supFig_1 – Supplemental material for Intradermal Acupuncture Along with Analgesics for Pain Control in Advanced Cancer Cases: A Pilot, Randomized, Patient-Assessor-Blinded, Controlled Trial

<p>Supplemental material, supFig_1 for Intradermal Acupuncture Along with Analgesics for Pain Control in Advanced Cancer Cases: A Pilot, Randomized, Patient-Assessor-Blinded, Controlled Trial by Kyungsuk Kim and Sanghun Lee in Integrative Cancer Therapies</p

Comparative Study of Tavorite and Triplite LiFeSO₄F as Cathode Materials for Lithium Ion Batteries: Structure, Defect Chemistry, and Lithium Conduction Properties from Atomistic Simulation

To explore the possibility of LiFeSO₄F with two polymorphs (tavorite and triplite) as the cathode material for lithium ion batteries, structure, defect chemistry, and Li⁺ ion conduction properties are studied by atomistic simulation with empirical potential parameters. We investigate the correct structure of tavorite LiFeSO₄F, which was newly determined. The concentration of intrinsic defects in the tavorite form is very low in comparison with the triplite form. Configurations of FeO₄F₂ octahedra in the triplite form are in favor of corner-sharing connections over edge-sharing ones. Even though calculated migration energies prove that both isomorphs are Li⁺ ion conductors, the Li⁺ ions in the triplite LiFeSO₄F move in the restricted migration paths (one- or two-dimensional), whereas the tavorite isomorph has a continuous three-dimensional Li⁺ ion conducting network

The flowchart for the study design.

The flowchart for the study design.</p

Structure, Defect Chemistry, and Lithium Transport Pathway of Lithium Transition Metal Pyrophosphates (Li₂MP₂O₇, M: Mn, Fe, and Co): Atomistic Simulation Study

Lithium transition metal pyrophosphate materials (Li₂MP₂O₇, M: Mn, Fe, and Co) have been proposed as promising novel cathode materials for lithium ion batteries. Using atomistic simulation with empirical potential parameters, which has been validated on various cathode materials by Islam et al. [<i>Phil. Trans. R. Soc. A</i> <b>2010</b>, <i>368</i>, 3255–3267], these new pyrophosphates are investigated to elucidate structure, defect chemistry, and Li⁺ ion transport pathway. The core–shell model with empirical force fields reproduces the experimental unit-cell parameters, and formation energies of intrinsic defects (Frenkel and antisite) are calculated. From migration energy calculation, it is found that the pyrophosphates without partial occupation have a 2D Li⁺ ion pathway. Meanwhile, under the condition of partial occupancies of Li and transition metal atoms, the diffusion pathway of Li⁺ ions is a 3D network

IMR898615 Supplemental Figure - Supplemental material for Association of low urine pH as a metabolic feature with abdominal obesity

Supplemental material, IMR898615 Supplemental Figure for Association of low urine pH as a metabolic feature with abdominal obesity by Juyoung Lee, Hee Kyung Chang and Sanghun Lee in Journal of International Medical Research</p

Hazard ratios for prostatectomy according to T2DM, metformin, and baseline characteristics.

Hazard ratios for prostatectomy according to T2DM, metformin, and baseline characteristics.</p

Hazard ratios for prostatectomy according to T2DM and total daily dose of metformin.

Hazard ratios for prostatectomy according to T2DM and total daily dose of metformin.</p

Baseline characteristics according to T2DM and metformin medication comorbidity.

Baseline characteristics according to T2DM and metformin medication comorbidity.</p

DataSheet1_Mendelian randomization shows depression increases the risk of type 2 diabetes.docx

Introduction: Type 2 diabetes (T2D) is associated with severe mental illnesses (SMIs), such as schizophrenia, bipolar disorder, and depression. However, causal relationships between SMIs and T2D remain unclear owing to potential bias in observational studies. We aimed to characterize the causal effect of SMI liability on T2D using two-sample Mendelian randomization (MR).Methods: The causality between liability to SMI and T2D was investigated using the inverse-variance weighted (IVW), MREgger, MR-Egger with a simulation extrapolation, weighted median, and the MR pleiotropy residual sum and outlier method. Similarly, we performed additional MR which can detect the reverse causation effect by switching exposure and outcome for T2D liability for SMI. To further consider pleiotropic effects between SMIs, multivariable MR analysis was performed after accounting for the other traits.Results: In the univariable IVW method, depression showed a causal effect on T2D (odds ratio [OR]: 1.128, 95% confidence interval [CI]: 1.024–1.245, p = 0.014). Multinomial MR more strongly supported these results (IVW OR: 1.197, 95% CI: 1.069, 1.340, p = 0.002; MR-Egger OR: 1.198, 95% CI: 1.062, 1.349, p = 0.003). Bidirectional MR showed absence of reversecausality between depression and T2D. However, causal relationship of bipolar and schizophrenia on T2D was not detected.Discussion: Careful attention is needed for patients with depression regarding T2D prevention and treatment.</p

DataSheet2_Mendelian randomization shows depression increases the risk of type 2 diabetes.docx

Introduction: Type 2 diabetes (T2D) is associated with severe mental illnesses (SMIs), such as schizophrenia, bipolar disorder, and depression. However, causal relationships between SMIs and T2D remain unclear owing to potential bias in observational studies. We aimed to characterize the causal effect of SMI liability on T2D using two-sample Mendelian randomization (MR).Methods: The causality between liability to SMI and T2D was investigated using the inverse-variance weighted (IVW), MREgger, MR-Egger with a simulation extrapolation, weighted median, and the MR pleiotropy residual sum and outlier method. Similarly, we performed additional MR which can detect the reverse causation effect by switching exposure and outcome for T2D liability for SMI. To further consider pleiotropic effects between SMIs, multivariable MR analysis was performed after accounting for the other traits.Results: In the univariable IVW method, depression showed a causal effect on T2D (odds ratio [OR]: 1.128, 95% confidence interval [CI]: 1.024–1.245, p = 0.014). Multinomial MR more strongly supported these results (IVW OR: 1.197, 95% CI: 1.069, 1.340, p = 0.002; MR-Egger OR: 1.198, 95% CI: 1.062, 1.349, p = 0.003). Bidirectional MR showed absence of reversecausality between depression and T2D. However, causal relationship of bipolar and schizophrenia on T2D was not detected.Discussion: Careful attention is needed for patients with depression regarding T2D prevention and treatment.</p