bluuebunny/crossref_metadata_2025 huggingface dataset:
Vitamin C Alleviates the Risk of Gestational Diabetes Mellitus Associated With Exposure to Metals
Authors: Wang Ying , Wu Weiwei , Zhang Ping , Chen Xi , Feng Yongliang , Yang Hailan , Jin Lan , Huang Huang , Shi Xiaoming , Wang Suping , Zhang Yawei
Published: July 2024

Background: Exposure to heavy metals has been suggested to increase the risk of gestational diabetes mellitus (GDM) through the oxidative stress pathway. The study is aimed at examining whether vitamin C could modify the association between exposure to heavy metals and risk of GDM.

Methods: We conducted a case‐control study in Taiyuan, China, with 776 GDM cases and 776 controls. Data on vitamin C intake from diet and supplements were collected through questionnaires. Concentrations of metals in participants’ blood were measured using inductively coupled plasma‐mass spectrometry (ICP‐MS). Unconditional logistic regression models were applied to estimate effect modification of vitamin C on the association between heavy metals and GDM.

Results: Women with higher blood levels of mercury (Hg) (odds ratio (OR) = 2.36, 95% confidence interval (CI): 1.43, 3.92 and 2.04, 95% CI: 1.20, 3.46 for the second and third vs. the first tertile) and arsenic (As) (OR = 2.46, 95% CI: 1.37, 4.43 and 2.16, 95% CI: 1.12, 4.17 for the second and third vs. the first tertile) exposure were associated with increased risk of GDM among women without vitamin C supplement use and having dietary vitamin C intake < 85 mg/day. We found no significant association with metals among women who took vitamin C supplements and/or dietary vitamin C ≥ 85 mg/day. Significant interactions were observed between vitamin C and exposures to metals (i.e., Hg and As) on the risk of GDM (Pinteraction = 0.048 and 0.045, respectively).

Conclusions: Our study, for the first time, suggests that vitamin C supplement use or higher dietary vitamin C intake during preconception and early pregnancy could alleviate the risk of GDM associated with exposure to As and Hg. The results warrant further investigation.
Correlations of Serum Lipid Parameters and Atherogenic Indices With Left Ventricular Diastolic Dysfunction Among Apparently Healthy Patients With Type 2 Diabetes Mellitus: A Multicenter In‐Hospital Cross‐Sectional Study
Authors: Dienda Yves Mayambu , On′kin Jean-Bosco Kasiam Lasi , Natuhoyila Aliocha Nkodila , Lubenga Yves , Swambulu Tresor Mvunzi , M’buyamba-Kabangu Jean-René , Longo-Mbenza Benjamin , Phanzu Bernard Kianu
Published: July 2024

Background: In adolescents with Type 1 diabetes, lipid ratios are predictors of left ventricular diastolic dysfunction (LVDD). However, whether this also applies to adults with Type 2 Diabetes Mellitus (T2DM) is unclear. This study is aimed at assessing the correlations of serum lipid parameters and atherogenic indices with LVDD in patients with T2DM.

Methods: This cross‐sectional study included 203 patients with T2DM aged 59.9 ± 13.6 years (111 males, sex ratio: 1 : 2 in favor of males) from eight randomly selected urban hospitals. Demographic information was collected, an anthropometric assessment was performed, and blood pressure was measured. Fasting blood samples were obtained to assess total cholesterol (TC), high‐density lipoprotein cholesterol (HDL‐C), low‐density lipoprotein cholesterol (LDL‐C), triglycerides (TGs), glucose, and glycated hemoglobin. The atherogenic index of plasma (AIP), Castelli Risk Index I (CRI‐I), Castelli Risk Index II (CRI‐II), atherogenic coefficient, and non‐HDL‐C were determined using specific formulas. Diastolic function was assessed using echocardiography as per the 2016 updated guidelines of the American Society of Echocardiography (ASE) and the European Association of Cardiovascular Imaging (EACVI).

Results: Approximately 47.8% of the participants had LVDD. Compared with participants with normal diastolic function, those with LVDD were more likely to be older than 55 years (p < 0.001), tended to have obesity (p = 0.045), had a higher risk of developing dyslipidemia (p = 0.041), and higher AIP and CRI‐II (p < 0.05) levels while having similar low HDL‐C and hypertriglyceridemia frequencies. In the multivariate model adjusting for age, high AIP (adjusted odds ratio [aOR], 3.37; 95% confidence interval [CI], 1.22–5.34) and high CRI‐II (aOR: 3.80; 95% CI: 2.25–6.35) were independent determinants of LVDD.

Conclusions: These results highlight the importance of considering atherogenic indices, primarily AIP and CRI‐II in the management of T2DM patients. High AIP and high CRI‐II could serve as surrogate markers of LVDD, an early cardiovascular manifestation in patients with T2DM.
Resting‐State Brain Dynamics Unique to Anxiety in Major Depressive Disorder
Authors: Du Yingying , Luo Qianyi , Zou Yurong , Nie Huiqin , Li Yuhong , Lin Xiaohui , Shang Herui , Peng Hongjun
Published: July 2024

Background. Major depressive disorder with anxiety (MDD‐A) is considered as a clinical subphenotype of major depressive disorder (MDD). There continues to be debate regarding the legitimacy of differentiating between the two diagnoses and their neurobiological foundations, given that the symptoms of MDD and MDD‐A overlap. However, there is still a dearth of research that delineates the dynamic alteration in the brain activity unique to anxiety in MDD with resting‐state functional magnetic resonance imaging (R‐fMRI). Methods. 30 patients with MDD, 45 patients with MDD‐A, and 46 healthy controls completed R‐fMRI scans. Dynamic analysis was utilized to generate many widely used measures, such as voxel‐mirrored homotopic connectivity, global signal correlation, regional homogeneity, amplitude of low‐frequency fluctuations, and network degree centrality. Concordance between these indices was assessed with Kendall’s W coefficient for both volume and voxel‐wise concordance. Finally, the differences in voxel‐wise concordance among the groups were looked at, and their relationship to clinical factors was assessed. Results. Compared to the healthy control group, both MDD and MDD‐A exhibited decreased dynamic R‐fMRI indices in the bilateral calcarine, left postcentral gyrus, inferior parietal lobe, right lingual gyrus, and middle occipital gyrus. In comparison to the MDD group, the MDD‐A group displayed a reduction in voxel‐wise concordance in the left medial superior frontal gyrus. Furthermore, it was observed that the MDD and MDD‐A groups both exhibited a negative correlation between anxiety levels and voxel‐wise concordance in the left medial superior frontal gyrus. Conclusions. The aberrant voxel‐wise concordance of the left medial superior frontal gyrus may differentiate the neurobiological aspects of MDD with anxiety symptom from MDD. These findings indicate the underlying mechanisms implicated in MDD with anxiety symptom while highlighting the significance of accounting for heterogeneity in depression research.
Intelligent Renewable Energy Agent‐Based Distributed Control Design for Frequency Regulation and Economic Dispatch
Authors: Khan Amjad , Khattak Amjad Ullah , Khan Bilal , Ali Sahibzada Muhammad , Ullah Zahid , Mehmood Faisal
Published: July 2024

The Distributed Renewable Energy Sources (DRESs) integrate hybrid microgrid and prosumer activities that constitute a dynamic system characterized by unknown network parameters. The dynamic system faces challenges, such as intermittent power supply due to low inertia, renewable intermittence, plug‐and‐play prosumer activities, network topology variations, and a lack of constraint handling. These complexities pose significant issues in designing effective control for frequency regulation and consensus‐based economic load dispatch (ELD) within DRES to meet varying load demands. To address the above challenges, this research employs a machine learning‐based distributed multiagent consensus design that offers a rapid and robust approach, mitigating the limitations associated with the Distributed Average Integral (DAI) control design. The proposed multiagent scheme empowers the successful implementation of ELD and frequency regulation, accommodating the intermittent DRES, diverse network topologies, and the dynamic plug‐and‐play activities of prosumers. Moreover, an optimization‐based DAI tuning model is introduced to overcome tuning limitations. Intelligent renewable energy agents are trained through machine learning‐based regression models that use root mean square error metrics for performance evaluations. The intelligent agents employ DAI control to overcome inherent limitations. The effectiveness of the machine learning‐based DAI is thoroughly evaluated using the DRES‐based IEEE 14‐bus hybrid microgrid system. The quantitative results prove its efficacy in addressing the complex challenges of integrated microgrid dynamics.
Modeling the Effects of Ehrlichia chaffeensis and Movement on Dogs
Authors: Agusto Folashade B. , Drum Jaimie
Published: July 2024

Ehrlichia chaffeensis is a tick‐borne infectious disease transmitted by Amblyomma americanum tick. This infectious disease was discovered in the 1970s when military dogs were returning from the Vietnam War. The disease was found to be extremely severe in German Shepherds, Doberman Pinschers, Belgium Malinois, and Siberian Huskies. In this study, we developed a mathematical model for dogs and ticks infected with Ehrlichia chaffeensis with the aim of understanding the impact of movement on dogs as they move from one location to another. This could be a dog taken on a walk in an urban area or on a hike in the mountains. We carried out a global sensitivity analysis with and without movement between three locations using as response functions the sum of acutely and chronically infected ticks and the sum of infected ticks in all life stages. The parameters with the most significant impact on the response functions are dogs disease progression rate, dogs chronic infection progression rate, dogs recovery rate, dogs natural death rate, acutely and chronically infected dogs disease‐induced death rate, dogs birth rate, eggs maturation rates, tick biting rate, dogs and ticks transmission probabilities, ticks death rate, and the location carrying capacity. Our simulation results show that infection in dogs and ticks are localized in the absence of movement and spreads between locations with highest infection in locations with the highest rate movement. Also, the effect of the control measures which reduces infection trickles to other locations (trickling effect) when controls are implemented in a single location. The trickling effect is strongest when control is implemented in a location with the highest movement rate into it.
Current Trends in the Surgical Treatment of Fibular Fractures: A National Database Study of Intramedullary vs. Plate Fixation Practice Patterns, Complications, and Cost
Authors: Zhang Douglas , Litvak Audrey , Lin Nicholas , Pirkle Sean , Strelzow Jason , Hynes Kelly
Published: July 2024

Existing primary evidence comparing fibular intramedullary fixation (IMF) with traditional plate fixation (PF) for the treatment of distal fibular fractures remains limited by modest sample sizes. Using a large national database, this study aims to compare use rates, fracture patterns, patient characteristics, time to surgery, complication rates, and cost between fibular IMF and PF within the United States. Adults treated with fibular IMF or PF between October 2015 and October 2021 were identified within the PearlDiver Database. The ratio of IMF‐treated to PF‐treated patients was tracked temporally to compare use rates. Fracture patterns were determined using fracture diagnoses within one‐month preceding surgery. Further comparisons of IMF‐ and PF‐treated groups only included patients with at least 12 months of follow‐up, and patients with upper tibia or tibia shaft fractures were excluded. An analysis of cohorts matched at a 1 : 4 (IMF: PF) ratio to control for risk factors was performed to compare time to surgery, complication rates (infection, nonunion, malunion, revision, hardware removal, pulmonary embolism, and deep vein thrombosis), and cost. 39329 patients (2294 IMF and 37035 PF) were identified. IMF use trended upwards relative to PF use over time. Tibia and fibula shaft fractures were the most common injuries in IMF patients versus bimalleolar and trimalleolar fractures in PF patients. A higher proportion of IMF patients had open fractures. IMF patients were younger, with higher mean ECI, fewer female patients, and higher rates of CKD. Percutaneous approaches were more common among IMF patients. There were no significant differences in time to surgery or complication rates. IMF was less costly. The popularity of IMF trended upwards across the study period. IMF was used more commonly in injuries involving higher energy trauma and soft tissue disruption. Overall, IMF patients were younger with more comorbidities. When used in similar populations, IMF appears to be a cost‐effective alternative to PF.
Supplementary Figure 3 from CRISPR–Cas9 Screening Identifies KRAS-Induced COX2 as a Driver of Immunotherapy Resistance in Lung Cancer
Authors: Boumelha Jesse , de Castro Andrea , Bah Nourdine , Cha Hongui , de Carné Trécesson Sophie , Rana Sareena , Tomaschko Mona , Anastasiou Panayiotis , Mugarza Edurne , Moore Christopher , Goldstone Robert , East Phil , Litchfield Kevin , Lee Se-Hoon , Molina-Arcas Miriam , Downward Julian
Published: July 2024

Supplementary Figure 3. Oncogenic KRAS inhibits tumor-intrinsic IFN responses via Myc
Supplementary Table 1 from Metabolic Reprogramming Is an Initial Step in Pancreatic Carcinogenesis That Can Be Targeted to Inhibit Acinar-to-Ductal Metaplasia
Authors: Neuß Thorsten , Chen Min-Chun , Wirges Nils , Usluer Sinem , Oellinger Rupert , Lier Svenja , Dudek Michael , Madl Tobias , Jastroch Martin , Steiger Katja , Schmitz Werner , Einwächter Henrik , Schmid Roland M.
Published: July 2024

Research Resource Identifiers and sources of reagents and resources
Figure 6 from CRISPR–Cas9 Screening Identifies KRAS-Induced COX2 as a Driver of Immunotherapy Resistance in Lung Cancer
Authors: Boumelha Jesse , de Castro Andrea , Bah Nourdine , Cha Hongui , de Carné Trécesson Sophie , Rana Sareena , Tomaschko Mona , Anastasiou Panayiotis , Mugarza Edurne , Moore Christopher , Goldstone Robert , East Phil , Litchfield Kevin , Lee Se-Hoon , Molina-Arcas Miriam , Downward Julian
Published: July 2024

Oncogenic KRAS drives immunosuppressive COX2 expression in lung adenocarcinoma. A, Immunoblot for COX2 (left) and ELISA analysis for PGE2 concentration (right) in KPAR cells treated with 10 nmol/L trametinib (MEKi) for 24 hours or 48 hours. B and C, Immunoblot for COX2 (B) and ELISA analysis for PGE2 concentration (C) in KRASG12C mouse cancer cell lines treated with 100 nmol/L MRTX849 for 24 hours or 48 hours. D, COX2 mRNA expression in 3LL ΔNRAS and KPARG12C orthotopic tumors treated for 7 days with 50 mg/kg MRTX849. E, COX2-associated inflammatory signature (COX-IS) assessed by qPCR in 3LL ΔNRAS and KPARG12C orthotopic tumors treated as shown in D. F, Immunoblot for COX2 in human KRASG12C lung cancer cell lines treated with MRTX849 for 24 hours. A549 (KRASG12S) cells were used as the negative control. G, COX2 expression in RAS-low and RAS-high human lung cancer cell lines from the CCLE database. RPKM, reads per kilobase per million mapped reads. H, COX-IS in lung adenocarcinoma samples from TCGA stratified by RAS activity into five different groups, which are associated with specific co-occurring mutations (RAG0, KRAS wild-type; RAG1, KRAS/LKB1; RAG2, KRAS; RAG3, KRAS/TP53; RAG4, KRAS/CDKN2A). I, Immunoblot for COX2 in KPARG12C cells treated for 2, 3, or 5 days with 100 nmol/L MRTX849. J, COX2 mRNA expression in MRTX849 on-treatment and relapsed KPARG12C tumors. K, Kaplan–Meier survival of mice treated with daily oral gavage of 50 mg/kg MRTX849 alone or in combination with 30 mg/kg celecoxib, n = 8–20 per group. Analysis of survival curves was carried out using the log-rank (Mantel–Cox) test. Data are represented as mean ± SEM for A, C–E, and J, n = 8–9 per group. Groups were compared using unpaired, two-tailed Student t test (A, C–E, and G) or one-way ANOVA, FDR 0.05 (H and J). *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001.
Fig. S2 from Metabolic Reprogramming Is an Initial Step in Pancreatic Carcinogenesis That Can Be Targeted to Inhibit Acinar-to-Ductal Metaplasia
Authors: Neuß Thorsten , Chen Min-Chun , Wirges Nils , Usluer Sinem , Oellinger Rupert , Lier Svenja , Dudek Michael , Madl Tobias , Jastroch Martin , Steiger Katja , Schmitz Werner , Einwächter Henrik , Schmid Roland M.
Published: July 2024

Different stimuli show comparable ADM formation in vitro
Figure 2 from CRISPR–Cas9 Screening Identifies KRAS-Induced COX2 as a Driver of Immunotherapy Resistance in Lung Cancer
Authors: Boumelha Jesse , de Castro Andrea , Bah Nourdine , Cha Hongui , de Carné Trécesson Sophie , Rana Sareena , Tomaschko Mona , Anastasiou Panayiotis , Mugarza Edurne , Moore Christopher , Goldstone Robert , East Phil , Litchfield Kevin , Lee Se-Hoon , Molina-Arcas Miriam , Downward Julian
Published: July 2024

Tumor-intrinsic COX2 suppresses antitumor immunity. A, Kaplan–Meier survival of mice treated with 200 μg anti-NK1.1 and/or 200 μg anti-CD8 or corresponding isotype control (n = 5–7 per group) after orthotopic transplantation of Ptgs2−/− cells. Treatment was initiated 3 days before transplantation and was administered once weekly until endpoint. Analysis of survival curves was carried out using the log-rank (Mantel–Cox) test. B, Frequency of tumor-infiltrating T-cell populations and NK cells in KPAR and Ptgs2−/− orthotopic tumors. C, Quantification and representative IHC staining for NKp46+ NK cells. Scale bar, 100 μm. D, Stacked bar plots showing frequency of central memory (Tcm—CD44+CD62L+), effector memory (Tem—CD44+CD62L−), and naïve (CD44−CD62L+) CD8+ (left) and CD4+ (right) T cells. E, Surface expression (mean fluorescence intensity, MFI) of CD44 on CD8+ (left) and CD4+ (right) T cells. F, Surface expression (mean fluorescence intensity) of CD86 (left) and MHC II (right) on CD11b+ macrophages and CD11c+ macrophages. G, Percentage of Arg1+ CD11b+ macrophages. H, Quantification and representative IHC staining for the immunosuppressive macrophage marker Arg1. Scale bar, 100 μm. I, Representative flow cytometry plots of CD206 and MHC II surface expression on CD11b+ macrophages (left) and quantification of the M1/M2 ratio based on the gated populations (right). J, Heatmap showing hierarchical clustering of KPAR and Ptgs2−/− tumors based on mRNA expression of antitumor immunity genes assessed by qPCR. Data are represented as mean ± SEM for B–I, n = 6–9 per group. Symbols represent pooled tumors from individual mice. Statistics were calculated by paired, two-tailed Student t test (B, C, and E–I) or two-way ANOVA, FDR 0.05 (D). *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001.
Supplementary Figures from Multiplexed Imaging Mass Cytometry Analysis Characterizes the Vascular Niche in Pancreatic Cancer
Authors: Sussman Jonathan H. , Kim Nathalia , Kemp Samantha B. , Traum Daniel , Katsuda Takeshi , Kahn Benjamin M. , Xu Jason , Kim Il-Kyu , Eskandarian Cody , Delman Devora , Beatty Gregory L. , Kaestner Klaus H. , Simpson Amber L. , Stanger Ben Z.
Published: July 2024

Supplementary Figures S1-S7
Figure S2 from IL1R2 Blockade Alleviates Immunosuppression and Potentiates Anti-PD-1 Efficacy in Triple-Negative Breast Cancer
Authors: Xia Jie , Zhang Lixing , Peng Xilei , Tu Juchuanli , Li Siqin , He Xueyan , Li Fengkai , Qiang Jiankun , Dong Haonan , Deng Qiaodan , Liu Cuicui , Xu Jiahui , Zhang Rui , Liu Quentin , Hu Guohong , Liu Chong , Jiang Yi-Zhou , Shao Zhi-Ming , Chen Ceshi , Liu Suling
Published: July 2024

Supplementary Figure S2
Figure S11 from IL1R2 Blockade Alleviates Immunosuppression and Potentiates Anti-PD-1 Efficacy in Triple-Negative Breast Cancer
Authors: Xia Jie , Zhang Lixing , Peng Xilei , Tu Juchuanli , Li Siqin , He Xueyan , Li Fengkai , Qiang Jiankun , Dong Haonan , Deng Qiaodan , Liu Cuicui , Xu Jiahui , Zhang Rui , Liu Quentin , Hu Guohong , Liu Chong , Jiang Yi-Zhou , Shao Zhi-Ming , Chen Ceshi , Liu Suling
Published: July 2024

Supplementary Figure S11
Figure S5 from HiChIP-Based Epigenomic Footprinting Identifies a Promoter Variant of UXS1 That Confers Genetic Susceptibility to Gastroesophageal Cancer
Authors: Gnanapragasam Ansley , Kirbizakis Eftyhios , Li Anna , White Kyle H. , Mortenson Katelyn L. , Cavalcante de Moura Juliana , Jawhar Wajih , Yan Yifei , Falter Reilly , Russett Colleen , Giannias Betty , Camilleri-Broët Sophie , Bertos Nicholas , Cools-Lartigue Jonathan , Garzia Livia , Sangwan Veena , Ferri Lorenzo , Zhang Xiaoyang , Bailey Swneke D.
Published: July 2024

Verification of the reference and variant sequences of the luciferase constructs.
Figure S2 from HiChIP-Based Epigenomic Footprinting Identifies a Promoter Variant of UXS1 That Confers Genetic Susceptibility to Gastroesophageal Cancer
Authors: Gnanapragasam Ansley , Kirbizakis Eftyhios , Li Anna , White Kyle H. , Mortenson Katelyn L. , Cavalcante de Moura Juliana , Jawhar Wajih , Yan Yifei , Falter Reilly , Russett Colleen , Giannias Betty , Camilleri-Broët Sophie , Bertos Nicholas , Cools-Lartigue Jonathan , Garzia Livia , Sangwan Veena , Ferri Lorenzo , Zhang Xiaoyang , Bailey Swneke D.
Published: July 2024

UXS1 is a selective dependency in gastroesophageal cancers.
Figure S8 from ASPSCR1::TFE3 Drives Alveolar Soft Part Sarcoma by Inducing Targetable Transcriptional Programs
Authors: Sicinska Ewa , Kola Vijaya S.R. , Kerfoot Joseph A. , Taddei Madeleine L. , Al-Ibraheemi Alyaa , Hsieh Yi-Hsuan , Church Alanna J. , Landesman-Bollag Esther , Landesman Yosef , Hemming Matthew L.
Published: July 2024

Figure S8. H3K27ac ChIP-seq, input and gene expression of BHLHE41.
Figure S18 from ASPSCR1::TFE3 Drives Alveolar Soft Part Sarcoma by Inducing Targetable Transcriptional Programs
Authors: Sicinska Ewa , Kola Vijaya S.R. , Kerfoot Joseph A. , Taddei Madeleine L. , Al-Ibraheemi Alyaa , Hsieh Yi-Hsuan , Church Alanna J. , Landesman-Bollag Esther , Landesman Yosef , Hemming Matthew L.
Published: July 2024

Figure S18. Effects of palbociclib on ASPS growth and morphology in vitro.
Figure S2 from ACSM1 and ACSM3 Regulate Fatty Acid Metabolism to Support Prostate Cancer Growth and Constrain Ferroptosis
Authors: Shrestha Raj K. , Nassar Zeyad D. , Hanson Adrienne R. , Iggo Richard , Townley Scott L. , Dehairs Jonas , Mah Chui Y. , Helm Madison , Alizadeh-Ghodsi Mohammadreza , Pickering Marie , Ghesquière Bart , Watt Matthew J. , Quek Lake-Ee , Hoy Andrew J. , Tilley Wayne D. , Swinnen Johannes V. , Butler Lisa M. , Selth Luke A.
Published: July 2024

ACSM1 and ACSM3 mRNA levels are positively correlated with AR activity.
Supplementary Data from A Virus-Inspired Inhalable Liponanogel Induces Potent Antitumor Immunity and Regression in Metastatic Lung Tumors
Authors: Li Junyao , Luo Lanqing , He Jia , Yu Jinchao , Li Xinyan , Shen Xueying , Zhang Junxia , Li Sai , Karp Jeffrey M. , Kuai Rui
Published: July 2024

Supplementary Figures
Figure S10 from ACSM1 and ACSM3 Regulate Fatty Acid Metabolism to Support Prostate Cancer Growth and Constrain Ferroptosis
Authors: Shrestha Raj K. , Nassar Zeyad D. , Hanson Adrienne R. , Iggo Richard , Townley Scott L. , Dehairs Jonas , Mah Chui Y. , Helm Madison , Alizadeh-Ghodsi Mohammadreza , Pickering Marie , Ghesquière Bart , Watt Matthew J. , Quek Lake-Ee , Hoy Andrew J. , Tilley Wayne D. , Swinnen Johannes V. , Butler Lisa M. , Selth Luke A.
Published: July 2024

Loss of ACSM1 and ACSM3 causes metabolic defects.
Figure S1 from ACSM1 and ACSM3 Regulate Fatty Acid Metabolism to Support Prostate Cancer Growth and Constrain Ferroptosis
Authors: Shrestha Raj K. , Nassar Zeyad D. , Hanson Adrienne R. , Iggo Richard , Townley Scott L. , Dehairs Jonas , Mah Chui Y. , Helm Madison , Alizadeh-Ghodsi Mohammadreza , Pickering Marie , Ghesquière Bart , Watt Matthew J. , Quek Lake-Ee , Hoy Andrew J. , Tilley Wayne D. , Swinnen Johannes V. , Butler Lisa M. , Selth Luke A.
Published: July 2024

Assessment of ACSM1 antibody by immunohistochemistry.
Supplementary Fig 4 from A Multimodal Drug–Diet–Immunotherapy Combination Restrains Melanoma Progression and Metastasis
Authors: Oatman Nicole , Gawali Mruniya V. , Congrove Sunny , Cáceres Román , Sukumaran Abitha , Gupta Nishtha , Murugesan Narmadha , Arora Priyanka , Subramanian Srividhya , Choi Kwangmin , Abdel-Malek Zalfa , Reisz Julie A. , Stephenson Daniel , Amaravadi Ravi , Desai Pankaj , D’Alessandro Angelo , Komurov Kakajan , Dasgupta Biplab
Published: July 2024

Supplementary Fig 4
Figure S9 from ACSM1 and ACSM3 Regulate Fatty Acid Metabolism to Support Prostate Cancer Growth and Constrain Ferroptosis
Authors: Shrestha Raj K. , Nassar Zeyad D. , Hanson Adrienne R. , Iggo Richard , Townley Scott L. , Dehairs Jonas , Mah Chui Y. , Helm Madison , Alizadeh-Ghodsi Mohammadreza , Pickering Marie , Ghesquière Bart , Watt Matthew J. , Quek Lake-Ee , Hoy Andrew J. , Tilley Wayne D. , Swinnen Johannes V. , Butler Lisa M. , Selth Luke A.
Published: July 2024

ACSM1 and ACSM3 are major regulators of the prostate cancer lipidome.
Figure S7 from ACSM1 and ACSM3 Regulate Fatty Acid Metabolism to Support Prostate Cancer Growth and Constrain Ferroptosis
Authors: Shrestha Raj K. , Nassar Zeyad D. , Hanson Adrienne R. , Iggo Richard , Townley Scott L. , Dehairs Jonas , Mah Chui Y. , Helm Madison , Alizadeh-Ghodsi Mohammadreza , Pickering Marie , Ghesquière Bart , Watt Matthew J. , Quek Lake-Ee , Hoy Andrew J. , Tilley Wayne D. , Swinnen Johannes V. , Butler Lisa M. , Selth Luke A.
Published: July 2024

Effect of shRNA-mediated knockdown of ACSM3 on prostate cancer growth.
Figure S13 from ACSM1 and ACSM3 Regulate Fatty Acid Metabolism to Support Prostate Cancer Growth and Constrain Ferroptosis
Authors: Shrestha Raj K. , Nassar Zeyad D. , Hanson Adrienne R. , Iggo Richard , Townley Scott L. , Dehairs Jonas , Mah Chui Y. , Helm Madison , Alizadeh-Ghodsi Mohammadreza , Pickering Marie , Ghesquière Bart , Watt Matthew J. , Quek Lake-Ee , Hoy Andrew J. , Tilley Wayne D. , Swinnen Johannes V. , Butler Lisa M. , Selth Luke A.
Published: July 2024

Overexpression of ACSM1 or ACSM3 reverses lipid peroxidation elicited by siRNA-mediated knockdown of AR.
Figure S11 from ACSM1 and ACSM3 Regulate Fatty Acid Metabolism to Support Prostate Cancer Growth and Constrain Ferroptosis
Authors: Shrestha Raj K. , Nassar Zeyad D. , Hanson Adrienne R. , Iggo Richard , Townley Scott L. , Dehairs Jonas , Mah Chui Y. , Helm Madison , Alizadeh-Ghodsi Mohammadreza , Pickering Marie , Ghesquière Bart , Watt Matthew J. , Quek Lake-Ee , Hoy Andrew J. , Tilley Wayne D. , Swinnen Johannes V. , Butler Lisa M. , Selth Luke A.
Published: July 2024

Loss of ACSM1 and ACSM3 causes lipid peroxidation and oxidative stress.
Data from CRISPR–Cas9 Screening Identifies KRAS-Induced COX2 as a Driver of Immunotherapy Resistance in Lung Cancer
Authors: Boumelha Jesse , de Castro Andrea , Bah Nourdine , Cha Hongui , de Carné Trécesson Sophie , Rana Sareena , Tomaschko Mona , Anastasiou Panayiotis , Mugarza Edurne , Moore Christopher , Goldstone Robert , East Phil , Litchfield Kevin , Lee Se-Hoon , Molina-Arcas Miriam , Downward Julian
Published: July 2024

Abstract
Oncogenic KRAS impairs antitumor immune responses. As effective strategies to combine KRAS inhibitors and immunotherapies have so far proven elusive, a better understanding of the mechanisms by which oncogenic KRAS drives immune evasion is needed to identify approaches that could sensitize KRAS-mutant lung cancer to immunotherapy. In vivo CRISPR–Cas9 screening in an immunogenic murine lung cancer model identified mechanisms by which oncogenic KRAS promotes immune evasion, most notably via upregulation of immunosuppressive COX2 in cancer cells. Oncogenic KRAS potently induced COX2 in both mouse and human lung cancer, which was suppressed using KRAS inhibitors. COX2 acted via prostaglandin E2 (PGE2) to promote resistance to immune checkpoint blockade (ICB) in lung adenocarcinoma. Targeting COX2/PGE2 remodeled the tumor microenvironment by inducing proinflammatory polarization of myeloid cells and influx of activated cytotoxic CD8+ T cells, which increased the efficacy of ICB. Restoration of COX2 expression contributed to tumor relapse after prolonged KRAS inhibition. These results provide the rationale for testing COX2/PGE2 pathway inhibitors in combination with KRASG12C inhibition or ICB in patients with KRAS-mutant lung cancer.

Significance: COX2 signaling via prostaglandin E2 is a major mediator of immune evasion driven by oncogenic KRAS that promotes immunotherapy and KRAS-targeted therapy resistance, suggesting effective combination treatments for KRAS-mutant lung cancer.
Data from ACSM1 and ACSM3 Regulate Fatty Acid Metabolism to Support Prostate Cancer Growth and Constrain Ferroptosis
Authors: Shrestha Raj K. , Nassar Zeyad D. , Hanson Adrienne R. , Iggo Richard , Townley Scott L. , Dehairs Jonas , Mah Chui Y. , Helm Madison , Alizadeh-Ghodsi Mohammadreza , Pickering Marie , Ghesquière Bart , Watt Matthew J. , Quek Lake-Ee , Hoy Andrew J. , Tilley Wayne D. , Swinnen Johannes V. , Butler Lisa M. , Selth Luke A.
Published: July 2024

Abstract
Solid tumors are highly reliant on lipids for energy, growth, and survival. In prostate cancer, the activity of the androgen receptor (AR) is associated with reprogramming of lipid metabolic processes. Here, we identified acyl-CoA synthetase medium chain family members 1 and 3 (ACSM1 and ACSM3) as AR-regulated mediators of prostate cancer metabolism and growth. ACSM1 and ACSM3 were upregulated in prostate tumors compared with nonmalignant tissues and other cancer types. Both enzymes enhanced proliferation and protected prostate cancer cells from death in vitro, whereas silencing ACSM3 led to reduced tumor growth in an orthotopic xenograft model. ACSM1 and ACSM3 were major regulators of the prostate cancer lipidome and enhanced energy production via fatty acid oxidation. Metabolic dysregulation caused by loss of ACSM1/3 led to mitochondrial oxidative stress, lipid peroxidation, and cell death by ferroptosis. Conversely, elevated ACSM1/3 activity enabled prostate cancer cells to survive toxic levels of medium chain fatty acids and promoted resistance to ferroptosis-inducing drugs and AR antagonists. Collectively, this study reveals a tumor-promoting function of medium chain acyl-CoA synthetases and positions ACSM1 and ACSM3 as key players in prostate cancer progression and therapy resistance.

Significance: Androgen receptor–induced ACSM1 and ACSM3 mediate a metabolic pathway in prostate cancer that enables the utilization of medium chain fatty acids for energy production, blocks ferroptosis, and drives resistance to clinically approved antiandrogens.
Supplementary Table S9 from Biomarker Identification and Risk Prediction Model Development for Differentiated Thyroid Carcinoma Lung Metastasis Based on Primary Lesion Proteomics
Authors: Peng Xiaoqi , Zhao Hongbo , Ye Lijuan , Hou Fei , Yi Zihan , Ren Yanxin , Lu Lin , Chen Fukun , Lv Juan , Wang Yinghui , Cai Haolin , Zheng Xihua , Yang Qing , Chen Ting
Published: July 2024

Table S9. Information and associated functions of 8 hub proteins
Supplementary Materials S1 from Plasma Metabolic Profiles-Based Prediction of Induction Chemotherapy Efficacy in Nasopharyngeal Carcinoma: Results of a Bidirectional Clinical Trial
Authors: Tang Tingxi , Zhou Zhenhua , Chen Min , Li Nan , Sun Jianda , Chen Zekai , Xiao Ting , Wang Xiaoqing , Zhang Longshan , Wang Yingqiao , Zhang Hanbin , Zheng Xiuting , Chen Bei , Ye Feng , Guan Jian
Published: July 2024

Supplementary Materials of raw data behind figures and tables in manuscript
Supplemental Figure 1 from CDKN2A/B Homozygous Deletion Sensitizes IDH-Mutant Glioma to CDK4/6 Inhibition
Authors: Nasser Ali M. , Melamed Lisa , Wetzel Ethan A. , Chang Jenny Chia-Chen , Nagashima Hiroaki , Kitagawa Yosuke , Muzyka Logan , Wakimoto Hiroaki , Cahill Daniel P. , Miller Julie J.
Published: July 2024

Supplemental Figure 1: Representative raw flow cytometry profiles for each cell line used for creating summary data in Figure 3A.
Supplementary Figure S3 from MYC Inhibition Potentiates CD8+ T Cells Against Multiple Myeloma and Overcomes Immunomodulatory Drug Resistance
Authors: Davis Lorraine N. , Walker Zachary J. , Reiman Lauren T. , Parzych Sarah E. , Stevens Brett M. , Jordan Craig T. , Forsberg Peter A. , Sherbenou Daniel W.
Published: July 2024

Supplemental Figure S3. MYCi975 effects on MM cell lines.
Supplementary Figure S1 from MYC Inhibition Potentiates CD8+ T Cells Against Multiple Myeloma and Overcomes Immunomodulatory Drug Resistance
Authors: Davis Lorraine N. , Walker Zachary J. , Reiman Lauren T. , Parzych Sarah E. , Stevens Brett M. , Jordan Craig T. , Forsberg Peter A. , Sherbenou Daniel W.
Published: July 2024

Supplemental Figure S1. Intracellular flow cytometry of IKZF1/3: expression validation and iberdomide treatment.
Supplementary Table S2 from Toripalimab Plus Bevacizumab as First-line Treatment for Advanced Hepatocellular Carcinoma: A Prospective, Multicenter, Single-Arm, Phase II Trial
Authors: Chen Yajin , Du Chengyou , Shen Shunli , Zhang Wu , Shan Yunfeng , Lyu Ang , Wu Jianhui , Shang Changzhen , Luo Xuan , Wei Jinxing , Xiao Heng , Qiu Jianguo , Hua Yunpeng , Wang Shutong , Wang Ting , Dai Shengjie , Zhang Shuhao , Xie Bingying , Wu Yinghao , Hao Chunyi
Published: July 2024

Immune-related adverse events as assessed by investigator(safety analysis set)
Supplementary Table S1 from Phase II Study to Determine the Antitumor Activity and Safety of Simlukafusp Alfa (FAP-IL2v) Combined with Atezolizumab in Esophageal Cancer
Authors: Prenen Hans , Deva Sanjeev , Keam Bhumsuk , Lindsay Colin R. , Lugowska Iwona , Yang James C. , Longo Federico , de Miguel Maria , Ponz-Sarvise Mariano , Ahn Myung-Ju , Gumus Mahmut , Champiat Stephane , Italiano Antoine , Salas Sébastien , Perets Ruth , Arslan Cagatay , Cho Byoung C. , Evers Stefan , Boetsch Christophe , Marbach Daniel , Dejardin David , Sleiman Nassim , Ardeshir Caroline , Richard Muriel , Charo Jehad , Kraxner Anton , Keshelava Nino , Teichgräber Volker , Moreno Victor
Published: July 2024

Study representation of under-served communities
Supplementary Table S5 from Model-Informed Clinical Pharmacology Profile of a Novel Fixed-Dose Combination of Nivolumab and Relatlimab in Adult and Adolescent Patients with Solid Tumors
Authors: Zhao Yue , Hu Zheyi , Bathena Sai Praneeth , Keidel Sarah , Miller-Moslin Karen , Statkevich Paul , Bello Akintunde , Roy Amit , Suryawanshi Satyendra
Published: July 2024

Exposure Parameter Comparison between SAV Coadministration and FDC Cohorts in Part D1 Parameter (Unit) Co-Admin (N) FDC (N) Cycle/Day
Supplementary Figure S1 from Phase II Study to Determine the Antitumor Activity and Safety of Simlukafusp Alfa (FAP-IL2v) Combined with Atezolizumab in Esophageal Cancer
Authors: Prenen Hans , Deva Sanjeev , Keam Bhumsuk , Lindsay Colin R. , Lugowska Iwona , Yang James C. , Longo Federico , de Miguel Maria , Ponz-Sarvise Mariano , Ahn Myung-Ju , Gumus Mahmut , Champiat Stephane , Italiano Antoine , Salas Sébastien , Perets Ruth , Arslan Cagatay , Cho Byoung C. , Evers Stefan , Boetsch Christophe , Marbach Daniel , Dejardin David , Sleiman Nassim , Ardeshir Caroline , Richard Muriel , Charo Jehad , Kraxner Anton , Keshelava Nino , Teichgräber Volker , Moreno Victor
Published: July 2024

Pharmacodynamic analyses of peripheral blood
Supplementary Table S1 from Model-Informed Clinical Pharmacology Profile of a Novel Fixed-Dose Combination of Nivolumab and Relatlimab in Adult and Adolescent Patients with Solid Tumors
Authors: Zhao Yue , Hu Zheyi , Bathena Sai Praneeth , Keidel Sarah , Miller-Moslin Karen , Statkevich Paul , Bello Akintunde , Roy Amit , Suryawanshi Satyendra
Published: July 2024

Summary of Covariates in the Nivolumab Population Pharmacokinetic Analysis Dataset by Patient Population
Supplementary Figure S7 from Model-Informed Clinical Pharmacology Profile of a Novel Fixed-Dose Combination of Nivolumab and Relatlimab in Adult and Adolescent Patients with Solid Tumors
Authors: Zhao Yue , Hu Zheyi , Bathena Sai Praneeth , Keidel Sarah , Miller-Moslin Karen , Statkevich Paul , Bello Akintunde , Roy Amit , Suryawanshi Satyendra
Published: July 2024

Distribution of Model Predicted Relatlimab Exposures (Cavg1 and Cavgss) at 160 mg Q4W by Renal Function
Supplementary Figure S4 from Model-Informed Clinical Pharmacology Profile of a Novel Fixed-Dose Combination of Nivolumab and Relatlimab in Adult and Adolescent Patients with Solid Tumors
Authors: Zhao Yue , Hu Zheyi , Bathena Sai Praneeth , Keidel Sarah , Miller-Moslin Karen , Statkevich Paul , Bello Akintunde , Roy Amit , Suryawanshi Satyendra
Published: July 2024

Prediction-Corrected Visual Predictive Check of a) Nivolumab Concentrations versus Actual Time after Previous Dose, and b) Trough Nivolumab concentrations versus actual time after first dose in Adult 1L MEL and Adult Prior-IO MEL at 240 mg Q2W or 480 mg Q4W (relatlimab plus nivolumab), c) concentrations versus actual time after previous dose in pediatric patients (<18 Years), d) Trough concentrations versus actual time after first dose in pediatric patients (<18 years) [Full Nivolumab Population Pharmacokinetic Model]
Supplementary Figure S2 from Model-Informed Clinical Pharmacology Profile of a Novel Fixed-Dose Combination of Nivolumab and Relatlimab in Adult and Adolescent Patients with Solid Tumors
Authors: Zhao Yue , Hu Zheyi , Bathena Sai Praneeth , Keidel Sarah , Miller-Moslin Karen , Statkevich Paul , Bello Akintunde , Roy Amit , Suryawanshi Satyendra
Published: July 2024

Covariate Effects on Full Nivolumab Pharmacokinetic Model Parameters. Reference patient is a 60-year-old male, white/other race, baseline body weight = 75 kg, PS = 0, baseline ALB = 4 g/dL, baseline eGFR = 90 mL/min/1.73 m2, received nivolumab monotherapy, and with 1L MEL. Parameter estimate in a reference patient is considered as 100% (vertical solid line), and dashed vertical lines are at 80% and 125% of this value.
Supplementary Table S4 from Antibody–Drug Conjugate Sacituzumab Govitecan Enables a Sequential TOP1/PARP Inhibitor Therapy Strategy in Patients with Breast Cancer
Authors: Bardia Aditya , Sun Sheng , Thimmiah Nayana , Coates James T. , Wu Bogang , Abelman Rachel O. , Spring Laura , Moy Beverly , Ryan Phoebe , Melkonyan Mark N. , Partridge Ann , Juric Dejan , Peppercorn Jeffrey , Parsons Heather , Wander Seth A. , Attaya Victoria , Lormil Brenda , Shellock Maria , Nagayama Aiko , Bossuyt Veerle , Isakoff Steven J. , Tolaney Sara M. , Ellisen Leif W.
Published: July 2024

Table S4: Concurrent and sequential dose levels
Supplementary Table S2 from Antibody–Drug Conjugate Sacituzumab Govitecan Enables a Sequential TOP1/PARP Inhibitor Therapy Strategy in Patients with Breast Cancer
Authors: Bardia Aditya , Sun Sheng , Thimmiah Nayana , Coates James T. , Wu Bogang , Abelman Rachel O. , Spring Laura , Moy Beverly , Ryan Phoebe , Melkonyan Mark N. , Partridge Ann , Juric Dejan , Peppercorn Jeffrey , Parsons Heather , Wander Seth A. , Attaya Victoria , Lormil Brenda , Shellock Maria , Nagayama Aiko , Bossuyt Veerle , Isakoff Steven J. , Tolaney Sara M. , Ellisen Leif W.
Published: July 2024

Table S2: Adverse Effects with SG and Talazoparib combination in the phase 1b clinical trial
Supplementary Figure S2 from Antibody–Drug Conjugate Sacituzumab Govitecan Enables a Sequential TOP1/PARP Inhibitor Therapy Strategy in Patients with Breast Cancer
Authors: Bardia Aditya , Sun Sheng , Thimmiah Nayana , Coates James T. , Wu Bogang , Abelman Rachel O. , Spring Laura , Moy Beverly , Ryan Phoebe , Melkonyan Mark N. , Partridge Ann , Juric Dejan , Peppercorn Jeffrey , Parsons Heather , Wander Seth A. , Attaya Victoria , Lormil Brenda , Shellock Maria , Nagayama Aiko , Bossuyt Veerle , Isakoff Steven J. , Tolaney Sara M. , Ellisen Leif W.
Published: July 2024

Figure S2. Concurrent vs. sequential SG/talazoparib (TZP) in normal and tumor cells
Development of teaching materials for evaluating history learning to improve students' critical thinking skills
Authors: Fahruddin Fahruddin , Kurniawanti Merci Robbi , Nurgiansah T Heru , Gularso Dhiniaty
Published: July 2024

This study aims to find out: firstly, the qualifications for developing teaching materials to evaluate observation-based history learning and secondly the level of students' critical thinking skills. The results of this research contribute to improving students' critical thinking skills through the development of teaching materials. This research method is development (RD). The sample used was History Education students at PGRI Yogyakarta University. The instruments used were questionnaires and interview guidelines. The data analysis technique used is descriptive qualitative to explain observational and interview data, and quantitative descriptive statistical analysis techniques to measure the validity of experts and the effectiveness of teaching materials. This study resulted in firstly, expert tests showed content standards showed a score of 90%, language standards showed a score of 91.67%, and display standards showed a score of 81.67%; all three scores showed excellent and valid meaning, secondly, the average percentage of critical thinking indicators was 80.77% for the experimental class and 70.30% for the control class. The numbers in the experimental class show high effectiveness, so the results of this study conclude that the teaching materials for historical learning evaluation developed are very effective in improving students' critical thinking skills.
Ritual learning method for mystical ijazah at pondok pesantren salafiyah
Authors: Ayubi Sholahuddin Al , Masruri Muhammad
Published: July 2024

This study aims to explore mystical ritual learning methods to obtain mystical ijazah in Pesantren Salafiyah (Islamic Boarding Schools). The certificate of mysticism is a gift from the Kiai to the students. The Pesantren Salafiyah, known for its traditional approach to Islamic education, offers this unique learning experience to its students. This study examines the ritualistic aspects of obtaining a mystical diploma in the Salafi Islamic Boarding School. This study investigates the methods, practices, and teachings used by the Kiai and ustad to facilitate the spiritual growth and development of the students. Through qualitative research methods such as participant observation, interviews, and document analysis, this research explores traditions, ceremonies, and rituals integral to the learning process. The results revealed the importance of habits in enhancing the spiritual experience of students and building a solid connection with mystical teachings. Rituals include various elements, including reading sacred texts, meditation, physical exercise, and symbolic movements. In addition, the research findings explore the implications of ritual learning methods for mystical diplomas in Salafi Islamic Boarding Schools. It highlights a unique pedagogical approach by combining traditional Islamic education with esoteric teachings, encouraging a holistic understanding of spirituality. The study also discusses the challenges and opportunities contemporary Islamic educational institutions face in preserving and adapting ritual learning methods in a modern context
Field trial of Provus-Alkin-amalgamation evaluation application based on Weighted-Product-Rwa-Bhineda mods
Authors: Suyasa P. Wayan Arta , Divayana Dewa Gede Hendra , Ariawan I Putu Wisna , Andayani Made Susi Lissia , Wiradika I Nyoman Indhi , Adiarta Agus
Published: July 2024

The purpose of this study was to demonstrate the effectiveness level of the Provus-Alkin-amalgamation evaluation application based on Weighted-Product-Rwa-Bhineda modification through the results of field trials. This evaluation application was an evaluation tool formed by a combination of educational evaluation models (Provus model and Alkin model), decision support system methods (weighted product), and the concept of Balinese local wisdom (Rwa Bhineda). This research approach was developed, using the Borg and Gall model. The focus of the development phase in this study was field trials and revisions to field trials. The tool used to provide scores by respondents in field trials was a questionnaire. Subjects involved in field trials were 164 respondents. The research location was at several IT vocational schools in Bali. Data analysis was done by comparing the results of field trials with effectiveness standards referring to a five scale. The results showed that the percentage of effectiveness was 81.20%. It proved that the Provus-Alkin-amalgamation evaluation application based on Weighted-Product-Rwa-Bhineda modification was good. The impact of the results of this research is as a trigger to develop innovations in educational evaluation by integrating various fields of science (multidisciplinary science) in the form of one digital application.
The relevance of Vygotsky's constructivism learning theory with the differentiated learning primary schools
Authors: Wibowo Sigit , Wangid Muhammad Nur , Firdaus Fery Muhamad
Published: July 2024

The purpose of this study is to analyze in depth the relevance of Vygotsky's constructivism learning theory in differentiated learning in elementary schools. Differentiated learning is an effort to adapt the learning process in the classroom to meet the learning needs of each individual. This adjustment is made by considering the interests, learning profiles, and readiness of students to improve learning outcomes. With this adjustment, students can learn according to their respective abilities and find understanding from their own experiences. On the other hand, constructivist learning theory states that learning is a process in which students can build their knowledge. One of the constructivists learning theories was proposed by Vygotsky, known as social constructivism. Vygotsky's constructivism emphasizes the interaction of interpersonal (social), cultural-historical, and individual factors as the key to human development. The constructivist theory has relevance to differentiated learning in terms of meaningful learning and student activity. Differentiated learning applies constructivist theory in learning by considering the individual characteristics of students. In addition, the concept of the zone of proximal development (ZPD) and scaffolding are highly relevant in differentiated learning that accommodates the full potential of students and considers the individual abilities of students.
The correlation between total quality management with teacher performance in special education
Authors: Mufidah Aulia Maya , Yusuf Munawir , Widyastono Herry
Published: July 2024

Total quality management (TQM) in education is a management theory that directs service providers to carry out quality improvement programs on an ongoing basis that focuses on achieving customer satisfaction in improving the quality of learning. This aim study analyzed the relationship between total quality management and teacher performance in special education. This research used correlational research with a quantitative methodology. Data analysis techniques in this study were instrument tests (validity and reliability). The sample consisted of 132 respondents, including school principals and teachers. Data collection used questionnaires. The quantitative descriptive analysis technique was then applied to the data. The product-moment correlation was used in the hypothesis testing. The findings demonstrated a strong and favorable correlation between teacher effectiveness and overall quality management.