine, Department of Reproductive Endocrinology, Zhejiang Provincial People's Hospital(Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, 310000, China
| | - Ming Qi
- Department of Ophthalmology, Zhejiang University Medical School First Affiliated Hospital, Hangzhou, 310000, China; Department of Cell Biology and Medical Genetics, School of Medicine Zhejiang University, Hangzhou, 310000, China; Assisted Reproduction Unit, Department of Obstetrics and Gynecology, Department of Laboratory Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Key Laboratory of Reproductive Dysfunction Management of Zhejiang Province, Hangzhou, 310000, China; DIAN Diagnostics, Hangzhou, 310000, China; Department of Pathology and Laboratory of Medicine, University of Rochester Medical Centre, Rochester, NY, 14609, USA; HVP-China, Hangzhou, 310000, China.
| | - Qing Pan
- Department of Ophthalmology, Zhejiang University Medical School First Affiliated Hospital, Hangzhou, 310000, China.
| |
Collapse
|
2
|
Shi X, Chen M, Pan Q, Zhou J, Liu Y, Jiang T, Lin Y, Huang J, Shen X, Lu D, Li Y. Association between dietary patterns and premenstrual disorders: a cross-sectional analysis of 1382 college students in China. Food Funct 2024; 15:4170-4179. [PMID: 38482855 DOI: 10.1039/d3fo05782h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Premenstrual disorders (PMDs) are common among young women and have been linked to metabolic dysfunction. Limited evidence exists regarding the associations between dietary patterns and PMDs. This cross-sectional study involved young female adults recruited from the Care of Premenstrual Emotion (COPE) cohort study in China to examine the relationship between dietary patterns and PMDs in young adulthood. PMDs were assessed using the Calendar of Premenstrual Experiences, and the consumption frequency of 12 common food groups was evaluated using a Food Frequency Questionnaire. We used principal component analysis to identify the dietary patterns and employed logistic regression to investigate the association between dietary pattern adherence and PMDs. The study included 1382 participants, of whom 337 (24.4%) reported having PMDs. Three dietary patterns were identified and named based on regional food preferences: the Traditional North China Diet (TNCD), the Traditional South China Diet (TSCD), and the Lacto-ovo Vegetarian Diet (LVD). The TSCD, characterized by high consumption of rice, red meat, and poultry, showed a significant inverse association with PMDs. This pattern held good for both premenstrual syndrome and premenstrual dysphoric disorder. These findings suggest that targeted dietary modifications could serve as a localized strategy for PMDs prevention.
Collapse
Affiliation(s)
- Xinyi Shi
- Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
| | - Min Chen
- Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
| | - Qing Pan
- Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
| | - Jing Zhou
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Yuqing Liu
- Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
| | - Tingting Jiang
- Youth League Committee (Youth Work Department, Medical and Social Work Office), West China Hospital, Sichuan University, Chengdu, China
| | - Yifei Lin
- Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
| | - Jin Huang
- Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
| | - Xi Shen
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Donghao Lu
- Health Management Center, General Practice Medical Center, Innovation Institute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, China.
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Yuchen Li
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
| |
Collapse
|
3
|
He X, Gao Y, Shen J, Pan Q, Chen J, He Y. Removal of Horizontally Impacted Mandibular Third Molars Using the Three-Piece or T-Shaped Tooth Sectioning Method. J Oral Maxillofac Surg 2024:S0278-2391(24)00218-0. [PMID: 38648861 DOI: 10.1016/j.joms.2024.03.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND The extraction of horizontally impacted mandibular third molars (HM3) can be a complicated surgery. Appropriate tooth sectioning methods can reduce the operation time and postoperative complications. PURPOSE The current study compares operative time and postoperative pain between HM3 removed using the three-piece or T-shaped tooth sectioning techniques. STUDY DESIGN, SETTING, SAMPLE A randomized single-blind prospective clinical trial on HM3 extraction was carried out between June and December 2022 in the Department of Oral and Maxillofacial Surgery, the Affiliated Stomatological Hospital, Southwest Medical University. Patients with local or systemic infection, poor oral hygiene, and systemic disease were excluded. PREDICTOR VARIABLE The predictor variable was the tooth sectioning method. The subjects were randomized to a three-piece or T-shaped group. MAIN OUTCOME VARIABLE(S) The primary outcome variables were the operative time and postoperative pain measured using a visual analog scale (VAS). The secondary outcome variables were the rates of primary bleeding, mouth opening reduction, swelling, patient satisfaction measured using a VAS, and quality of life measured using a postoperative symptom severity scale. COVARIATES The covariates included age, sex, side and classification of HM3, and the relationship of HM3 to the inferior alveolar nerve canal. ANALYSES The data were analyzed using the independent samples t-test, paired t-test, χ2, and rank sum test. A significance level set at P < .05. RESULTS The sample included 60 patients in the three-piece group and 66 patients in the T-shaped group. The operative time of the three-piece group (14.73 ± 3.21 minutes) was shorter than that of the T-shaped group (19.25 ± 4.29 minutes) (P < .05). On days 3 and 7, VAS of pain were 2.24 ± 1.89 and 0.15 ± 0.40 in the three-piece group and 3.95 ± 2.44 and 0.48 ± 0.68 in the T-shaped group (P < .05). The VAS of patient satisfaction in the three-piece group (6.05 ± 1.29) was better than the T-shaped group (4.90 ± 1.05) on day 7 (P < .05). CONCLUSION AND RELEVANCE The three-piece tooth sectioning for HM3 removal was associated with shorter duration, slighter postoperative symptoms, and higher patient satisfaction and may be considered as a recommended practice for dentists.
Collapse
Affiliation(s)
- Xianyi He
- Department of Oral and Maxillofacial Surgery, the Affiliated Stomatological Hospital, Southwest Medical University, Luzhou, China; Oral and Maxillofacial Reconstruction and Regeneration of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Yichen Gao
- Department of Oral and Maxillofacial Surgery, the Affiliated Stomatological Hospital, Southwest Medical University, Luzhou, China; Oral and Maxillofacial Reconstruction and Regeneration of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Jie Shen
- Department of Oral and Maxillofacial Surgery, the Affiliated Stomatological Hospital, Southwest Medical University, Luzhou, China; Oral and Maxillofacial Reconstruction and Regeneration of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Qing Pan
- Medical Device Regulatory Research and Evaluation Center West China Hospital, Sichuan University, Chengdu, China
| | - Junliang Chen
- Department of Oral and Maxillofacial Surgery, the Affiliated Stomatological Hospital, Southwest Medical University, Luzhou, China; Oral and Maxillofacial Reconstruction and Regeneration of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Yun He
- Department of Oral and Maxillofacial Surgery, the Affiliated Stomatological Hospital, Southwest Medical University, Luzhou, China; Oral and Maxillofacial Reconstruction and Regeneration of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China.
| |
Collapse
|
4
|
Cheng C, Yu X, Shi K, Dai G, Pan Q, Yuan G, Jia J. Associations between abdominal obesity indices with hypertension in type 2 diabetes mellitus: Chinese visceral adiposity index. J Endocrinol Invest 2024; 47:547-555. [PMID: 37768525 DOI: 10.1007/s40618-023-02165-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 07/14/2023] [Indexed: 09/29/2023]
Abstract
PURPOSE This research was performed to evaluate the relationship between hypertension (HTN) and abdominal obesity index in patients with type 2 diabetes mellitus (T2DM). METHODS Totally 1657 participants with T2DM (mean age 54 ± 12 years; 38.02% female) were enrolled. They were divided into the groups of HTN (n = 775) and non-HTN (n = 882). Anthropometric and biochemical indicators were measured and collected. A bioelectrical impedance analyzer was used to measure visceral and subcutaneous fat areas. RESULTS Compared with the HTN group, the non-HTN group had a lower level of Chinese visceral adiposity index (CVAI) (p < 0.001). Meanwhile, among tertiles of CVAI, as CVAI increased, the proportion of patients with HTN increased, which was 33.51%, 44.30%, and 62.50%, respectively. CVAI was shown to have a significant positive correlation with HTN. (r = 0.258, p < 0.001). CVAI was independently related to an elevated risk of HTN by binary logistic regression analyses, and the OR was (95% CI) 1.013 (1.010-1.016, p < 0.001) after adjustment. The area under the receiver operating characteristic curve (AUC) of CVAI predicted HTN in T2DM patients was greater than those of other abdominal obesity indices (p < 0.001). CONCLUSION We found that CVAI was highly positively correlated with HTN in T2DM. Compared with other indices of abdominal obesity, such as WC, BMI, WHR, VAI, and LAP, the CVAI showed superior discriminative ability in T2DM complicated with HTN. Therefore, more attention should be paid to CVAI in T2DM.
Collapse
Affiliation(s)
- C Cheng
- Department of Endocrinology and Metabolism, Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang, China
| | - X Yu
- Department of Endocrinology and Metabolism, Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang, China
| | - K Shi
- Department of Endocrinology and Metabolism, Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang, China
| | - G Dai
- Department of Endocrinology and Metabolism, Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang, China
| | - Q Pan
- Department of Endocrinology and Metabolism, Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang, China
| | - G Yuan
- Department of Endocrinology and Metabolism, Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang, China.
| | - J Jia
- Department of Endocrinology and Metabolism, Affiliated Hospital of Jiangsu University, Institute of Endocrine and Metabolic Diseases, Jiangsu University, Zhenjiang, China.
| |
Collapse
|
5
|
Zheng C, Ji C, Wang B, Zhang J, He Q, Ma J, Yang Z, Pan Q, Sun L, Sun N, Ling C, Lin G, Deng X, Yin L. Construction of prediction model for fetal growth restriction during first trimester in an Asian population. Ultrasound Obstet Gynecol 2024; 63:321-330. [PMID: 37902789 DOI: 10.1002/uog.27522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 10/15/2023] [Accepted: 10/19/2023] [Indexed: 10/31/2023]
Abstract
OBJECTIVE To construct a prediction model for fetal growth restriction (FGR) during the first trimester of pregnancy and evaluate its screening performance. METHODS This was a prospective cohort study of singleton pregnancies that underwent routine ultrasound screening at 11 to 13 + 6 weeks at the Affiliated Suzhou Hospital of Nanjing Medical University between January 2019 and April 2022. Basic clinical information, ultrasound indicators and serum biomarkers of pregnant women were collected. Fetal weight assessment was based on the fetal growth curve for the Southern Chinese population. FGR was diagnosed according to Delphi consensus criteria. Least absolute shrinkage and selection operator (lasso) regression was used to select variables for inclusion in the model. Discrimination, calibration and clinical effectiveness of the model were evaluated in training and validation cohorts. RESULTS A total of 1188 pregnant women were included, of whom 108 had FGR. Lasso regression identified seven predictive features, including history of maternal hypertension, maternal smoking or passive smoking, gravidity, uterine artery pulsatility index, ductus venosus pulsatility index and multiples of the median values of placental growth factor and soluble fms-like tyrosine kinase-1. The nomogram prediction model constructed from these seven variables accurately predicted FGR, and the area under the receiver-operating-characteristics curve in the validation cohort was 0.82 (95% CI, 0.74-0.90). The calibration curve and Hosmer-Lemeshow test demonstrated good calibration, and the clinical decision curve and clinical impact curve supported its practical value in a clinical setting. CONCLUSION The multi-index prediction model for FGR has good predictive value during the first trimester. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
Collapse
Affiliation(s)
- C Zheng
- Center for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
- Department of Ultrasound, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, China
| | - C Ji
- Center for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - B Wang
- Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - J Zhang
- Center for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - Q He
- Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - J Ma
- Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - Z Yang
- Center for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - Q Pan
- Center for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - L Sun
- Center for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - N Sun
- Center for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - C Ling
- Center for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - G Lin
- Department of Obstetrics, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, China
| | - X Deng
- Center for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - L Yin
- Center for Medical Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| |
Collapse
|
6
|
Farooq F, Smith ER, Pan Q, Glass Baumann S, Akelo V, Jehan F, Kasaro M, Nisar I, Ouma G, Vwalika B, Spelke MB, Price JT, Hoodbhoy Z. Comparison of Masimo Total Hemoglobin SpHb® continuous non-invasive hemoglobin monitoring device with laboratory complete blood count measurement using venous sample: Protocol for an observational substudy of the Pregnancy Risk and Infant Surveillance and Measurement Alliance Maternal and Newborn Health (PRISMA MNH) study. Gates Open Res 2024; 7:50. [PMID: 37868333 PMCID: PMC10587393 DOI: 10.12688/gatesopenres.14499.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/06/2024] [Indexed: 10/24/2023] Open
Abstract
Background The Masimo Total Hemoglobin SpHb® is a continuous and non-invasive handheld device to measure hemoglobin levels. Previous research has found that SpHb is able to accurately detect hemoglobin levels in adult patients with a similar degree of bias and standard deviation to point-of-care invasive method measurements. Generally, limited clinical evidence, lack of validation of Masimo at higher than and lower than hemoglobin threshold values, and scientific consensus supporting the use of Masimo for accurate hemoglobin testing for the diagnosis of anemia during pregnancy calls for further research. Methods and analysis The proposed prospective cohort will be nested within the ongoing Pregnancy Risk and Infant Surveillance and Measurement Alliance (PRISMA) Maternal and Newborn Health (MNH) study. Three study sites (located in Zambia, Kenya, and Pakistan) will participate and collect hemoglobin data at five time points (<20 weeks, 20 weeks, 28 weeks, 36 weeks' gestation, and six weeks postpartum). We will measure hemoglobin using a venous blood sample via hematology auto-analyzer complete blood count (gold standard) and the non-invasive device. The primary objective is to assess agreement between Masimo total hemoglobin and complete blood count and on a continuous scale using Intraclass Correlation Coefficient and Bland-Altman Analysis. The second objective is to assess agreement between the two measures on a binary scale using Positive Percentage Agreement and Negative Percentage Agreement, Cohen's Kappa, and McNemar Test. On an ordinal scale, agreement will be measured using Weighted Cohen's Kappa and Harrel's Concordance Index. Lastly, we will assess factors that might affect the accuracy of Masimo total hemoglobin using linear mixed models. Conclusions The primary aim of this study is to assess the validity of the non-invasive Masimo device compared to the gold standard method of invasive hemoglobin measurements during pregnancy and postpartum periods for the diagnosis of anemia.
Collapse
Affiliation(s)
- Fouzia Farooq
- Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, 20052, USA
| | - Emily R. Smith
- Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, 20052, USA
| | - Qing Pan
- Department of Statistics, Columbian College of Arts & Sciences, George Washington University, Washington, DC, 20052, USA
| | - Sasha Glass Baumann
- Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, 20052, USA
| | - Victor Akelo
- Centers for Disease Controls and Prevention - Kenya, Kisumu, Kenya
| | - Fyezah Jehan
- Aga Khan University Hospital, Karachi, Karachi, Sindh, Pakistan
| | - Margaret Kasaro
- UNC Global Projects Zambia, Lusaka, Zambia
- School of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Imran Nisar
- Aga Khan University Hospital, Karachi, Karachi, Sindh, Pakistan
| | - Gregory Ouma
- Centre for Global Health Research (CGHR), Kenya Medical Research Institute, Kisumu, Kenya
| | | | - M. Bridget Spelke
- UNC Global Projects Zambia, Lusaka, Zambia
- School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, NC 27599, USA
| | - Joan T. Price
- UNC Global Projects Zambia, Lusaka, Zambia
- School of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Zahra Hoodbhoy
- Aga Khan University Hospital, Karachi, Karachi, Sindh, Pakistan
| |
Collapse
|
7
|
Yin HM, Pan Q, Chow KW. Triad resonance for internal waves in a uniformly stratified fluid: Rogue waves and breathers. Phys Rev E 2024; 109:024204. [PMID: 38491589 DOI: 10.1103/physreve.109.024204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 01/11/2024] [Indexed: 03/18/2024]
Abstract
Three-wave (triad) resonance in a uniformly stratified fluid is investigated as a case study of energy transfer among oscillatory modes. The existence of a degenerate triad is demonstrated explicitly, where two components have identical group velocity. An illuminating example is a resonance involving waves from modes 1, 3, 5 families, but many other combinations are possible. The physical applications and nonlinear dynamics of rogue waves derived analytically in the literature are examined. Exact solutions with four free parameters (two related to the amplitudes of the background plane waves, two related to the frequencies of slowly varying envelopes) describe motions localized in both space and time. The differences between rogue waves of the degenerate versus the nondegenerate cases are highlighted. The phase and profile of the degenerate case rogue waves are correlated. The volume or energy of the rogue wave (defined as the total extent or energy contents of the fluid set in motion for the duration of the rogue wave) may change drastically, if the wave envelope parameters vary. Pulsating modes (breathers) have been studied previously by layered-fluid and modified Korteweg-de Vries models. Here we extend the consideration to stratified fluids but for the simpler case of nondegenerate triads. Instabilities of fission and fusion of breathers are confirmed computationally with Floquet analysis. This knowledge should prove useful for energy transfer processes in the oceans.
Collapse
Affiliation(s)
- H M Yin
- Department of Mechanical Engineering, University of Hong Kong, Pokfulam, Hong Kong
| | - Q Pan
- Department of Mechanical Engineering, University of Hong Kong, Pokfulam, Hong Kong
| | - K W Chow
- Department of Mechanical Engineering, University of Hong Kong, Pokfulam, Hong Kong
| |
Collapse
|
8
|
Yang W, Li K, Pan Q, Huang W, Xiao Y, Lin H, Liu S, Chen X, Lv X, Feng S, Shao Z, Qing X, Peng Y. An Engineered Bionic Nanoparticle Sponge as a Cytokine Trap and Reactive Oxygen Species Scavenger to Relieve Disc Degeneration and Discogenic Pain. ACS Nano 2024; 18:3053-3072. [PMID: 38237054 PMCID: PMC10832058 DOI: 10.1021/acsnano.3c08097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 12/28/2023] [Accepted: 01/03/2024] [Indexed: 01/24/2024]
Abstract
The progressive worsening of disc degeneration and related nonspecific back pain are prominent clinical issues that cause a tremendous economic burden. Activation of reactive oxygen species (ROS) related inflammation is a primary pathophysiologic change in degenerative disc lesions. This pathological state is associated with M1 macrophages, apoptosis of nucleus pulposus cells (NPC), and the ingrowth of pain-related sensory nerves. To address the pathological issues of disc degeneration and discogenic pain, we developed MnO2@TMNP, a nanomaterial that encapsulated MnO2 nanoparticles with a TrkA-overexpressed macrophage cell membrane (TMNP). Consequently, this engineered nanomaterial showed high efficiency in binding various inflammatory factors and nerve growth factors, which inhibited inflammation-induced NPC apoptosis, matrix degradation, and nerve ingrowth. Furthermore, the macrophage cell membrane provided specific targeting to macrophages for the delivery of MnO2 nanoparticles. MnO2 nanoparticles in macrophages effectively scavenged intracellular ROS and prevented M1 polarization. Supportively, we found that MnO2@TMNP prevented disc inflammation and promoted matrix regeneration, leading to downregulated disc degenerative grades in the rat injured disc model. Both mechanical and thermal hyperalgesia were alleviated by MnO2@TMNP, which was attributed to the reduced calcitonin gene-related peptide (CGRP) and substance P expression in the dorsal root ganglion and the downregulated Glial Fibrillary Acidic Protein (GFAP) and Fos Proto-Oncogene (c-FOS) signaling in the spinal cord. We confirmed that the MnO2@TMNP nanomaterial alleviated the inflammatory immune microenvironment of intervertebral discs and the progression of disc degeneration, resulting in relieved discogenic pain.
Collapse
Affiliation(s)
- Wenbo Yang
- Department
of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, People’s Republic of China
| | - Kanglu Li
- Department
of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, People’s Republic of China
| | - Qing Pan
- Department
of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, People’s Republic of China
| | - Wei Huang
- Department
of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, People’s Republic of China
| | - Yan Xiao
- Department
of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, People’s Republic of China
| | - Hui Lin
- Department
of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, People’s Republic of China
| | - Sheng Liu
- Department
of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, People’s Republic of China
| | - Xuanzuo Chen
- Department
of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, People’s Republic of China
| | - Xiao Lv
- Department
of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, People’s Republic of China
| | - Shiqing Feng
- The
Second Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, People’s Republic
of China
- Department
of Orthopaedics, Tianjin Medical University General Hospital, Tianjin
Medical University, International Science and Technology Cooperation
Base of Spinal Cord Injury, Tianjin Key
Laboratory of Spine and Spinal Cord, Tianjin 300052, People’s Republic of China
- Department
of Orthopaedics, Qilu Hospital of Shandong University, Shandong University
Centre for Orthopaedics, Advanced Medical Research Institute, Cheeloo
College of Medicine, Shandong University, Jinan, Shandong 250012, People’s
Republic of China
| | - Zengwu Shao
- Department
of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, People’s Republic of China
| | - Xiangcheng Qing
- Department
of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, People’s Republic of China
| | - Yizhong Peng
- Department
of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, People’s Republic of China
| |
Collapse
|
9
|
Chen X, Yan Z, Pan Q, Zhang C, Chen Y, Liang X, Li S, Wu G. Bibliometric analysis of mucosal immunity in IgA nephropathy from 1990 to 2022. Immun Inflamm Dis 2024; 12:e1156. [PMID: 38270317 PMCID: PMC10807354 DOI: 10.1002/iid3.1156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 12/23/2023] [Accepted: 01/03/2024] [Indexed: 01/26/2024] Open
Abstract
OBJECTIVE The study aimed to conduct a bibliometric analysis of mucosal immunity in IgA nephropathy (IgAN) and indicate its current status, hot sopts, and direction of future studies. METHODS The literature data was collected from the Web of Science Core Collection. CiteSpace 6.1.R3 was employed to conduct a visualization bibliometric analysis of mucosal immunity in IgA nephropathy, including authors, countries, journals, keywords, organizations, references, the bursts of keywords and references, and the timeline of keyword clusters and reference clusters. RESULTS A total of 315 publications from 1990 to 2022 were included. The number of articles in this field has increased in recent years. Suzuki H, Coppo R, and Feehally J took the first place parallelly with 18 articles. Japan contributes the most articles, accounting for 27.3% of all the publications. The institutions with the most publications were Juntendo University and University of Alabama Birmingham. 453 keywords were concluded in the analysis, which mainly focus on the mucosal pathogenesis and therapy of the IgAN. The top five co-cited reference cluster are "aberrantly glycosylated IgA," "corticosteroids," "animal models," "o-glycosylationm" and "microRNA-630." The most recently burst of keyword is "tonsillectomy" and "gut." CONCLUSION This was the first bibliometric analysis to systematically analyze the mucosal immunity in IgAN, which obtained the current status and indicated the future research hotspots and development trends. The gut microbiota and the related therapy-targeted mucosal immunity might be the future research hotspot.
Collapse
Affiliation(s)
- Xian Chen
- Department of NephrologyThe Second Hospital of Hebei Medical UniversityShijiazhuangChina
| | - Zhe Yan
- Department of NephrologyThe Second Hospital of Hebei Medical UniversityShijiazhuangChina
| | - Qing Pan
- Department of NephrologyThe Second Hospital of Hebei Medical UniversityShijiazhuangChina
| | - Chunxia Zhang
- Department of NephrologyThe Second Hospital of Hebei Medical UniversityShijiazhuangChina
| | - Yakun Chen
- Department of NephrologyThe Second Hospital of Hebei Medical UniversityShijiazhuangChina
| | - Xuzhi Liang
- Department of NephrologyThe Second Hospital of Hebei Medical UniversityShijiazhuangChina
| | - Shaomei Li
- Department of NephrologyThe Second Hospital of Hebei Medical UniversityShijiazhuangChina
| | - Gang Wu
- Renal Division, The Affiliated Suzhou Hospital of Nanjing Medical UniversitySuzhou Municipal HospitalSuzhouChina
| |
Collapse
|
10
|
Zhou H, Liang X, Tan K, Guo Y, Zhao X, Chen G, Guo B, Li S, Feng S, Pan Q, Li T, Pan J, Ma B, Gao Y, Guan H, Zhang X, Baima Y, Xie L, Zhang J. Mediation of metabolic syndrome in the association between long-term exposure to particulate matter and incident cardiovascular disease: Evidence from a population-based cohort in Chengdu. Ecotoxicol Environ Saf 2024; 269:115827. [PMID: 38100852 DOI: 10.1016/j.ecoenv.2023.115827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 12/09/2023] [Accepted: 12/11/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Particulate matter (PM) exposure has been linked with cardiovascular disease (CVD) and metabolic syndrome (MetS), the latter characterized by concurrent multiple metabolic disorders. As a result, the mechanisms assumption from PM to CVD through MetS have emerged, thus requiring further epidemiological evidence. This cohort study aimed to assess whether MetS mediates the associations of PM with CVD risk. METHODS This study included 14,195 participants from the Chengdu cohort of the China Multi-Ethnic Cohort (CMEC) study in 2018. The primary outcome of incident CVD diagnoses was identified using matched hospital records from the Health Information Center of Sichuan Province. Residence-specific levels of PM with aerodynamic diameters of ≤ 1 µm (PM1), ≤ 2.5 µm (PM2.5), and ≤ 10 µm (PM10) were estimated by spatiotemporal models. Causal mediation analyses were applied to evaluate the indirect effect of MetS. RESULTS Increased exposure levels to PM were significantly associated with MetS and CVD. Mediation analyses indicated that the associations between PM exposure and CVD were mediated by MetS, with the proportion of multiple mediations being 19.3%, 12.1%, and 13.5% for PM1, PM2.5, and PM10, respectively. Further moderated mediation analyses suggested that male, overweight individuals, alcohol drinkers, and those suffering from indoor air pollution may experience more significant adverse effects from PM exposure on CVD via MetS than others. CONCLUSIONS Our findings suggest that MetS partially mediates the association between long-term exposure to PM and CVD. These mediation effects appear to be amplified by demographic characteristics and unhealthy lifestyles.
Collapse
Affiliation(s)
- Hanwen Zhou
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Xian Liang
- Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan 610041, China
| | - Kun Tan
- Health information center of Sichuan Province, Chengdu, Sichuan 610041, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne VIC 3004, Australia
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne VIC 3004, Australia
| | - Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne VIC 3004, Australia
| | - Shiyu Feng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Qing Pan
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Tian Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Jingping Pan
- Health information center of Sichuan Province, Chengdu, Sichuan 610041, China
| | - Bangjing Ma
- Qingbaijiang District Center for Disease Control and Prevention of Chengdu, Chengdu, Sichuan 610399, China
| | - Yang Gao
- Chongqing Center for Disease Control and Prevention, Chongqing 400042, China
| | - Han Guan
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou 550025, China
| | - Xuehui Zhang
- School of Public Health, Kunming Medical University, Kunming, Yunnan 650500, China
| | - Yangji Baima
- School of Medicine, Tibet University, Tibet 850000, China
| | - Linshen Xie
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
| | - Juying Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
| |
Collapse
|
11
|
Shen W, Jiang Y, Xu Y, Qian X, Jia J, Ding Y, He Y, Pan Q, Zhuang J, Ge H, Xu P. Cellular senescence contributes to mechanical ventilation-induced diaphragm dysfunction by upregulating p53 signalling pathways. BMC Pulm Med 2023; 23:509. [PMID: 38097957 PMCID: PMC10722656 DOI: 10.1186/s12890-023-02662-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 09/15/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Mechanical ventilation can cause acute atrophy and injury in the diaphragm, which are related to adverse clinical results. However, the underlying mechanisms of ventilation-induced diaphragm dysfunction (VIDD) have not been well elucidated. The current study aimed to explore the role of cellular senescence in VIDD. METHODS A total of twelve New Zealand rabbits were randomly divided into 2 groups: (1) spontaneously breathing anaesthetized animals (the CON group) and (2) mechanically ventilated animals (for 48 h) in V-ACV mode (the MV group). Respiratory parameters were collected during ventilation. Diaphragm were collected for further analyses. RESULTS Compared to those in the CON group, the percentage and density of sarcomere disruption in the MV group were much higher (p < 0.001, both). The mRNA expression of MAFbx and MuRF1 was upregulated in the MV group (p = 0.003 and p = 0.006, respectively). Compared to that in the CON group, the expression of MAFbx and MuRF1 detected by western blotting was also upregulated (p = 0.02 and p = 0.03, respectively). Moreover, RNA-seq showed that genes associated with senescence were remarkably enriched in the MV group. The mRNA expression of related genes was further verified by q-PCR (Pai1: p = 0.009; MMP9: p = 0.008). Transverse cross-sections of diaphragm myofibrils in the MV group showed more intensive positive staining of SA-βGal than those in the CON group. p53-p21 axis signalling was elevated in the MV group. The mRNA expression of p53 and p21 was significantly upregulated (p = 0.02 and p = 0.05, respectively). The western blot results also showed upregulation of p53 and p21 protein expression (p = 0.03 and p = 0.05, respectively). Moreover, the p21-positive staining in immunofluorescence and immunohistochemistry in the MV group was much more intense than that in the CON group (p < 0.001, both). CONCLUSIONS In a rabbit model, we demonstrated that mechanical ventilation in A/C mode for 48 h can still significantly induce ultrastructural damage and atrophy of the diaphragm. Moreover, p53-dependent senescence might play a role in mechanical ventilation-induced dysfunction. These findings might provide novel therapeutic targets for VIDD.
Collapse
Affiliation(s)
- Weimin Shen
- Department of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016, China
| | - Ye Jiang
- Department of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016, China
| | - Ying Xu
- Department of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016, China
| | - Xiaoli Qian
- Department of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016, China
| | - Jianwei Jia
- Department of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016, China
| | - Yuejia Ding
- Department of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016, China
| | - Yuhan He
- Department of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016, China
| | - Qing Pan
- College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310023, China
| | - Jinyang Zhuang
- Huashan Hospital affiliated to Fudan University, Shanghai, 200040, China
| | - Huiqing Ge
- Department of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016, China.
| | - Peifeng Xu
- Department of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016, China.
| |
Collapse
|
12
|
Yang JR, Lu YB, Su HX, Xiao Y, Pan Q, Su F, Zhang XB, Zhu KL, Guan QL, Ling XL. USP10 promotes the progression of triple-negative breast cancer by enhancing the stability of TCF4 protein. Biochem Pharmacol 2023; 218:115864. [PMID: 37863330 DOI: 10.1016/j.bcp.2023.115864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 10/15/2023] [Accepted: 10/17/2023] [Indexed: 10/22/2023]
Abstract
Investigating the role of ubiquitin-specific peptidase 10 (USP10) in triple-negative breast cancer (TNBC). Analyzed USP10 expression levels in tumors using public databases. Detected USP10 mRNA and protein levels in cell lines. Examined USP10 expression in tumor tissues from breast cancer patients. Conducted USP10 knockdown experiments and analyzed changes in cell proliferation and metastasis. Confirmed protein-protein interactions with USP10 through mass spectrometry, Co-IP, and fluorescence experiments. Assessed impact of USP10 on transcription factor 4 (TCF4) ubiquitination and validated TCF4's influence on TNBC cells. We initially identified a pronounced overexpression of USP10 across multiple tumor types, including TNBC. Subsequently, we observed a conspicuous upregulation of USP10 expression levels in breast cancer cell lines compared to normal breast epithelial cells. However, upon subsequent depletion of USP10 within cellular contexts, we noted a substantial attenuation of malignant proliferation and metastatic potential in TNBC cells. In subsequent experimental analyses, we elucidated the physical interaction between USP10 and the transcription factor TCF4, whereby USP10 facilitated the deubiquitination modification of TCF4, consequently promoting its protein stability and contributing to the initiation and progression of TNBC. Collectively, this study demonstrates that USP10 facilitated the deubiquitination modification of TCF4, consequently promoting its protein stability and contributing to the initiation and progression of TNBC.
Collapse
Affiliation(s)
- Jing-Ru Yang
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou 730013, Gansu, PR China; The First Clinical Medical College of Lanzhou University, Lanzhou 730099, Gansu, PR China
| | - Yong-Bin Lu
- The First Clinical Medical College of Lanzhou University, Lanzhou 730099, Gansu, PR China; Scientific Development and Planing Department, The First Hospital of Lanzhou University, Lanzhou 730013, Gansu, PR China
| | - Hong-Xin Su
- Department of Radiotherapy, The First Hospital of Lanzhou University, Lanzhou 730013, Gansu, PR China
| | - Yi Xiao
- The First Clinical Medical College of Lanzhou University, Lanzhou 730099, Gansu, PR China; Breast Surgery, The First Hospital of Lanzhou University, Lanzhou 730013, Gansu, PR China
| | - Qing Pan
- Breast Surgery, The First Hospital of Lanzhou University, Lanzhou 730013, Gansu, PR China
| | - Fei Su
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou 730013, Gansu, PR China; The First Clinical Medical College of Lanzhou University, Lanzhou 730099, Gansu, PR China
| | - Xiao-Bin Zhang
- Breast Surgery, The First Hospital of Lanzhou University, Lanzhou 730013, Gansu, PR China
| | - Kai-Li Zhu
- The First Clinical Medical College of Lanzhou University, Lanzhou 730099, Gansu, PR China
| | - Quan-Lin Guan
- The First Clinical Medical College of Lanzhou University, Lanzhou 730099, Gansu, PR China; Department of Oncology Surgery, The First Hospital of Lanzhou University, Lanzhou 730013, Gansu, PR China.
| | - Xiao-Ling Ling
- Department of Oncology, The First Hospital of Lanzhou University, Lanzhou 730013, Gansu, PR China; The First Clinical Medical College of Lanzhou University, Lanzhou 730099, Gansu, PR China.
| |
Collapse
|
13
|
Wu J, Lin C, Du Y, Fan SJ, Pan L, Pan Q, Cao K, Wang N. Macular thickness and its associated factors in a Chinese rural adult population: the Handan Eye Study. Br J Ophthalmol 2023; 107:1864-1872. [PMID: 36162970 DOI: 10.1136/bjo-2022-321766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 09/04/2022] [Indexed: 11/04/2022]
Abstract
PURPOSE To describe the normal macular thickness and assess its associations. METHODS The Handan Eye Follow-up Study was conducted between 2012 and 2013. Macular thickness was scanned by spectral-domain optical coherence tomography (OCT). The built-in software generated a retinal thickness (RT) map, which was divided into three regions (central, internal and external regions) and nine quadrants (one in central and four in internal and external regions each). RESULTS For 5394 subjects in the Handan Eye Follow-up Study, 4793 received OCT examination, 2946 of whom (accounting for 61.46% of the total subjects, mean age 58.91±10.95, 55.6% were women) were included for analysis. The mean RT in central macula, inner and outer rings were (237.38 µm±23.05 µm), (309.77 µm±18.36 µm) and (278.29 µm±14.38 µm), respectively (overall difference, p<0.001). In inner ring, the RT in temporal was thinnest, followed by nasal, superior and inferior. In outer ring, the RT in superior was thinnest, with the next subfields being temporal, inferior and nasal, respectively. The RT in central macula, inner and outer rings were significantly thicker in men than in women. Multivariate linear regression analysis showed that in central macula, RT increased in subjects younger than 60 years and thinned above the age of 60. In inner and outer rings, RT thinned along with age (p<0.001). CONCLUSIONS This study finds that RT in central macula is the thinnest, followed by the outer ring, the RT in the inner ring is the thickest. Age and gender are related to RT. These associated factors need to be considered when explaining RT.
Collapse
Affiliation(s)
- Jian Wu
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Science Key Lab, Beijing, Beijing, China
- Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, Stanford, California, USA
| | - Caixia Lin
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Science Key Lab, Beijing, Beijing, China
| | - Yifan Du
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Science Key Lab, Beijing, Beijing, China
| | - Su Jie Fan
- Department of Ophthalmology, Handan City Eye Hospital, Handan, Hebei, China
| | - Lijie Pan
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Science Key Lab, Beijing, Beijing, China
| | - Qing Pan
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Kai Cao
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Science Key Lab, Beijing, Beijing, China
| | - Ningli Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Science Key Lab, Beijing, Beijing, China
| |
Collapse
|
14
|
Ji K, Yao Y, Gao Y, Huang S, Ma L, Pan Q, Wu J, Zhang W, Chen H, Zhang L. Evaluating the cytotoxicity mechanism of the cell-penetrating peptide TP10 on Jurkat cells. Biochimie 2023:S0300-9084(23)00293-6. [PMID: 37922978 DOI: 10.1016/j.biochi.2023.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 10/27/2023] [Accepted: 11/01/2023] [Indexed: 11/07/2023]
Abstract
TP10, a classic cell-penetrating peptide, shows a high degree of similarity to AMPs in structure. Although TP10 has been widely used in drug delivery, the mechanism underlying its cytotoxicity is yet to be elucidated. Herein, we explored the cell-killing mechanism of TP10 against human leukemia Jurkat cells. TP10 induced necrosis in Jurkat cells via rapid disruption of cell membranes, particularly at high concentrations. Although mitochondria in Jurkat cells were damaged by TP10, mitochondria-mediated apoptosis did not occur, possibly due to intracellular ATP depletion. Necroptosis in TP10-treated Jurkat cells became an alternative route of apoptosis. Our results demonstrate that necrosis and necroptosis rather than apoptosis are involved in the cell-killing mechanism of TP10, which contributes to the understanding of its toxicity.
Collapse
Affiliation(s)
- Kun Ji
- The First Hospital, The First Clinical Medical College, Lanzhou University, Lanzhou, 730000, China
| | - Yufan Yao
- School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Yuxuan Gao
- School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Sujie Huang
- School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Ling Ma
- School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Qing Pan
- The First Hospital, The First Clinical Medical College, Lanzhou University, Lanzhou, 730000, China
| | - Jun Wu
- The First Hospital, The First Clinical Medical College, Lanzhou University, Lanzhou, 730000, China
| | - Wei Zhang
- School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China; State Key Laboratory of Veterinary Etiological Biology, College of Veterinary Medicine, Lanzhou University, Lanzhou, 730000, China.
| | - Hongmei Chen
- School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China.
| | - Lei Zhang
- The First Hospital, The First Clinical Medical College, Lanzhou University, Lanzhou, 730000, China.
| |
Collapse
|
15
|
Cao H, Wang K, Pan Q, Li C. Analysis of the Macular Region Following Panretinal Photocoagulation for the Treatment of Diabetic Retinopathy Using Optical Coherence Tomography. Altern Ther Health Med 2023; 29:324-328. [PMID: 37632956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/28/2023]
Abstract
Background Diabetic retinopathy (DR) is the most prevalent microvascular complication of diabetes. Panretinal photocoagulation (PRP) is the established treatment for mitigating severe visual impairment resulting from proliferative DR. Objective This study aims to investigate the impact of PRP on the macular region in patients with DR, utilizing optical coherence tomography (OCT) for assessment. Design An experimental study was meticulously designed, implementing PRP as the primary intervention. Setting The investigation was conducted within the Department of Ophthalmology at the Affiliated Huaian No.1 People's Hospital, Huai'an, Jiangsu, China. Participants A total of 120 participants diagnosed with DR and undergoing treatment at our hospital were enrolled in the study. Interventions The participants were randomly assigned to either the control group (CG, n = 60) or the study group (SG, n = 60). The CG received conventional drug treatment involving oral iodized lecithin, while the SG received PRP. OCT was employed to monitor changes in macular fovea volume and macular retinal thickness. Primary Outcome Measures Evaluation criteria encompassed clinical efficacy, macular fovea volume, macular retinal thickness, IL-6 and VEGF levels, incidence of adverse reactions, and quality of life in both groups. Results The study resulted in a higher total effective rate in the SG (96.67%) compared to the CG (80.00%) (χ2 = 8.09, P < .05). Post-treatment, reductions were observed in macular fovea volume and macular retinal thickness, with significantly lower SG values than CG values (P < .05). Both serum IL-6 and VEGF levels exhibited reductions in both groups after treatment, with the SG displaying a more significant decrease compared to the CG (P < .05). The occurrence of adverse reactions significantly decreased in the SG relative to the CG (P < .05). Quality of life scores for the SG was notably elevated compared to the CG (P < .05). Conclusions PRP emerges as a highly valuable approach in the management of DR. It contributes to retinal thickness improvement within the macular region and inflammation reduction, and also enhances therapeutic outcomes, minimizes adverse reactions, and optimizes patients' quality of life. These findings warrant further clinical adoption and widespread promotion.
Collapse
|
16
|
Wang M, Cai T, Guan H, Yang Y, Da C, Pan Q. Competence in managing workplace violence among nursing interns: Application of latent class analysis. Nurse Educ Pract 2023; 73:103850. [PMID: 37995448 DOI: 10.1016/j.nepr.2023.103850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 11/01/2023] [Accepted: 11/16/2023] [Indexed: 11/25/2023]
Abstract
AIM To identify subtypes of competence in managing workplace violence (WPV) among nursing interns and to assess between-group differences. BACKGROUND Nursing interns are reported to be a vulnerable population for experiencing workplace violence during their clinical placement. Although WPV could have a negative impact on nursing interns' health and attitudes towards the nursing profession, little is known about nursing interns' competence in workplace violence management or its influencing factors. DESIGN A cross-sectional study. METHODS Between March to April 2023, nursing interns at three tertiary general hospitals in Anhui Province, China, completed questionnaires including a general information questionnaire, the Management of Workplace Violence Competence Scale (MWVCS), the Utrecht Work Engagement Scale (UWES-9), the Emotional Labour Scale for Nurses (ELSN) and were classified into subtypes by latent class analysis. Subsequently, univariate analysis and multivariate logistic regression were performed to identify the influencing factors by subtypes. RESULTS A total of 264 questionnaires were valid and the overall mean age of the participants was 21.06 ±1.41 years. Four classes were identified: low competency group (15.5%), low cognition-low coping competency group (18.2%), low cognition-medium to high competency group (21.6%) and high competency group (44.7%). The results of multinomial logistic regression analysis showed that placement hospitals with a WPV management department, emotional control effort in profession dimension and emotional pretense by norms dimension in the Emotional Labour Scale for Nurses, pursuing further education and vigour dimension in the Utrecht Work Engagement Scale were influencing factors of the potential categories of WPV management competence. CONCLUSIONS Four classes were identified and there was competence variability among nursing interns. More attention should be given to nursing interns who did not receive WPV-related training in their school or placement hospital.
Collapse
Affiliation(s)
- Miao Wang
- School of Nursing, WanNan Medical College, Anhui, China
| | - Tingting Cai
- School of Nursing, Fudan University, Shanghai, China.
| | - Hui Guan
- Department of Nursing, West Anhui Health Vocational College, Anhui, China
| | - Yan Yang
- Nursing Department Office, Anqing Municipal Hospital, Anhui, China
| | - Chaojin Da
- Department of Nursing, School of Clinical Nursing, Gansu Health Vocational College, Gansu, China
| | - Qing Pan
- School of Nursing, WanNan Medical College, Anhui, China
| |
Collapse
|
17
|
Xu Z, Guo W, Mo B, Pan Q, Lu J, Wang Z, Peng X, Zhang Z. Mitogen-activated protein kinase 2 specifically regulates photorespiration in rice. Plant Physiol 2023; 193:1381-1394. [PMID: 37437116 DOI: 10.1093/plphys/kiad413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 06/22/2023] [Accepted: 06/22/2023] [Indexed: 07/14/2023]
Abstract
Photorespiration begins with the oxygenation reaction catalyzed by Rubisco and is the second highest metabolic flux in plants after photosynthesis. Although the core biochemical pathway of photorespiration has been well characterized, little is known about the underlying regulatory mechanisms. Some rate-limiting regulation of photorespiration has been suggested to occur at both the transcriptional and posttranslational levels, but experimental evidence is scarce. Here, we found that mitogen-activated protein kinase 2 (MAPK2) interacts with photorespiratory glycolate oxidase and hydroxypyruvate reductase, and the activities of these photorespiratory enzymes were regulated via phosphorylation modifications in rice (Oryza sativa L.). Gas exchange measurements revealed that the photorespiration rate decreased in rice mapk2 mutants under normal growth conditions, without disturbing photosynthesis. Due to decreased photorespiration, the levels of some key photorespiratory metabolites, such as 2-phosphoglycolate, glycine, and glycerate, significantly decreased in mapk2 mutants, but those of photosynthetic metabolites were not altered. Transcriptome assays also revealed that the expression levels of some flux-controlling genes in photorespiration were significantly downregulated in mapk2 mutants. Our findings provide molecular evidence for the association between MAPK2 and photorespiration and suggest that MAPK2 regulates the key enzymes of photorespiration at both the transcriptional and posttranslational phosphorylation levels in rice.
Collapse
Affiliation(s)
- Zheng Xu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou 510642, China
| | - Weidong Guo
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou 510642, China
| | - Benqi Mo
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou 510642, China
| | - Qing Pan
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou 510642, China
| | - Jiatian Lu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou 510642, China
| | - Ziwei Wang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou 510642, China
| | - Xinxiang Peng
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, South China Agricultural University, Guangzhou 510642, China
| | - Zhisheng Zhang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences, South China Agricultural University, Guangzhou 510642, China
| |
Collapse
|
18
|
Ge HQ, Pan Q. [Exploration of remote management and an intelligent platform for in-hospital respiratory therapy]. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46:858-861. [PMID: 37670641 DOI: 10.3760/cma.j.cn112147-20230601-00282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/07/2023]
Abstract
The construction of an intelligent remote management platform for respiratory therapy, utilizing artificial intelligence (AI) and the electronic medical record system (EMR), has significant potential to improve the management of respiratory therapy in critically ill patients. This platform includes the development of a dedicated respiratory therapy EMR, the integration of data from multiple mechanical ventilators from different vendors and models, and the utilization of AI-assisted analysis to understand the pathophysiology of respiratory diseases and the complex physiological factors that influence specific interventions, thereby supporting diagnosis, treatment guidance, and prognosis prediction. In addtion, a network will be established to provide seamless connectivity between hospitals and wards. The resulting platform enables the collection of medical device data from multiple points within the hospital, real-time data analysis, and timely alarms, thereby facilitating remote data access, centralization of information, and standardization of data. As a result, the platform enables efficient intra-hospital and inter-hospital doctor-patient management. Despite the benefits offered by this platform, certain challenges need to be addressed, including ensuring data privacy and security, as well as managing the financial and human resources required for its implementation and maintenance. Furthermore, continuous optimization of the platform is crucial, and the clinical use of the platform requires appropriate professional training.
Collapse
Affiliation(s)
- H Q Ge
- Respiratory Care Department,Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou 310016, China
| | - Q Pan
- College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
| |
Collapse
|
19
|
Ren LP, Chen H, Zhang T, Pan Q. [The effect of subclinical hypercortisolism on bone metabolism]. Zhonghua Nei Ke Za Zhi 2023; 62:1135-1138. [PMID: 37650188 DOI: 10.3760/cma.j.cn112138-20230207-00065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Affiliation(s)
- L P Ren
- Department of Endocrinology, Hebei Provincial People's Hospital, Shijiazhuang 050051, China
| | - H Chen
- Department of Endocrinology, Beijing Hospital, National Center for Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China Chinese Academy of Medical Science, Peking Union Medical College Research Institute, Beijing 100730, China
| | - T Zhang
- Department of Endocrinology, Hebei Provincial People's Hospital, Shijiazhuang 050051, China Hebei University Research Institude, Zhangjiakou 075031, China
| | - Q Pan
- Department of Endocrinology, Beijing Hospital, National Center for Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China Chinese Academy of Medical Science, Peking Union Medical College Research Institute, Beijing 100730, China
| |
Collapse
|
20
|
Song P, Adeloye D, Li S, Zhao D, Ye X, Pan Q, Qiu Y, Zhang R, Rudan I. The prevalence of vitamin A deficiency and its public health significance in children in low- and middle-income countries: A systematic review and modelling analysis. J Glob Health 2023; 13:04084. [PMID: 37565390 PMCID: PMC10416138 DOI: 10.7189/jogh.13.04084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/12/2023] Open
Abstract
Background Vitamin A deficiency (VAD) is widely recognised as a major public health concern in low- and middle-income countries (LMICs). Despite various interventions implemented in many countries, a lack of reliable data is hindering progress. We aimed to consolidate available data and quantify estimates of the prevalence of VAD among children ≤18 years in LMICs. Methods We searched PubMed, Medline and Embase for studies reported the prevalence of VAD or marginal (m)VAD among children. A multilevel mixed-effects meta-regression approach was applied to establish the regression models for VAD and mVAD prevalence. The total numbers of children affected by VAD and mVAD in LMICs in 2019 were separately calculated from the estimated age- and socio-demographic index (SDI)-specific prevalence with their corresponding United Nations Population Division populations projections. We estimated areas of significant public health concern in 165 LMICs using the lower confidence interval (CI) of VAD prevalence. Results A total of 116 articles from 40 LMICs were retained. In 2019, VAD and mVAD affected 333.95 million (95% CI = 253.00-433.74) and 556.13 million (95% CI = 388.83-767.94) children and adolescents in 165 LMICs, respectively, corresponding to a prevalence of 14.73% (95% CI = 11.16-19.14) and 24.54% (95% CI = 17.15-33.88). The prevalence of both VAD and mVAD was the highest in children aged 0-5 years at 19.53% (95% CI = 15.03-24.91) and 28.22% (95% CI = 20.00-38.24), respectively, with both steadily decreasing to 10.09% (95% CI = 7.44-13.50) and 20.76% (95% CI = 14.16-29.50) in adolescents aged 13-18 years. The prevalence of VAD was significantly higher in the low SDI region at 29.67% (95% CI = 22.67-37.53) compared to 5.17% (95% CI = 3.14-8.43) estimated in the high-middle SDI region. 68 of the 165 LMICs (41.21%) were classified as areas of moderate to severe VAD public health significance. Conclusions VAD continues to pose a significant public health concern in many low-income settings. Development in LMICs is a crucial factor for VAD, with a disproportionately higher burden in low SDI regions. Registration This study protocol was registered with PROSPERO, CRD42020220654.
Collapse
Affiliation(s)
- Peige Song
- School of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Davies Adeloye
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, UK
| | - Shuting Li
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Dong Zhao
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Xinxin Ye
- College of Education, Zhejiang University, Hangzhou, Zhejiang, China
| | - Qing Pan
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yiwen Qiu
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Ronghua Zhang
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, UK
- Algebra University, Zagreb, Croatia
| | - Global Health Epidemiology Research Group (GHERG)
- School of Public Health and Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, UK
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang, China
- College of Education, Zhejiang University, Hangzhou, Zhejiang, China
- Algebra University, Zagreb, Croatia
| |
Collapse
|
21
|
Li JH, Perry JA, Jablonski KA, Srinivasan S, Chen L, Todd JN, Harden M, Mercader JM, Pan Q, Dawed AY, Yee SW, Pearson ER, Giacomini KM, Giri A, Hung AM, Xiao S, Williams LK, Franks PW, Hanson RL, Kahn SE, Knowler WC, Pollin TI, Florez JC. Identification of Genetic Variation Influencing Metformin Response in a Multiancestry Genome-Wide Association Study in the Diabetes Prevention Program (DPP). Diabetes 2023; 72:1161-1172. [PMID: 36525397 PMCID: PMC10382652 DOI: 10.2337/db22-0702] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
Genome-wide significant loci for metformin response in type 2 diabetes reported elsewhere have not been replicated in the Diabetes Prevention Program (DPP). To assess pharmacogenetic interactions in prediabetes, we conducted a genome-wide association study (GWAS) in the DPP. Cox proportional hazards models tested associations with diabetes incidence in the metformin (MET; n = 876) and placebo (PBO; n = 887) arms. Multiple linear regression assessed association with 1-year change in metformin-related quantitative traits, adjusted for baseline trait, age, sex, and 10 ancestry principal components. We tested for gene-by-treatment interaction. No significant associations emerged for diabetes incidence. We identified four genome-wide significant variants after correcting for correlated traits (P < 9 × 10-9). In the MET arm, rs144322333 near ENOSF1 (minor allele frequency [MAF]AFR = 0.07; MAFEUR = 0.002) was associated with an increase in percentage of glycated hemoglobin (per minor allele, β = 0.39 [95% CI 0.28, 0.50]; P = 2.8 × 10-12). rs145591055 near OMSR (MAF = 0.10 in American Indians) was associated with weight loss (kilograms) (per G allele, β = -7.55 [95% CI -9.88, -5.22]; P = 3.2 × 10-10) in the MET arm. Neither variant was significant in PBO; gene-by-treatment interaction was significant for both variants [P(G×T) < 1.0 × 10-4]. Replication in individuals with diabetes did not yield significant findings. A GWAS for metformin response in prediabetes revealed novel ethnic-specific associations that require further investigation but may have implications for tailored therapy.
Collapse
Affiliation(s)
- Josephine H. Li
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - James A. Perry
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Kathleen A. Jablonski
- Department of Epidemiology and Biostatistics, George Washington University Biostatistics Center, Washington, DC
| | - Shylaja Srinivasan
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, University of California, San Francisco, San Francisco, CA
| | - Ling Chen
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Jennifer N. Todd
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA
- Division of Endocrinology, Department of Pediatrics, Boston Children’s Hospital, Boston, MA
| | - Maegan Harden
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Josep M. Mercader
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Qing Pan
- Department of Epidemiology and Biostatistics, George Washington University Biostatistics Center, Washington, DC
| | - Adem Y. Dawed
- Division of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee, U.K
| | - Sook Wah Yee
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA
| | - Ewan R. Pearson
- Division of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee, U.K
| | - Kathleen M. Giacomini
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA
| | - Ayush Giri
- Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN
| | - Adriana M. Hung
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Shujie Xiao
- Center for Individualized and Genomic Medicine Research, Department of Internal Medicine, Henry Ford Health System, Detroit, MI
| | - L. Keoki Williams
- Center for Individualized and Genomic Medicine Research, Department of Internal Medicine, Henry Ford Health System, Detroit, MI
| | - Paul W. Franks
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Robert L. Hanson
- Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - Steven E. Kahn
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle
| | - William C. Knowler
- Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ
| | - Toni I. Pollin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Jose C. Florez
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Diabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| |
Collapse
|
22
|
Feng X, Wang D, Pan Q, Yan M, Liu X, Shen Y, Fang L, Cai G, Ning G. Reinforcement Learning Model for Managing Noninvasive Ventilation Switching Policy. IEEE J Biomed Health Inform 2023; 27:4120-4130. [PMID: 37159312 DOI: 10.1109/jbhi.2023.3274568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Noninvasive ventilation (NIV) has been recognized as a first-line treatment for respiratory failure in patients with chronic obstructive pulmonary disease (COPD) and hypercapnia respiratory failure, which can reduce mortality and burden of intubation. However, during the long-term NIV process, failure to respond to NIV may cause overtreatment or delayed intubation, which is associated with increased mortality or costs. Optimal strategies for switching regime in the course of NIV treatment remain to be explored.For the goal of reducing 28-day mortality of the patients undergoing NIV, Double Dueling Deep Q Network (D3QN) of offline-reinforcement learning algorithm was adopted to develop an optimal regime model for making treatment decisions of discontinuing ventilation, continuing NIV, or intubation. The model was trained and tested using the data from Multi-Parameter Intelligent Monitoring in Intensive Care III (MIMIC-III) and evaluated by the practical strategies. Furthermore, the applicability of the model in majority disease subgroups (Catalogued by International Classification of Diseases, ICD) was investigated. Compared with physician's strategies, the proposed model achieved a higher expected return score (4.25 vs. 2.68) and its recommended treatments reduced the expected mortality from 27.82% to 25.44% in all NIV cases. In particular, for these patients finally received intubation in practice, if the model also supported the regime, it would warn of switching to intubation 13.36 hours earlier than clinicians (8.64 vs. 22 hours after the NIV treatment), granting a 21.7% reduction in estimated mortality. In addition, the model was applicable across various disease groups with distinguished achievement in dealing with respiratory disorders. The proposed model is promising to dynamically provide personalized optimal NIV switching regime for patients undergoing NIV with the potential of improving treatment outcomes.
Collapse
|
23
|
Zhang YM, Jiao QX, Xie J, Liu F, Pan Q. A pretreatment scheme for plasmid extraction contained sugar, high concentration lysozyme and mild lysozyme removal. Anal Biochem 2023:115242. [PMID: 37422061 DOI: 10.1016/j.ab.2023.115242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 07/02/2023] [Accepted: 07/06/2023] [Indexed: 07/10/2023]
Abstract
To address the issue of low efficiency in extracting plasmid DNA (pDNA) from Lactobacillus plantarum by breaking the cell wall, we proposed an effective pretreatment scheme. This study investigated the impacts of lysozyme concentrations and glucose, as well as centrifugal forces during lysozyme removal in the pretreatment system. The efficiency of pDNA extraction was assessed using non-staining method, acridine orange staining method (AO staining) and agarose gel electrophoresis (AGE). Furthermore, the glucose high lysozyme method was compared to the commercial kit method and the lysozyme removal method using L. plantarum PC518, 9L15, JS193 and Staphylococcus aureus USA300. The results indicated that the pDNA extraction concentrations from the four tested strains were increased by 8.9, 7.2, 8.5 and 3.6 times, respectively, compared to the commercial kit method. Furthermore, they increased by 1.9, 1.5, 1.8, and 1.4 times, respectively, compared to the lysozyme removal method. The maximum average concentration of pDNA extraction (from L. plantarum PC518) reached 590.8 ± 31.9 ng/ul. In conclusion, the incorporation of sugar, high concentration lysozyme and mild lysozyme removal proved to be effective enhancements in improving the efficiency of pDNA extraction from L. plantarum. Using the pretreatment scheme, the concentration of pDNA extraction was significantly increased, approaching levels comparable to pDNA extraction from Gram-negative bacteria.
Collapse
Affiliation(s)
- Y M Zhang
- Department of Pathogenic Biology, Chengdu Medical College, Chengdu, 610500, China
| | - Q X Jiao
- Department of Pathogenic Biology, Chengdu Medical College, Chengdu, 610500, China
| | - J Xie
- Department of Pathogenic Biology, Chengdu Medical College, Chengdu, 610500, China
| | - F Liu
- Department of Pathogenic Biology, Chengdu Medical College, Chengdu, 610500, China
| | - Q Pan
- Department of Pathogenic Biology, Chengdu Medical College, Chengdu, 610500, China.
| |
Collapse
|
24
|
Domalpally A, Pan Q, Chew EY. Association of Metformin With the Development of Age-related Macular Degeneration in the Diabetes Prevention Program Outcomes Study-Reply. JAMA Ophthalmol 2023:2805389. [PMID: 37227711 DOI: 10.1001/jamaophthalmol.2023.1892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Affiliation(s)
- Amitha Domalpally
- Wisconsin Reading Center, Department of Ophthalmology, University of Wisconsin School of Medicine and Public and Health, Madison
| | - Qing Pan
- Department of Statistics, George Washington University, Washington, DC
| | - Emily Y Chew
- Division of Epidemiology and Clinical Applications, Clinical Trials Branch, National Eye Institute, National Institutes of Health, Bethesda, Maryland
| |
Collapse
|
25
|
Wang Q, Wang XH, Pan Q, Chang H, Yu HJ, Pang WQ. Thermal Behaviors and Interaction Mechanism of Ammonium Dinitramide with Nitrocellulose. Molecules 2023; 28:molecules28052346. [PMID: 36903591 PMCID: PMC10005589 DOI: 10.3390/molecules28052346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 03/08/2023] Open
Abstract
The initial interaction mechanism is very important for the design and safety of nano-scale composite energetic materials composed of ammonium dinitramide (ADN) and nitrocellulose (NC). The thermal behaviors of ADN, NC and an NC/ADN mixture under different conditions were studied by using differential scanning calorimetry (DSC) with sealed crucibles, an accelerating rate calorimeter (ARC), a self-developed gas pressure measurement instrument and a DSC-thermogravimetry (TG)-quadrupole mass spectroscopy (MS)-Fourier transform infrared spectroscopy (FTIR) combined technique. The results show that the exothermic peak temperature of the NC/ADN mixture shifted forward greatly in both open and closed circumstances compared to those of NC or ADN. After 585.5 min under quasi-adiabatic conditions, the NC/ADN mixture stepped into the self-heating stage at 106.4 °C, which was much less than the initial temperatures of NC or ADN. The significant reduction in net pressure increment of NC, ADN and the NC/ADN mixture under vacuum indicates that ADN initiated the interaction of NC with ADN. Compared to gas products of NC or ADN, two new kinds of oxidative gases O2 and HNO2 appeared for the NC/ADN mixture, while NH3 and aldehyde disappeared. The mixing of NC with ADN did not change the initial decomposition pathway of either, but NC made ADN more inclined to decompose into N2O, which resulted in the formation of oxidative gases O2 and HNO2. The thermal decomposition of ADN dominated the initial thermal decomposition stage of the NC/ADN mixture, followed by the oxidation of NC and the cation of ADN.
Collapse
|
26
|
Zhang Q, Shi P, Wang Z, Sun L, Li W, Zhao Q, Liu T, Pan Q, Sun Y, Jia F, Chen W, Fu X, Yu G, Bao F, Mi Z, Wang C, Sun Y, Li B, Liu J, Liu H, Gu H, Zhang F. Identification of the BTN3A3 gene as a molecule implicated in generalized pustular psoriasis in a Chinese population. J Invest Dermatol 2023:S0022-202X(23)00089-1. [PMID: 36804966 DOI: 10.1016/j.jid.2023.01.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 01/28/2023] [Accepted: 01/31/2023] [Indexed: 02/18/2023]
Abstract
The discovery of pathogenic variants provided biological insight into the role of host genetic factors in generalized pustular psoriasis (GPP). However, not all those affected by GPP carry mutations in the reported genes. To comprehensively explore the molecular pathogenesis of GPP, whole-exome sequencing was performed and two loci were identified with exome-wide significance via single variant association analysis: rs148755083 in the IL36RN gene (Pcombined = 1.19 × 10-18, OR = 8.26) and HLA-C*06:02 within the MHC region (Pcombined = 8.38 × 10-12, OR = 2.98). Gene burden testing revealed that BTN3A3 correlated with GPP (Pcombined = 1.14 × 10-10, OR = 5.59). Subtype analysis showed that IL36RN and BTN3A3 were both significantly associated with GPP alone and GPP with psoriasis vulgaris (PV), while a correlation with HLA-C*06:02 was only observed in GPP with PV. Functional analysis revealed that BTN3A3 regulated cell proliferation and inflammatory balance in GPP. In particular, loss of function of BTN3A3 activated NF-κB and promoted the production of inflammatory cytokines by inhibiting IL-36Ra expression to disturb the IL-1/IL-36 inflammatory axis and enhance the TNF-α-mediated pathway. Our findings identify BTN3A3 as, to our knowledge, a previously unreported pathogenic determinant, expanding our understanding of the genetic basis of GPP.
Collapse
Affiliation(s)
- Qilin Zhang
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China; Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Peidian Shi
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Zhenzhen Wang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Lele Sun
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Wenchao Li
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Qing Zhao
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Tingting Liu
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Qing Pan
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Yuanhang Sun
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Fengming Jia
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Wenjie Chen
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Xi'an Fu
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Gongqi Yu
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Fangfang Bao
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Zihao Mi
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Chuan Wang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Yonghu Sun
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Bingqing Li
- Department of Pathogen Biology, School of Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | | | - Hong Liu
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China.
| | - Heng Gu
- Jiangsu Key Laboratory of Molecular Biology for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, Jiangsu, China
| | - Furen Zhang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| |
Collapse
|
27
|
Wang B, Zou M, Pan Q, Li J. Analysis of Actin Array Rearrangement During the Plant Response to Bacterial Stimuli. Methods Mol Biol 2023; 2604:263-270. [PMID: 36773241 DOI: 10.1007/978-1-0716-2867-6_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
Plants are constantly exposed to various environmental stresses, among which, microbial pathogens are one of the major threats. Studies have shown that the host actin cytoskeleton undergoes active rearrangement during the plant-microbe interaction. This actin remodeling is required for plant resistance to bacterial infection. In this chapter, we introduce a protocol routinely used in our laboratory to investigate actin dynamics in response to bacterial cues. We describe the bacterial inoculation methods, plant sample preparation, and imaging techniques used to monitor actin responses in different Arabidopsis cell types including epidermal cells from light-grown leaves and dark-grown hypocotyls, as well as guard cells. We further introduce a high-throughput image analysis method for quantifying cytoskeletal changes. This protocol has allowed us to dissect the host cell contribution to actin remodeling and identify actin-binding proteins as stimulus-response regulators of the cytoskeleton.
Collapse
Affiliation(s)
- Bingxiao Wang
- Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Science, Beijing Normal University, Beijing, China
| | - Minxia Zou
- Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Science, Beijing Normal University, Beijing, China
| | - Qing Pan
- Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Science, Beijing Normal University, Beijing, China
| | - Jiejie Li
- Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Science, Beijing Normal University, Beijing, China. .,Key Laboratory of Cell Proliferation and Regulation of Ministry of Education, College of Life Science, Beijing Normal University, Beijing, China.
| |
Collapse
|
28
|
Domalpally A, Whittier SA, Pan Q, Dabelea DM, Darwin CH, Knowler WC, Lee CG, Luchsinger JA, White NH, Chew EY, Gadde KM, Culbert IW, Arceneaux J, Chatellier A, Dragg A, Champagne CM, Duncan C, Eberhardt B, Greenway F, Guillory FG, Herbert AA, Jeffirs ML, Kennedy BM, Levy E, Lockett M, Lovejoy JC, Morris LH, Melancon LE, Ryan DH, Sanford DA, Smith KG, Smith LL, St.Amant JA, Tulley RT, Vicknair PC, Williamson D, Zachwieja JJ, Polonsky KS, Tobian J, Ehrmann DA, Matulik MJ, Temple KA, Clark B, Czech K, DeSandre C, Dotson B, Hilbrich R, McNabb W, Semenske AR, Caro JF, Furlong K, Goldstein BJ, Watson PG, Smith KA, Mendoza J, Simmons M, Wildman W, Liberoni R, Spandorfer J, Pepe C, Donahue RP, Goldberg RB, Prineas R, Calles J, Giannella A, Rowe P, Sanguily J, Cassanova-Romero P, Castillo-Florez S, Florez HJ, Garg R, Kirby L, Lara O, Larreal C, McLymont V, Mendez J, Perry A, Saab P, Veciana B, Haffner SM, Hazuda HP, Montez MG, Hattaway K, Isaac J, Lorenzo C, Martinez A, Salazar M, Walker T, Hamman RF, Nash PV, Steinke SC, Testaverde L, Truong J, Anderson DR, Ballonoff LB, Bouffard A, Bucca B, Calonge BN, Delve L, Farago M, Hill JO, Hoyer SR, Jenkins T, Jortberg BT, Lenz D, Miller M, Nilan T, Perreault L, Price DW, Regensteiner JG, Schroeder EB, Seagle H, Smith CM, VanDorsten B, Horton ES, Munshi M, Lawton KE, Jackson SD, Poirier CS, Swift K, Arky RA, Bryant M, Burke JP, Caballero E, Callaphan KM, Fargnoli B, Franklin T, Ganda OP, Guidi A, Guido M, Jacobsen AM, Kula LM, Kocal M, Lambert L, Ledbury S, Malloy MA, Middelbeek RJ, Nicosia M, Oldmixon CF, Pan J, Quitingon M, Rainville R, Rubtchinsky S, Seely EW, Sansoucy J, Schweizer D, Simonson D, Smith F, Solomon CG, Spellman J, Warram J, Kahn SE, Fattaleh B, Montgomery BK, Colegrove C, Fujimoto W, Knopp RH, Lipkin EW, Marr M, Morgan-Taggart I, Murillo A, O’Neal K, Trence D, Taylor L, Thomas A, Tsai EC, Dagogo-Jack S, Kitabchi AE, Murphy ME, Taylor L, Dolgoff J, Applegate WB, Bryer-Ash M, Clark D, Frieson SL, Ibebuogu U, Imseis R, Lambeth H, Lichtermann LC, Oktaei H, Ricks H, Rutledge LM, Sherman AR, Smith CM, Soberman JE, Williams-Cleaves B, Patel A, Nyenwe EA, Hampton EF, Metzger BE, Molitch ME, Johnson MK, Adelman DT, Behrends C, Cook M, Fitzgibbon M, Giles MM, Heard D, Johnson CK, Larsen D, Lowe A, Lyman M, McPherson D, Penn SC, Pitts T, Reinhart R, Roston S, Schinleber PA, Wallia A, Nathan DM, McKitrick C, Turgeon H, Larkin M, Mugford M, Abbott K, Anderson E, Bissett L, Bondi K, Cagliero E, Florez JC, Delahanty L, Goldman V, Grassa E, Gurry L, D’Anna K, Leandre F, Lou P, Poulos A, Raymond E, Ripley V, Stevens C, Tseng B, Olefsky JM, Barrett-Connor E, Mudaliar S, Araneta MR, Carrion-Petersen ML, Vejvoda K, Bassiouni S, Beltran M, Claravall LN, Dowden JM, Edelman SV, Garimella P, Henry RR, Horne J, Lamkin M, Janesch SS, Leos D, Polonsky W, Ruiz R, Smith J, Torio-Hurley J, Pi-Sunyer FX, Lee JE, Hagamen S, Allison DB, Agharanya N, Aronoff NJ, Baldo M, Crandall JP, Foo ST, Luchsinger JA, Pal C, Parkes K, Pena MB, Rooney ES, Van Wye GE, Viscovich KA, de Groot M, Marrero DG, Mather KJ, Prince MJ, Kelly SM, Jackson MA, McAtee G, Putenney P, Ackermann RT, Cantrell CM, Dotson YF, Fineberg ES, Fultz M, Guare JC, Hadden A, Ignaut JM, Kirkman MS, Phillips EO, Pinner KL, Porter BD, Roach PJ, Rowland ND, Wheeler ML, Aroda V, Magee M, Ratner RE, Youssef G, Shapiro S, Andon N, Bavido-Arrage C, Boggs G, Bronsord M, Brown E, Love Burkott H, Cheatham WW, Cola S, Evans C, Gibbs P, Kellum T, Leon L, Lagarda M, Levatan C, Lindsay M, Nair AK, Park J, Passaro M, Silverman A, Uwaifo G, Wells-Thayer D, Wiggins R, Saad MF, Watson K, Budget M, Jinagouda S, Botrous M, Sosa A, Tadros S, Akbar K, Conzues C, Magpuri P, Ngo K, Rassam A, Waters D, Xapthalamous K, Santiago JV, Brown AL, Das S, Khare-Ranade P, Stich T, Santiago A, Fisher E, Hurt E, Jones T, Kerr M, Ryder L, Wernimont C, Golden SH, Saudek CD, Bradley V, Sullivan E, Whittington T, Abbas C, Allen A, Brancati FL, Cappelli S, Clark JM, Charleston JB, Freel J, Horak K, Greene A, Jiggetts D, Johnson D, Joseph H, Loman K, Mathioudakis N, Mosley H, Reusing J, Rubin RR, Samuels A, Shields T, Stephens S, Stewart KJ, Thomas L, Utsey E, Williamson P, Schade DS, Adams KS, Canady JL, Johannes C, Hemphill C, Hyde P, Atler LF, Boyle PJ, Burge MR, Chai L, Colleran K, Fondino A, Gonzales Y, Hernandez-McGinnis DA, Katz P, King C, Middendorf J, Rubinchik S, Senter W, Crandall J, Shamoon H, Brown JO, Trandafirescu G, Powell D, Adorno E, Cox L, Duffy H, Engel S, Friedler A, Goldstein A, Howard-Century CJ, Lukin J, Kloiber S, Longchamp N, Martinez H, Pompi D, Scheindlin J, Violino E, Walker EA, Wylie-Rosett J, Zimmerman E, Zonszein J, Orchard T, Venditti E, Wing RR, Jeffries S, Koenning G, Kramer MK, Smith M, Barr S, Benchoff C, Boraz M, Clifford L, Culyba R, Frazier M, Gilligan R, Guimond S, Harrier S, Harris L, Kriska A, Manjoo Q, Mullen M, Noel A, Otto A, Pettigrew J, Rockette-Wagner B, Rubinstein D, Semler L, Smith CF, Weinzierl V, Williams KV, Wilson T, Mau MK, Baker-Ladao NK, Melish JS, Arakaki RF, Latimer RW, Isonaga MK, Beddow R, Bermudez NE, Dias L, Inouye J, Mikami K, Mohideen P, Odom SK, Perry RU, Yamamoto RE, Anderson H, Cooeyate N, Dodge C, Hoskin MA, Percy CA, Enote A, Natewa C, Acton KJ, Andre VL, Barber R, Begay S, Bennett PH, Benson MB, Bird EC, Broussard BA, Bucca BC, Chavez M, Cook S, Curtis J, Dacawyma T, Doughty MS, Duncan R, Edgerton C, Ghahate JM, Glass J, Glass M, Gohdes D, Grant W, Hanson RL, Horse E, Ingraham LE, Jackson M, Jay P, Kaskalla RS, Kavena K, Kessler D, Kobus KM, Krakoff J, Kurland J, Manus C, McCabe C, Michaels S, Morgan T, Nashboo Y, Nelson JA, Poirier S, Polczynski E, Piromalli C, Reidy M, Roumain J, Rowse D, Roy RJ, Sangster S, Sewenemewa J, Smart M, Spencer C, Tonemah D, Williams R, Wilson C, Yazzie M, Bain R, Fowler S, Temprosa M, Larsen MD, Brenneman T, Edelstein SL, Abebe S, Bamdad J, Barkalow M, Bethepu J, Bezabeh T, Bowers A, Butler N, Callaghan J, Carter CE, Christophi C, Dwyer GM, Foulkes M, Gao Y, Gooding R, Gottlieb A, Grimes KL, Grover-Fairchild N, Haffner L, Hoffman H, Jablonski K, Jones S, Jones TL, Katz R, Kolinjivadi P, Lachin JM, Ma Y, Mucik P, Orlosky R, Reamer S, Rochon J, Sapozhnikova A, Sherif H, Stimpson C, Hogan Tjaden A, Walker-Murray F, Venditti EM, Kriska AM, Weinzierl V, Marcovina S, Aldrich FA, Harting J, Albers J, Strylewicz G, Eastman R, Fradkin J, Garfield S, Lee C, Gregg E, Zhang P, O’Leary D, Evans G, Budoff M, Dailing C, Stamm E, Schwartz A, Navy C, Palermo L, Rautaharju P, Prineas RJ, Alexander T, Campbell C, Hall S, Li Y, Mills M, Pemberton N, Rautaharju F, Zhang Z, Soliman EZ, Hu J, Hensley S, Keasler L, Taylor T, Blodi B, Danis R, Davis M, Hubbard* L, Endres** R, Elsas** D, Johnson** S, Myers** D, Barrett N, Baumhauer H, Benz W, Cohn H, Corkery E, Dohm K, Gama V, Goulding A, Ewen A, Hurtenbach C, Lawrence D, McDaniel K, Pak J, Reimers J, Shaw R, Swift M, Vargo P, Watson S, Manly J, Mayer-Davis E, Moran RR, Ganiats T, David K, Sarkin AJ, Groessl E, Katzir N, Chong H, Herman WH, Brändle M, Brown MB, Altshuler D, Billings LK, Chen L, Harden M, Knowler WC, Pollin TI, Shuldiner AR, Franks PW, Hivert MF. Association of Metformin With the Development of Age-Related Macular Degeneration. JAMA Ophthalmol 2023; 141:140-147. [PMID: 36547967 PMCID: PMC9936345 DOI: 10.1001/jamaophthalmol.2022.5567] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 10/29/2022] [Indexed: 12/24/2022]
Abstract
Importance Age-related macular degeneration (AMD) is a leading cause of blindness with no treatment available for early stages. Retrospective studies have shown an association between metformin and reduced risk of AMD. Objective To investigate the association between metformin use and age-related macular degeneration (AMD). Design, Setting, and Participants The Diabetes Prevention Program Outcomes Study is a cross-sectional follow-up phase of a large multicenter randomized clinical trial, Diabetes Prevention Program (1996-2001), to investigate the association of treatment with metformin or an intensive lifestyle modification vs placebo with preventing the onset of type 2 diabetes in a population at high risk for developing diabetes. Participants with retinal imaging at a follow-up visit 16 years posttrial (2017-2019) were included. Analysis took place between October 2019 and May 2022. Interventions Participants were randomly distributed between 3 interventional arms: lifestyle, metformin, and placebo. Main Outcomes and Measures Prevalence of AMD in the treatment arms. Results Of 1592 participants, 514 (32.3%) were in the lifestyle arm, 549 (34.5%) were in the metformin arm, and 529 (33.2%) were in the placebo arm. All 3 arms were balanced for baseline characteristics including age (mean [SD] age at randomization, 49 [9] years), sex (1128 [71%] male), race and ethnicity (784 [49%] White), smoking habits, body mass index, and education level. AMD was identified in 479 participants (30.1%); 229 (14.4%) had early AMD, 218 (13.7%) had intermediate AMD, and 32 (2.0%) had advanced AMD. There was no significant difference in the presence of AMD between the 3 groups: 152 (29.6%) in the lifestyle arm, 165 (30.2%) in the metformin arm, and 162 (30.7%) in the placebo arm. There was also no difference in the distribution of early, intermediate, and advanced AMD between the intervention groups. Mean duration of metformin use was similar for those with and without AMD (mean [SD], 8.0 [9.3] vs 8.5 [9.3] years; P = .69). In the multivariate models, history of smoking was associated with increased risks of AMD (odds ratio, 1.30; 95% CI, 1.05-1.61; P = .02). Conclusions and Relevance These data suggest neither metformin nor lifestyle changes initiated for diabetes prevention were associated with the risk of any AMD, with similar results for AMD severity. Duration of metformin use was also not associated with AMD. This analysis does not address the association of metformin with incidence or progression of AMD.
Collapse
Affiliation(s)
- Amitha Domalpally
- Wisconsin Reading Center, Department of Ophthalmology, University of Wisconsin School of Medicine and Public and Health, Madison
| | - Samuel A. Whittier
- Wisconsin Reading Center, Department of Ophthalmology, University of Wisconsin School of Medicine and Public and Health, Madison
| | - Qing Pan
- Department of Statistics, George Washington University, Washington, DC
| | - Dana M. Dabelea
- Department of Epidemiology, University of Colorado School of Public Health, Denver
| | - Christine H. Darwin
- Department of Medicine, Ronald Reagan UCLA Medical Center, Los Angeles, California
| | - William C. Knowler
- Diabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Christine G. Lee
- Division of Diabetes, Endocrinology, and Metabolic Diseases, National Institutes of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland
| | - Jose A. Luchsinger
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Neil H. White
- Division of Endocrinology & Diabetes, Department of Pediatrics, Washington University in St Louis School of Medicine, St Louis, Missouri
| | - Emily Y. Chew
- Division of Epidemiology and Clinical Applications–Clinical Trials Branch, National Eye Institute - National Institutes of Health, Bethesda, Maryland
| | | | | | | | | | | | - Amber Dragg
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Crystal Duncan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Frank Greenway
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Erma Levy
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Monica Lockett
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Donna H. Ryan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Lisa L. Smith
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | - Janet Tobian
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Bart Clark
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kirsten Czech
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Wylie McNabb
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Jose F. Caro
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kevin Furlong
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Jewel Mendoza
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Marsha Simmons
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Wendi Wildman
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Renee Liberoni
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Constance Pepe
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Ronald Prineas
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Anna Giannella
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Patricia Rowe
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Rajesh Garg
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Olga Lara
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Carmen Larreal
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Jadell Mendez
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Arlette Perry
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Patrice Saab
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Bertha Veciana
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Kathy Hattaway
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Juan Isaac
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Carlos Lorenzo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Monica Salazar
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Tatiana Walker
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | | | | | - Brian Bucca
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - B. Ned Calonge
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lynne Delve
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Martha Farago
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - James O. Hill
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Tonya Jenkins
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Dione Lenz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Marsha Miller
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Thomas Nilan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - David W. Price
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Helen Seagle
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Medha Munshi
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Kati Swift
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ronald A. Arky
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | - Om P. Ganda
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ashley Guidi
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Mathew Guido
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Lyn M. Kula
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Margaret Kocal
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lori Lambert
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Sarah Ledbury
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Jocelyn Pan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Ellen W. Seely
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Dana Schweizer
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Fannie Smith
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - James Warram
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Steven E. Kahn
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Basma Fattaleh
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | - Michelle Marr
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Anne Murillo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kayla O’Neal
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Dace Trence
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lonnese Taylor
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - April Thomas
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Elaine C. Tsai
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Mary E. Murphy
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Laura Taylor
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Debra Clark
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Uzoma Ibebuogu
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Raed Imseis
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Helen Lambeth
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Hooman Oktaei
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Harriet Ricks
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Amy R. Sherman
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Clara M. Smith
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Avnisha Patel
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | | | - Michelle Cook
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Mimi M. Giles
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Deloris Heard
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Diane Larsen
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Anne Lowe
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Megan Lyman
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Samsam C. Penn
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Thomas Pitts
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Renee Reinhart
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Susan Roston
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Amisha Wallia
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Mary Larkin
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Kathy Abbott
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ellen Anderson
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Laurie Bissett
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kristy Bondi
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Jose C. Florez
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Elaine Grassa
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lindsery Gurry
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kali D’Anna
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Peter Lou
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Elyse Raymond
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Valerie Ripley
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Beverly Tseng
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | - Karen Vejvoda
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | | | - Javiva Horne
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Marycie Lamkin
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Diana Leos
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Rosa Ruiz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Jean Smith
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Jane E. Lee
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Susan Hagamen
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Maria Baldo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Sandra T. Foo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Carmen Pal
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kathy Parkes
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Mary Beth Pena
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Mary de Groot
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Susie M. Kelly
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Gina McAtee
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Paula Putenney
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Megan Fultz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - John C. Guare
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Angela Hadden
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Kisha L Pinner
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Paris J. Roach
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Vanita Aroda
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Michelle Magee
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Sue Shapiro
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Natalie Andon
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | - Susan Cola
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Cindy Evans
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Peggy Gibbs
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Tracy Kellum
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lilia Leon
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Milvia Lagarda
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Asha K. Nair
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Jean Park
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Gabriel Uwaifo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Renee Wiggins
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Karol Watson
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Maria Budget
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Medhat Botrous
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Anthony Sosa
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Sameh Tadros
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Khan Akbar
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Kathy Ngo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Amer Rassam
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Debra Waters
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Samia Das
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Tamara Stich
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ana Santiago
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Edwin Fisher
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Emma Hurt
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Tracy Jones
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Michelle Kerr
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lucy Ryder
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Emily Sullivan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Caroline Abbas
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Adrienne Allen
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Janice Freel
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Alicia Greene
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Dawn Jiggetts
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Hope Joseph
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kimberly Loman
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Henry Mosley
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - John Reusing
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Alafia Samuels
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Thomas Shields
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - LeeLana Thomas
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Evonne Utsey
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | - Penny Hyde
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Mark R. Burge
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lisa Chai
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Ateka Fondino
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ysela Gonzales
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Patricia Katz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Carolyn King
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Jill Crandall
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Harry Shamoon
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Janet O. Brown
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Elsie Adorno
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Liane Cox
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Helena Duffy
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Samuel Engel
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Jennifer Lukin
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Stacey Kloiber
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Helen Martinez
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Dorothy Pompi
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Elissa Violino
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Joel Zonszein
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Trevor Orchard
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Rena R. Wing
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Susan Jeffries
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Gaye Koenning
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - M. Kaye Kramer
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Marie Smith
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Susan Barr
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Miriam Boraz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lisa Clifford
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Rebecca Culyba
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Ryan Gilligan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Susan Harrier
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Louann Harris
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Andrea Kriska
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Monica Mullen
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Alicia Noel
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Amy Otto
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Linda Semler
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Tara Wilson
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - John S. Melish
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Mae K. Isonaga
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ralph Beddow
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Lorna Dias
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Jillian Inouye
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kathy Mikami
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Sharon K. Odom
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | - Mary A. Hoskin
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Carol A. Percy
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Alvera Enote
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Camille Natewa
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kelly J. Acton
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Rosalyn Barber
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Shandiin Begay
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Evelyn C. Bird
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Brian C. Bucca
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Sherron Cook
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Jeff Curtis
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Tara Dacawyma
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Roberta Duncan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Cyndy Edgerton
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Justin Glass
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Martia Glass
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Dorothy Gohdes
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Wendy Grant
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Ellie Horse
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Merry Jackson
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Priscilla Jay
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Karen Kavena
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - David Kessler
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Jason Kurland
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Cherie McCabe
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Sara Michaels
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Tina Morgan
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Steven Poirier
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Mike Reidy
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Debra Rowse
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Robert J. Roy
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Miranda Smart
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Darryl Tonemah
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Raymond Bain
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Sarah Fowler
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Tina Brenneman
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Solome Abebe
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Julie Bamdad
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Joel Bethepu
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Anna Bowers
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Nicole Butler
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Mary Foulkes
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Yuping Gao
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Robert Gooding
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | - Lori Haffner
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Steve Jones
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Tara L. Jones
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Richard Katz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - John M. Lachin
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Yong Ma
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Pamela Mucik
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Robert Orlosky
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Susan Reamer
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - James Rochon
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Hanna Sherif
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | | | | | | | | | - John Albers
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - R. Eastman
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Judith Fradkin
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Christine Lee
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Edward Gregg
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ping Zhang
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Dan O’Leary
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Gregory Evans
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Matthew Budoff
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Chris Dailing
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Ann Schwartz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Caroline Navy
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lisa Palermo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | - Sharon Hall
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Yabing Li
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Margaret Mills
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Zhuming Zhang
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Julie Hu
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Susan Hensley
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Lisa Keasler
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Tonya Taylor
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Barbara Blodi
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ronald Danis
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Matthew Davis
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Larry Hubbard*
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ryan Endres**
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Dawn Myers**
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Nancy Barrett
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Wendy Benz
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Holly Cohn
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ellie Corkery
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kristi Dohm
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Vonnie Gama
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Anne Goulding
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Andy Ewen
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Kyle McDaniel
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Jeong Pak
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - James Reimers
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Ruth Shaw
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Maria Swift
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Pamela Vargo
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Sheila Watson
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Jennifer Manly
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | - Ted Ganiats
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Kristin David
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Erik Groessl
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Naomi Katzir
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Helen Chong
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | | | | | | | | - Ling Chen
- for the Diabetes Prevention Program Research (DPPOS) Group
| | - Maegan Harden
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Toni I. Pollin
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | - Paul W. Franks
- for the Diabetes Prevention Program Research (DPPOS) Group
| | | | | |
Collapse
|
29
|
Pan Q, Zhang H, Jiang M, Ning G, Fang L, Ge H. Comprehensive breathing variability indices enhance the prediction of extubation failure in patients on mechanical ventilation. Comput Biol Med 2023; 153:106459. [PMID: 36603435 DOI: 10.1016/j.compbiomed.2022.106459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/20/2022] [Accepted: 12/19/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND OBJECTIVE Despite the numerous studies on extubation readiness assessment for patients who are invasively ventilated in the intensive care unit, a 10-15% extubation failure rate persists. Although breathing variability has been proposed as a potential predictor of extubation failure, it is mainly assessed using simple statistical metrics applied to basic respiratory parameters. Therefore, the complex pattern of breathing variability conveyed by continuous ventilation waveforms may be underexplored. METHODS Here, we aimed to develop novel breathing variability indices to predict extubation failure among invasively ventilated patients. First, breath-to-breath basic and comprehensive respiratory parameters were computed from continuous ventilation waveforms 1 h before extubation. Subsequently, the basic and advanced variability methods were applied to the respiratory parameter sequences to derive comprehensive breathing variability indices, and their role in predicting extubation failure was assessed. Finally, after reducing the feature dimensionality using the forward search method, the combined effect of the indices was evaluated by inputting them into the machine learning models, including logistic regression, random forest, support vector machine, and eXtreme Gradient Boosting (XGBoost). RESULTS The coefficient of variation of the dynamic mechanical power per breath (CV-MPd[J/breath]) exhibited the highest area under the receiver operating characteristic curve (AUC) of 0.777 among the individual indices. Furthermore, the XGBoost model obtained the best AUC (0.902) by combining multiple selected variability indices. CONCLUSIONS These results suggest that the proposed novel breathing variability indices can improve extubation failure prediction in invasively ventilated patients.
Collapse
Affiliation(s)
- Qing Pan
- College of Information Engineering, Zhejiang University of Technology, Liuhe Rd. 288, 310023, Hangzhou, China
| | - Haoyuan Zhang
- College of Information Engineering, Zhejiang University of Technology, Liuhe Rd. 288, 310023, Hangzhou, China
| | - Mengting Jiang
- College of Information Engineering, Zhejiang University of Technology, Liuhe Rd. 288, 310023, Hangzhou, China
| | - Gangmin Ning
- Department of Biomedical Engineering, Zhejiang University, Zheda Rd. 38, 310027, Hangzhou, China; Zhejiang Lab, Nanhu Headquarters, Kechuang Avenue, Zhongtai Sub-District, Yuhang District, 311121, Hangzhou, China
| | - Luping Fang
- College of Information Engineering, Zhejiang University of Technology, Liuhe Rd. 288, 310023, Hangzhou, China.
| | - Huiqing Ge
- Department of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016, China.
| |
Collapse
|
30
|
Yang W, Pan Q, Huang F, Hu H, Shao Z. Research progress of bone metastases: From disease recognition to clinical practice. Front Oncol 2023; 12:1105745. [PMID: 36761418 PMCID: PMC9905420 DOI: 10.3389/fonc.2022.1105745] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 12/21/2022] [Indexed: 01/26/2023] Open
Abstract
Bone metastases, as one of the common types of metastatic tumors, have a great impact on the survival period and quality of life of patients. Bone metastases are usually characterized by bone destruction. Skeletal related events caused by bone destruction often lead to pain, pathological fractures and even paralysis. In this review, we provide a detailed explanation of bone metastases from the epidemiology, clinical features, pathogenesis, and recently developed clinical treatment viewpoints. We concluded that the incidence of bone metastases is increasing gradually, with serious clinical symptoms, complex pathogenesis and diverse clinical treatment. Tumor cells, immune cells, osteoblasts/osteoclasts and other cells as well as cytokines and enzymes all play a key role in the pathogenesis of bone metastases. We believe that the future treatment of bone metastases will be diversified and comprehensive. Some advanced technologies, such as nanomedicine, could be used for treatment, but this depends on understanding how disease occurs. With the development of treatment, the survival time and quality of life of patients will be improved.
Collapse
Affiliation(s)
| | | | | | - Hongzhi Hu
- *Correspondence: Hongzhi Hu, ; Zengwu Shao,
| | | |
Collapse
|
31
|
Gao T, Pan Q, Zhou J, Wang H, Tao L, Kwan HK. A Novel Attention-Guided Generative Adversarial Network for Whisper-to-Normal Speech Conversion. Cognit Comput 2023. [DOI: 10.1007/s12559-023-10108-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
|
32
|
Qian X, Jiang Y, Jia J, Shen W, Ding Y, He Y, Xu P, Pan Q, Xu Y, Ge H. PEEP application during mechanical ventilation contributes to fibrosis in the diaphragm. Respir Res 2023; 24:46. [PMID: 36782202 PMCID: PMC9926671 DOI: 10.1186/s12931-023-02356-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 02/01/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Positive end-expiratory airway pressure (PEEP) is a potent component of management for patients receiving mechanical ventilation (MV). However, PEEP may cause the development of diaphragm remodeling, making it difficult for patients to be weaned from MV. The current study aimed to explore the role of PEEP in VIDD. METHODS Eighteen adult male New Zealand rabbits were divided into three groups at random: nonventilated animals (the CON group), animals with volume-assist/control mode without/ with PEEP 8 cmH2O (the MV group/ the MV + PEEP group) for 48 h with mechanical ventilation. Ventilator parameters and diaphragm were collected during the experiment for further analysis. RESULTS There was no difference among the three groups in arterial blood gas and the diaphragmatic excursion during the experiment. The tidal volume, respiratory rate and minute ventilation were similar in MV + PEEP group and MV group. Airway peak pressure in MV + PEEP group was significantly higher than that in MV group (p < 0.001), and mechanical power was significantly higher (p < 0.001). RNA-seq showed that genes associated with fibrosis were enriched in the MV + PEEP group. This results were further confirmed on mRNA expression. As shown by Masson's trichrome staining, there was more collagen fiber in the MV + PEEP group than that in the MV group (p = 0.001). Sirius red staining showed more positive staining of total collagen fibers and type I/III fibers in the MV + PEEP group (p = 0.001; p = 0.001). The western blot results also showed upregulation of collagen types 1A1, III, 6A1 and 6A2 in the MV + PEEP group compared to the MV group (p < 0.001, all). Moreover, the positive immunofluorescence of COL III in the MV + PEEP group was more intense (p = 0.003). Furthermore, the expression of TGF-β1, one of the most potent fibrogenic factors, was upregulated at both the mRNA and protein levels in the MV + PEEP group (mRNA: p = 0.03; protein: p = 0.04). CONCLUSIONS We demonstrated that PEEP application for 48 h in mechanically ventilated rabbits will cause collagen deposition and fibrosis in the diaphragm. Moreover, activation of the TGF-β1 signaling pathway and myofibroblast differentiation may be the potential mechanism of this diaphragmatic fibrosis. These findings might provide novel therapeutic targets for PEEP application-induced diaphragm dysfunction.
Collapse
Affiliation(s)
- Xiaoli Qian
- grid.13402.340000 0004 1759 700XDepartment of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016 China
| | - Ye Jiang
- grid.13402.340000 0004 1759 700XDepartment of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016 China
| | - Jianwei Jia
- grid.13402.340000 0004 1759 700XDepartment of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016 China
| | - Weimin Shen
- grid.13402.340000 0004 1759 700XDepartment of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016 China
| | - Yuejia Ding
- grid.13402.340000 0004 1759 700XDepartment of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016 China
| | - Yuhan He
- grid.13402.340000 0004 1759 700XDepartment of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016 China
| | - Peifeng Xu
- grid.13402.340000 0004 1759 700XDepartment of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016 China
| | - Qing Pan
- grid.469325.f0000 0004 1761 325XCollege of Information Engineering, Zhejiang University of Technology, Liuhe Rd. 288, Hangzhou, 310023 China
| | - Ying Xu
- Department of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016, China.
| | - Huiqing Ge
- Department of Respiratory Care, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Qingchun East Rd. 3, Hangzhou, 310016, China.
| |
Collapse
|
33
|
Li X, Ma Y, Pan Q. Standardization of continuous and categorical covariates in sparse penalized regressions. Stat Methods Med Res 2023; 32:41-54. [PMID: 36189470 DOI: 10.1177/09622802221129042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
In sparse penalized regressions, candidate covariates of different units need to be standardized beforehand so that the coefficient sizes are directly comparable and reflect their relative impacts, which leads to fairer variable selection. However, when covariates of mixed data types (e.g. continuous, binary or categorical) exist in the same dataset, the commonly used standardization methods may lead to different selection probabilities even when the covariates have the same impact on or level of association with the outcome. In this paper, we propose a novel standardization method that targets at generating comparable selection probabilities in sparse penalized regressions for continuous, binary or categorical covariates with the same impact. We illustrate the advantages of the proposed method in simulation studies, and apply it to the National Ambulatory Medical Care Survey data to select factors related to the opioid prescription in the US.
Collapse
Affiliation(s)
- Xiang Li
- Statistics Department, 8367George Washington University, Washington, DC, USA
| | - Yong Ma
- Center for Drug Evaluation and Research, 4137Food and Drug Administration, Silver Spring, MD, USA
| | - Qing Pan
- Statistics Department, 8367George Washington University, Washington, DC, USA
| |
Collapse
|
34
|
Mo XM, Pan Q, Seifert H, Xing XW, Yuan J, Zhou ZY, Luo XY, Liu HM, Xie YL, Yang LQ, Hong XB, Higgins PG, Wong NK. First identification of multidrug-resistant Acinetobacter bereziniae isolates harboring bla NDM-1 from hospitals in South China. Heliyon 2023; 9:e12365. [PMID: 36699260 PMCID: PMC9868374 DOI: 10.1016/j.heliyon.2022.e12365] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 12/06/2022] [Accepted: 12/07/2022] [Indexed: 12/25/2022] Open
Abstract
This study is a first report on the identification of multidrug-resistant (MDR) Acinetobacter bereziniae among non-baumannii acinetobacters that had previously escaped automated laboratory detection, and characterize their clinical courses of infection at two tertiary-care hospitals in Shenzhen city, China (2015-2017). Herein, definitive identification by PCR was performed with universal and species-specific primers targeting 16S rDNA and rpoB genes, respectively, followed by Sanger sequencing and blast analysis. Antimicrobial susceptibility of A. bereziniae isolates was assessed accordingly. Three of the five identified A. bereziniae isolates exhibited carbapenem-resistance and were subjected to a multiplex PCR assay to detect drug-resistance genes. Sequences of the rpoB amplicon were aligned with curated sequences from global databases for phylogenetic analysis on evolutionary relations. Five clinical isolates of A. bereziniae were thereby re-identified, whose infections were primarily nosocomial. Automated identification and susceptibility testing systems (Phoenix-100 and VITEK 2) proved insufficient for discriminating A. bereziniae from other acinetobacters such as Acinetobacter baumannii and Acinetobacter guillouiae. Among these isolates, three exhibited carbapenem-resistant phenotypes indistinguishable from that of carbapenem-resistant A. baumannii. The carbapenem-resistant A. bereziniae isolates were subsequently confirmed to carry a bla NDM-1 (New Delhi metallo-β-lactamase-1) gene downstream of ISAba125. Phylogenetic analysis revealed that A. bereziniae isolates evolved slowly but independently in local habitats. A. bereziniae isolates are difficult to distinguish by traditional automated detection systems. PCR-based identification via amplification and sequencing of selected house-keeping genes provides sufficient resolution for discriminating the isolates.
Collapse
Affiliation(s)
- Xiao-Mei Mo
- Clinical Pharmacology Section, Department of Pharmacology, Shantou University Medical College, Shantou, China
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, The Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Qing Pan
- AlphaMol Science Ltd., Shenzhen, China
| | - Harald Seifert
- Institute for Medical Microbiology, Immunology and Hygiene, University of Cologne, Cologne, Germany
- German Center for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany
| | - Xi-Wen Xing
- Department of Biotechnology, College of Life Science and Technology, Jinan University Guangzhou, China
| | - Jing Yuan
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, The Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Zi-Yuan Zhou
- Clinical Pharmacology Section, Department of Pharmacology, Shantou University Medical College, Shantou, China
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, The Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Xing-Yu Luo
- Graduate School, Zhejiang Chinese Medical University, Hangzhou, China
| | - Hou-Ming Liu
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, The Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Yong-Li Xie
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, The Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- Shenzhen Key Laboratory of Microbial Genetic Engineering, College of Life Sciences and Oceanology, Shenzhen University, Shenzhen, China
| | - Liu-Qing Yang
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, The Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
| | - Xiao-Bing Hong
- Clinical Pharmacology Section, Department of Pharmacology, Shantou University Medical College, Shantou, China
- Department of Pharmacy, The Second Affiliated Hospital of Shantou University of Medical College, Shantou, China
- Guangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Shantou University Medical College, Shantou, China
| | - Paul G. Higgins
- Institute for Medical Microbiology, Immunology and Hygiene, University of Cologne, Cologne, Germany
- German Center for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany
| | - Nai-Kei Wong
- Clinical Pharmacology Section, Department of Pharmacology, Shantou University Medical College, Shantou, China
- National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, The Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China
- Guangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Shantou University Medical College, Shantou, China
- Corresponding author.
| |
Collapse
|
35
|
Yang C, Song Y, Li T, Chen X, Zhou J, Pan Q, Jiang W, Wang M, Jia H. Effects of Beta-Hydroxy-Beta-Methylbutyrate Supplementation on Older Adults with Sarcopenia: A Randomized, Double-Blind, Placebo-Controlled Study. J Nutr Health Aging 2023; 27:329-339. [PMID: 37248756 DOI: 10.1007/s12603-023-1911-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 03/24/2023] [Indexed: 05/31/2023]
Abstract
OBJECTIVES Sarcopenia is recognized as a major public health concern because of its association with several adverse health events. Beta-hydroxy-beta-methylbutyrate (HMB) supplementation reportedly delays the loss of muscle mass and function; however, the effect of HMB on sarcopenia remains inconclusive. We aimed to evaluate the impact of HMB intervention on muscle strength, physical performance, body compositions, and inflammatory factors in older adults with sarcopenia. DESIGN Randomized, double-blind, placebo-controlled trial. SETTING AND PARTICIPANTS This study included subjects aged ≥60 years with sarcopenia which were assigned to the HMB group (HMBG, n=18) and the placebo group (PG, n=16). INTERVENTION The HMBG and PG were supplied with HMB and placebo products twice daily for 12 weeks, and both received resistance exercise training twice a week in 12 weeks. MEASUREMENTS Hand grip strength was selected as the primary outcome; gait speed, five-time chair stand test, body composition and inflammatory indicators were selected as the secondary outcomes. The differences in changes from baseline between the two groups were analyzed using the analysis of covariance(ANCOVA). RESULTS After the 12-week intervention, the HMBG demonstrated significantly greater improvements in handgrip strength (4.61(95%CI:2.93,6.28) kg, P<0.001), gait speed (0.11(95%CI:0.02,0.20)m/s, P=0.014), five-time chair stand test (-3.65 (95%CI:-5.72, -1.58)s, P=0.001), muscle quality (2.47(95%CI:1.15,3.80),kg.kg-1 P=0.001) and tumor necrosis factor-like weak inducer of apoptosis (-15.23(95%CI:-29.80,-0.66)pmol/mL, P=0.041) compared with the PG; no significant differences in skeletal muscle mass, skeletal muscle index, and other body composition parameters were found between the two groups. CONCLUSION In older adults with sarcopenia, HMB significantly enhance the effect of resistance exercise training on muscle strength, physical performance, muscle quality, and reduced inflammatory factors. Therefore, HMB supplementation could be an effective treatment for sarcorpenia. The trial protocol was registered at http://www.chictr.org.cn/showproj.aspx?proj=47571 as ChiCTR2000028778.
Collapse
Affiliation(s)
- C Yang
- Hong Jia, School of Public Health, Southwest Medical University, Luzhou City, Sichuan Province, China,
| | | | | | | | | | | | | | | | | |
Collapse
|
36
|
Wang J, Liu H, Wang Z, Pan Q, Zhang F. Analysis of the autoimmune response to BP180 in Chinese stroke patients. An Bras Dermatol 2023; 98:13-16. [PMID: 36456305 PMCID: PMC9837628 DOI: 10.1016/j.abd.2022.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 01/07/2022] [Accepted: 01/07/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Significant association between bullous pemphigoid (BP) and stroke has been reported. This study aimed to evaluate the level of anti-BP180 antibody in stroke patients to explore the relationship between BP and stroke in their pathogenesis. METHODS We collected serum samples from stroke patients and matched controls between February 2019 and June 2020. The anti-BP180 antibody levels were measured by enzyme-linked immunosorbent assay (ELISA). RESULTS A total of 1183 stroke patients including 970 with cerebral infarction (CI), 192 with intracerebral hemorrhage (ICH), 21 with CI and ICH, and 855 controls were enrolled in this study. Anti-BP180 autoantibody values were significantly higher in stroke patients than in controls (p<0.001). Anti-BP180 autoantibody-positive rates were 12.51% (148) in stroke patients and 4.68% (40) in controls (p<0.001, OR=2.65). In anti-BP180 autoantibody-positive subjects, the values were significantly higher in stroke patients than in controls (p<0.001). However, only 10 (6.76%) stroke patients and 3 (7.5%) controls had high values (> 100 RU/mL) (p=0.87). Stratified analysis showed that anti-BP180 antibody positive rates were independent of age, sex, and stroke subtypes in the stroke group. Positive rates in patients with both CI and ICH were nearly two times higher than those in patients with either CI or ICH alone (p=0.11, OR=1.94). STUDY LIMITATIONS This study had a limited sample size and lacked quantitative criteria for stroke severity. CONCLUSIONS Anti-BP180 antibody values and positive rates were higher in stroke patients than in controls, suggesting that stroke patients may have higher of developing BP.
Collapse
Affiliation(s)
- Jing Wang
- Shandong Provincial Hospital for Skin Diseases, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China,Department of Dermatology and Venereology, the Second Affiliated Hospital, Anhui Medical University, Hefei, Anhui, China
| | - Hong Liu
- Shandong Provincial Hospital for Skin Diseases, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Zhenzhen Wang
- Shandong Provincial Hospital for Skin Diseases, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Qing Pan
- Shandong Provincial Hospital for Skin Diseases, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Furen Zhang
- Shandong Provincial Hospital for Skin Diseases, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China,Corresponding author.
| |
Collapse
|
37
|
Duan S, Xin R, Guan S, Li X, Fei R, Cheng W, Pan Q, Sun X. Optimization of callus induction and proliferation of Paeonia lactiflora Pall. and Agrobacterium-mediated genetic transformation. Front Plant Sci 2022; 13:996690. [PMID: 36589115 PMCID: PMC9800923 DOI: 10.3389/fpls.2022.996690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 11/30/2022] [Indexed: 06/17/2023]
Abstract
Paeonia lactiflora Pall. is an important ornamental plant with high economic and medicinal value, which has considerable development prospects worldwide. The lack of efficient tissue culture techniques and genetic transformation systems has become a master obstacle for P. lactiflora research. The purpose of the present study focuses on obtaining an efficient and stable genetic transformation method using callus as the receptor and exploring an efficient protocol for callus induction and proliferation associated with P. lactiflora. Callus induction and proliferation were performed using MS medium with various concentrations of 2,4-Dichlorophenoxyacetic acid (2,4-D), 1-Naphthaleneacetic acid (NAA), 6-Benzylaminopurine (6-BA) and thidiazuron (TDZ). The sensitivity of callus to kanamycin and cefotaxime was determined. Several parameters such as Agrobacterium cell density, infection time and co-culture duration were studied to optimize transformation efficiency. Agrobacterium strains EHA105 and pBI121 binary vector harboring the β-glucuronidase (GUS) gene were used for transformation. Expression of the GUS reporter gene was detected by GUS assay, polymerase chain reaction (PCR) and Quantitative Real-time PCR (RT-qPCR). The MS medium containing 1.0 mg·L-1 NAA, 0.5 mg·L-1 2,4-D and 0.5 mg·L-1 TDZ was optimal for callus induction and MS medium containing 0.5 mg·L-1 NAA, 1.0 mg·L-1 2,4-D and 0.5 mg·L-1 TDZ was the best for callus proliferation. The concentrations of kanamycin and cefotaxime used for screening positive callus were 125 mg·L-1 and 200 mg·L-1, respectively. Among various combinations analyzed, the best transformation result was obtained via the 25 min of infection of Agrobacterium at 0.6 OD600 and 3 d of co-culture. Overall, this study provided technical support and theoretical guidance for improving the callus induction and proliferation efficiency and the study of gene function in P. lactiflora.
Collapse
Affiliation(s)
- Siyang Duan
- College of Forestry, Shenyang Agricultural University, Shenyang, China
- Key Laboratory of Forest Tree Genetics, Breeding and Cultivation of Liaoning Province, Shenyang Agricultural University, Shenyang, China
| | - Rujie Xin
- College of Forestry, Shenyang Agricultural University, Shenyang, China
- Key Laboratory of Forest Tree Genetics, Breeding and Cultivation of Liaoning Province, Shenyang Agricultural University, Shenyang, China
| | - Shixin Guan
- College of Forestry, Shenyang Agricultural University, Shenyang, China
- Key Laboratory of Forest Tree Genetics, Breeding and Cultivation of Liaoning Province, Shenyang Agricultural University, Shenyang, China
| | - Xueting Li
- Key Laboratory of Forest Tree Genetics, Breeding and Cultivation of Liaoning Province, Shenyang Agricultural University, Shenyang, China
| | - Riwen Fei
- Key Laboratory of Forest Tree Genetics, Breeding and Cultivation of Liaoning Province, Shenyang Agricultural University, Shenyang, China
| | - Wan Cheng
- College of Forestry, Shenyang Agricultural University, Shenyang, China
- Key Laboratory of Forest Tree Genetics, Breeding and Cultivation of Liaoning Province, Shenyang Agricultural University, Shenyang, China
| | - Qing Pan
- College of Forestry, Shenyang Agricultural University, Shenyang, China
- Key Laboratory of Forest Tree Genetics, Breeding and Cultivation of Liaoning Province, Shenyang Agricultural University, Shenyang, China
| | - Xiaomei Sun
- College of Forestry, Shenyang Agricultural University, Shenyang, China
- Key Laboratory of Forest Tree Genetics, Breeding and Cultivation of Liaoning Province, Shenyang Agricultural University, Shenyang, China
| |
Collapse
|
38
|
Li X, Liao M, Huang J, Chen L, Huang H, Wu K, Pan Q, Zhang Z, Peng X. Dynamic and fluctuating generation of hydrogen peroxide via photorespiratory metabolic channeling in plants. Plant J 2022; 112:1429-1446. [PMID: 36382906 DOI: 10.1111/tpj.16022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 11/02/2022] [Accepted: 11/05/2022] [Indexed: 06/16/2023]
Abstract
The homeostasis of hydrogen peroxide (H2 O2 ), a key regulator of basic biological processes, is a result of the cooperation between its generation and scavenging. However, the mechanistic basis of this balance is not fully understood. We previously proposed that the interaction between glycolate oxidase (GLO) and catalase (CAT) may serve as a molecular switch that modulates H2 O2 levels in plants. In this study, we demonstrate that the GLO-CAT complex in plants exists in different states, which are dynamically interchangeable in response to various stimuli, typically salicylic acid (SA), at the whole-plant level. More crucially, changes in the state of the complex were found to be closely linked to peroxisomal H2 O2 fluctuations, which were independent of the membrane-associated NADPH oxidase. Furthermore, evidence suggested that H2 O2 channeling occurred even in vitro when GLO and CAT worked cooperatively. These results demonstrate that dynamic changes in H2 O2 levels are physically created via photorespiratory metabolic channeling in plants, and that such H2 O2 fluctuations may serve as signals that are mechanistically involved in the known functions of photorespiratory H2 O2 . In addition, our study also revealed a new way for SA to communicate with H2 O2 in plants.
Collapse
Affiliation(s)
- Xiangyang Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, South China Agricultural University, Guangzhou, China
| | - Mengmeng Liao
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, South China Agricultural University, Guangzhou, China
| | - Jiayu Huang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, South China Agricultural University, Guangzhou, China
| | - Linru Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, South China Agricultural University, Guangzhou, China
| | - Haiyin Huang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, China
| | - Kaixin Wu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, South China Agricultural University, Guangzhou, China
| | - Qing Pan
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, South China Agricultural University, Guangzhou, China
| | - Zhisheng Zhang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, South China Agricultural University, Guangzhou, China
| | - Xinxiang Peng
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Sciences, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, South China Agricultural University, Guangzhou, China
| |
Collapse
|
39
|
Zhang N, Zhou J, Wang L, Zhang T, Zhu W, Mao A, Pan Q, Lin Z, Wang M, Zhang Y, Feng Y, Xu W, Zhao Y, Wang L. 162P Efficacy and safety of GEMOX (gemcitabine plus oxaliplatin) plus sintilimab and bevacizumab as a conversion therapy in patients with initially unresectable biliary tract cancers (BTC): A single-arm, phase II study. Immuno-Oncology and Technology 2022. [DOI: 10.1016/j.iotech.2022.100274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
40
|
Zhao Q, Bao F, Mi Z, Wang Z, Huai P, Pan Q, Pang Z, Li Y, Cao N, Xue X, Li B, Chen X, Wang J, Cui Y, Chang W, Zhang Y, Yue Z, Liu Y, Wang Z, Yan W, Li J, Tian H, Lu X, Zhou G, Liu J, Liu H, Zhang F. An outbreak of Mycobacterium marinum infection associated with handling seabass in China. Chin Med J (Engl) 2022; 135:2617-2619. [PMID: 36228158 PMCID: PMC9945288 DOI: 10.1097/cm9.0000000000002078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Indexed: 01/26/2023] Open
Affiliation(s)
- Qing Zhao
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Fangfang Bao
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Zihao Mi
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Zhenzhen Wang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Pengcheng Huai
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Qing Pan
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Zheng Pang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Yaoming Li
- Shangkou Hospital, Shouguang, Shandong 262732, China
| | - Nan Cao
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Xiaotong Xue
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Buyan Li
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Xuechao Chen
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Jinliang Wang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Yanxia Cui
- Shouguang People's Hospital, Shouguang, Shandong 261000, China
| | - Wenqian Chang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Yuan Zhang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Zhenhua Yue
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Yongxia Liu
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Zhenhua Wang
- Weifang People's Hospital, Weifang, Shandong 261000, China
| | - Weiguo Yan
- Shouguang Hospital for Skin Diseases, Shouguang, Shandong 261000, China
| | - Jinyong Li
- Weifang Hospital for Skin Diseases, Weifang, Shandong 261000, China
| | - Hongqing Tian
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Xianmei Lu
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Guizhi Zhou
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Jianjun Liu
- Human Genetics, Genome Institute of Singapore, A∗STAR, Republic of Singapore
| | - Hong Liu
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| | - Furen Zhang
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong 250022, China
| |
Collapse
|
41
|
Dai Y, Zhang Q, Wu F, Peng J, Xu X, Du Q, Pan Q, Chen Y. 国家自然科学基金委员会交叉科学部成立、发展与展望. Chin Sci Bull 2022. [DOI: 10.1360/tb-2022-1077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
|
42
|
White NH, Pan Q, Knowler WC, Schroeder EB, Dabelea D, Chew EY, Blodi B, Goldberg RB, Pi-Sunyer X, Darwin C, Schlögl M, Nathan DM. Risk Factors for the Development of Retinopathy in Prediabetes and Type 2 Diabetes: The Diabetes Prevention Program Experience. Diabetes Care 2022; 45:2653-2661. [PMID: 36098658 PMCID: PMC9679265 DOI: 10.2337/dc22-0860] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 07/14/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To determine glycemic and nonglycemic risk factors that contribute to the presence of diabetic retinopathy (DR) before and after the onset of type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS During the Diabetes Prevention Program (DPP) and DPP Outcome Study (DPPOS), we performed fundus photography over time in adults at high risk for developing T2D, including after they developed diabetes. Fundus photographs were graded using the Early Treatment Diabetic Retinopathy Study (ETDRS) grading system, with DR defined as typical lesions of DR (microaneurysms, exudates, hemorrhage, or worse) in either eye. RESULTS By DPPOS year 16 (∼20 years after random assignment into DPP), 24% of 1,614 participants who had developed T2D and 14% of 885 who remained without diabetes had DR. In univariate analyses, using results from across the entire duration of follow-up, American Indian race was associated with less frequent DR compared with non-Hispanic White (NHW) race, and higher HbA1c, fasting and 2-h plasma glucose levels during an oral glucose tolerance test, weight, and history of hypertension, dyslipidemia, and smoking, but not treatment group assignment, were associated with more frequent DR. On multivariate analysis, American Indian race was associated with less DR compared with NHW (odds ratio [OR] 0.36, 95% CI 0.20-0.66), and average HbA1c was associated with more DR (OR 1.92, 95% CI 1.46-1.74 per SD [0.7%] increase in HbA1c). CONCLUSIONS DR may occur in adults with prediabetes and early in the course of T2D. HbA1c was an important risk factor for the development of DR across the entire glycemic range from prediabetes to T2D.
Collapse
Affiliation(s)
- Neil H. White
- Department of Pediatrics, Washington University in St. Louis School of Medicine, St. Louis, MO
| | - Qing Pan
- The Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD
| | - William C. Knowler
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ
| | | | - Dana Dabelea
- Colorado School of Public Health, Anschutz Medical Campus, Aurora, CO
| | - Emily Y. Chew
- Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Barbara Blodi
- Wisconsin Reading Center, Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Ronald B. Goldberg
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL
| | | | - Christine Darwin
- Department of Medicine/Endocrinology Diabetes, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Mathias Schlögl
- University Clinic for Acute Geriatric Care, City Hospital Waid Zurich, Zurich, Switzerland
| | - David M. Nathan
- Diabetes Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | | |
Collapse
|
43
|
Xu QY, Pan Q, Wu Q, Xin JQ. Mycoplasma Bovis adhesins and their target proteins. Front Immunol 2022; 13:1016641. [PMID: 36341375 PMCID: PMC9630594 DOI: 10.3389/fimmu.2022.1016641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 10/06/2022] [Indexed: 11/13/2022] Open
Abstract
Bovine mycoplasmosis is an important infectious disease of cattle caused by Mycoplasma bovis (M. bovis) which poses a serious threat to the breeding industry. Adhesin is involved in the initial process of M. bovis colonization, which is closely related to the infection, cell invasion, immune escape and virulence of this pathogenic microorganism. For the reason that M. bovis lacks a cell wall, its adhesin is predominantly located on the surface of the cell membrane. The adhesins of M. bovis are usually identified by adhesion and adhesion inhibition analysis, and more than 10 adhesins have been identified so far. These adhesins primarily bind to plasminogen, fibronectin, heparin and amyloid precursor-like protein-2 of host cells. This review aims to concisely summarize the current knowledge regarding the adhesins of M. bovis and their target proteins of the host cell. Additionally, the biological characteristics of the adhesin will be briefly analyzed.
Collapse
|
44
|
Wang L, Zhang W, Zhang C, Yan Z, Li S, Zhang C, Chen Y, Pan Q, Liang X, Chen X. Prognostic effect of pulmonary hypertension in patients with chronic kidney disease: Univariate and multivariate analyses of factors associated with survival. Front Med (Lausanne) 2022; 9:972937. [PMID: 36275815 PMCID: PMC9579432 DOI: 10.3389/fmed.2022.972937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
Background Prognostic effect of pulmonary hypertension (PH) in patients with chronic kidney disease (CKD) is not fully clear yet, this study was designed to elucidate baseline characteristics of CKD patients with different severities of PH, the association between kidney indicators and PH severity, and survival factors in CKD patients with PH. Methods We extracted clinical data from electronic medical records of all patients diagnosed with PH in CKD from Jan 2016 to Dec 2020, and those with comorbid conditions causing PH were excluded. CKD stages were defined by estimated glomerular filtration rate thresholds. PH was defined as a systolic pulmonary artery pressure (sPAP) >35 mmHg estimated using echocardiograms. Demographics, clinical data, and test results were analyzed, and all-cause mortality data were obtained. Results A total of 137 patients were included in the study. The mean age of the participants was 60 (42.5, 67) years, the mean sPAP was 58 (51, 69.5) mmHg, and 40.9% of the patients were women. Moderate PH group had more patients undergoing dialysis and higher frequency of coronary heart disease. Moderate-severe PH group had higher parathyroid hormone levels and lower low-density lipoprotein levels. Severe PH group had better kidney function parameters and lower serum phosphorus levels. PH severity had no direct relationship with CKD stages. In the univariate analysis, age and PH severity influenced survival. Multivariate analysis also showed independent prognostic effects for age and sPAP. Kaplan-Meyer curve intuitively displayed the survival differences among CKD patients with different PH severity. Predictor values of nomogram identified from survival analyses enabled calculation of death probabilities for CKD with PH patients. Nomogram was validated by ROC analysis. Conclusions PH begins with early-stage CKD, and PH severity is not related to CKD progression. A higher pulmonary artery pressure and an older age are associated with an increased risk of death.
Collapse
Affiliation(s)
- Lei Wang
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Wei Zhang
- Emergency Department, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Cailian Zhang
- Department of Pulmonary and Critical Care Medicine, Yan'an University Affiliated Hospital, Yan'an, China
| | - Zhe Yan
- Department of Nephrology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Shaomei Li
- Department of Nephrology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Chunxia Zhang
- Department of Nephrology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yakun Chen
- Department of Nephrology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Qing Pan
- Department of Nephrology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xuzhi Liang
- Department of Nephrology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xian Chen
- Department of Nephrology, The Second Hospital of Hebei Medical University, Shijiazhuang, China,*Correspondence: Xian Chen
| |
Collapse
|
45
|
Yang W, Zeng Q, Pan Q, Huang W, Hu H, Shao Z. Application and prospect of ROS-related nanomaterials for orthopaedic related diseases treatment. Front Chem 2022; 10:1035144. [PMID: 36277336 PMCID: PMC9581401 DOI: 10.3389/fchem.2022.1035144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 09/16/2022] [Indexed: 11/13/2022] Open
Abstract
The importance of reactive oxygen species (ROS) in the occurrence and development of orthopaedic related diseases is becoming increasingly prominent. ROS regulation has become a new method to treat orthopaedic related diseases. In recent years, the application of nanomaterials has become a new hope for precision and efficient treatment. However, there is a lack of reviews on ROS-regulated nanomaterials for orthopaedic related diseases. Based on the key significance of nanomaterials for the treatment of orthopaedic related diseases, we searched the latest related studies and reviewed the nanomaterials that regulate ROS in the treatment of orthopaedic related diseases. According to the function of nanomaterials, we describe the scavenging of ROS related nanomaterials and the generation of ROS related nanomaterials. In this review, we closely integrated nanomaterials with the treatment of orthopaedic related diseases such as arthritis, osteoporosis, wound infection and osteosarcoma, etc., and highlighted the advantages and disadvantages of existing nanomaterials. We also looked forward to the design of ROS-regulated nanomaterials for the treatment of orthopaedic related diseases in the future.
Collapse
Affiliation(s)
- Wenbo Yang
- Department of Orthopaedic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qianwen Zeng
- School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qing Pan
- Department of Orthopaedic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Huang
- Department of Orthopaedic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Zengwu Shao, ; Hongzhi Hu, ; Wei Huang,
| | - Hongzhi Hu
- Department of Orthopaedic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Zengwu Shao, ; Hongzhi Hu, ; Wei Huang,
| | - Zengwu Shao
- Department of Orthopaedic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Zengwu Shao, ; Hongzhi Hu, ; Wei Huang,
| |
Collapse
|
46
|
Zhou L, Pan Q. Inverse weighting method with jackknife variance estimator for differential expression analysis of single-cell RNA sequencing data. Comput Biol Chem 2022; 100:107733. [DOI: 10.1016/j.compbiolchem.2022.107733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 07/12/2022] [Indexed: 11/03/2022]
|
47
|
Li P, Pan Q, Jiang S, Kuebler WM, Pries AR, Ning G. Visualizing the spatiotemporal pattern of yolk sac membrane vascular network by enhanced local fractal analysis. Microcirculation 2022; 29:e12746. [PMID: 34897901 DOI: 10.1111/micc.12746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 11/09/2021] [Accepted: 12/07/2021] [Indexed: 12/30/2022]
Abstract
OBJECTIVE To establish methods for providing a comprehensive and detailed description of the spatial distribution of the vascular networks, and to reveal the spatiotemporal pattern of the yolk sac membrane vascular network during the angiogenic procedure. METHODS Addressing the limitations in the conventional local fractal analysis, an improved approach, named scanning average local fractal dimension, was proposed. This method was conducted on 6 high-resolution vascular images of the yolk sac membrane for 3 eggs at two stages (E3 and E4) to characterize the spatial distribution of the complexity of the vascular network. RESULTS With the proposed method, the spatial distribution of the complexity of the yolk sac membrane vascular network was visualized. From E3 to E4, the local fractal dimension increased in 3 eggs, 1.80 ± 0.02 vs. 1.85 ± 0.02, 1.72 ± 0.03 vs. 1.83 ± 0.02, and 1.77 ± 0.03 vs. 1.82 ± 0.02, respectively. The mean local fractal dimension in the most distal area from the embryo proper was the lowest at E3 while the highest at E4. At E3, the most peaks of the local fractal dimension were located in the vein territories and shifted to artery territories at E4. CONCLUSIONS The spatial distribution of the complexity of the yolk sac membrane vascular network exhibited diverse patterns at different stages. In addition from E3 to E4, the increment of complexity at the intersection areas between arteries and sinus terminalis was with the most advance. This is consistent with the physiologic evidence. The present work provides a potential approach for investigating the spatiotemporal pattern of the angiogenic process.
Collapse
Affiliation(s)
- Peilun Li
- Department of Biomedical Engineering, Zhejiang University, Hangzhou, China
| | - Qing Pan
- College of Information Engineering, Zhejiang University of Technology, Hangzhou, China
| | - Sheng Jiang
- Department of Biomedical Engineering, Zhejiang University, Hangzhou, China
| | - Wolfgang M Kuebler
- Institute of Physiology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Axel R Pries
- Institute of Physiology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Gangmin Ning
- Department of Biomedical Engineering, Zhejiang University, Hangzhou, China
| |
Collapse
|
48
|
Ning L, Liu S, Gao L, Zhou W, Chen X, Li Y, Pan Q. Influence of dietary fermented Folium mori on growing performance, lipometabolism and disease resistance of golden pompano Trachinotus ovatus. Fish Shellfish Immunol 2022; 128:398-404. [PMID: 35970508 DOI: 10.1016/j.fsi.2022.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 07/30/2022] [Accepted: 08/04/2022] [Indexed: 06/15/2023]
Abstract
Folium mori, as a plant unconventional feedstuff, are comparatively available due to cost-effectiveness, whereas their usage as aquafeed in pure form is restricted owing to the great fibre and antinutritional factors (ANFs) levels. Thereof, several methods of processing are introduced to remove antinutrient factors from the plant products, leading to improvement of bioactivity and digestibility. The assay was completed to evaluate the method of fermentation and the role of dietary fermented Folium mori (FFM) in golden pompano. Each of 5 diets with FFM at contents of 0.0%, 2.0%, 4.0%, 6.0% and 8.0% (D0.0, D2.0, D4.0, D6.0 and D8.0) was fed to the fishes with original body weight of 9.02g in triplicate sea cages for 56 days. The outcomes revealed that FFM in D4.0 and D6.0 elevated the growing performance of the fishes and the growing performance of D4.0 was remarkably improved in contrast to D0.0 and D2.0(P < 0.05). Whole body lipidic levels were obviously elevated when the diet FFM contents were below 8.0% (P < 0.05), whereas the contents of muscular moisture were generally reduced. In addition, FFM significantly increased serum high density lipoprotein (HDL) and remarkably reduced overall triglyceride (TG) in D2.0 to D6.0(P < 0.05). Moreover, FFM remarkably elevated the activities of lipase of stomach and hepatopancreas in contrast to D0.0 (P < 0.05) as well as intestinal tryptic enzyme in the entire FFM groups (P < 0.05). Eventually, FFM remarkably ameliorated disease-resistant characters of golden pompano to Vibrio harveyi in D4.0 and D6.0 (P < 0.05) and the RPS in D4.0 was optimal. To sum up, the present research displayed favorable role of FFM in growing performance, digestion, lipometabolism and disease-resistant characters, and the recommendation as to the supplementation content of diet FFM in compound feed of juvenile golden pompano is 4.0% as per the experiment status herein.
Collapse
Affiliation(s)
- Lijun Ning
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences of South China Agricultural University & Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Sha Liu
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences of South China Agricultural University & Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Liuling Gao
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences of South China Agricultural University & Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Wei Zhou
- College of Forestry and Landscape Architecture of South China Agricultural University & Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Xiaoyang Chen
- College of Forestry and Landscape Architecture of South China Agricultural University & Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Yuanyou Li
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences of South China Agricultural University & Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Qing Pan
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences of South China Agricultural University & Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, Guangdong, China.
| |
Collapse
|
49
|
Zhang C, Li Z, Pan Q, Fan L, Pan T, Zhu F, Pan Q, Shan L, Zhao L. Berberine at sub-inhibitory concentration inhibits biofilm dispersal in Staphylococcus aureus. Microbiology (Reading) 2022; 168. [PMID: 36178801 DOI: 10.1099/mic.0.001243] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Staphylococcus aureus is a major human pathogen, which has multiple drug resistance and can cause serious infections. Recent studies have shown that berberine has antibacterial activity and it can affect biofilm formation of S. aureus. However, the berberine effect on the biofilm of S. aureus is controversial. In this study, we investigate the effect of berberine on the biofilm development in S. aureus NCTC8325 and explore the possible mechanism. Susceptibility test shows that berberine inhibits growth of methicillin-sensitive S. aureus (MSSA), methicillin-resistant S. aureus (MRSA) and vancomycin-intermediate S. aureus (VISA) at different concentrations. S. aureus NCTC8325 is chosen as a model strain to explore further the berberine effect. The MIC of berberine for S. aureus NCTC8325 is 256 µg ml-1. Berberine below 32 µg ml-1 inhibits the dispersal of biofilm and stimulates clumping of cells of NCTC8325 in a concentration-dependent manner, while not showing obvious inhibition on the bacterial growth. The transcription of the key negative regulator of biofilm dispersal AgrA is decreased and an agrA mutant forms biofilm reaching to a similar level of biomass to WT in the presence of berberine at 32 µg ml-1. Transcription of some genes involving synthesis of biofilm structure components, including polysaccharide intracellular adhesin (PIA), proteins and eDNA were also up-regulated, especially icaA for PIA synthesis. And consistently, PIA content was increased in cells exposed to berberine at 32 µg ml-1. This study reveals the dependence of berberine inhibition of biofilm dispersal on the Agr system, which is the first report exploring the molecule mechanism of the berberine effect on the biofilm of S. aureus.
Collapse
Affiliation(s)
- Changfeng Zhang
- Clinical Laboratory Center, First Affiliated Hospital, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, PR China
| | - Zhongliang Li
- Clinical Laboratory Center, First Affiliated Hospital, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, PR China
| | - Qing Pan
- Clinical Laboratory Center, First Affiliated Hospital, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, PR China
| | - Liping Fan
- Clinical Laboratory Center, First Affiliated Hospital, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, PR China
| | - Ting Pan
- School of Life Science and Medicine, University of Science and Technology of China, Hefei, Anhui, PR China
| | - Feng Zhu
- School of Life Science and Medicine, University of Science and Technology of China, Hefei, Anhui, PR China
| | - Qian Pan
- School of Life Science and Medicine, University of Science and Technology of China, Hefei, Anhui, PR China
| | - Li Shan
- Clinical Laboratory Center, First Affiliated Hospital, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, PR China
| | - Liping Zhao
- School of Life Science and Medicine, University of Science and Technology of China, Hefei, Anhui, PR China
| |
Collapse
|
50
|
Pan Q, Brulin D, Campo E. Evaluation of a Wireless Home Sleep Monitoring System Compared to Polysomnography. Ing Rech Biomed 2022. [DOI: 10.1016/j.irbm.2022.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
|