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immunoglobulin G

✓ Approved

Quimbiotec · Polyclonal Antibodies · Polyclonal Antibodies

What is immunoglobulin G?

immunoglobulin G is a polyclonal antibodies developed by Quimbiotec. It is approved for therapeutic indications via injectable (others) or intravenous (iv).

Drug Profile

CompanyQuimbiotec
Drug ClassPolyclonal Antibodies, Antibody
RouteInjectable (Others), Intravenous (IV)
StatusApproved
Sources: ClinicalTrials.gov, Quimbiotec

Therapeutic Indications

immunoglobulin G is developed for 4 unique indications across 4 therapeutic areas.

Therapeutic AreaConditionPhase
Nervous system disordersGuillain-Barre syndrome✓ Approved
Skin and subcutaneous tissue disordersPurpura✓ Approved
Immune system disordersImmunodeficiency✓ Approved
Infections and infestationsBorna virus infection✓ Approved

Related Research Articles

PubMedCureus2026-09-20

Guillain-Barré Syndrome Revealing Coexisting Cervical Spondylotic Myelopathy: A Diagnostic Pitfall.

Boubekri Hatim H, Salah Anass A, Mankar Bennis Najoua N, Khalfaoui Saloua S et al.

Guillain-Barré syndrome (GBS) is an acute inflammatory polyradiculoneuropathy characterized by rapidly progressive weakness and areflexia. Although the diagnosis is usually straightforward, atypical clinical evolution should prompt investigation for concomitant central nervous system pathology. We report the case of a 64-year-old man initially diagnosed with severe GBS based on clinical presentation, cerebrospinal fluid (CSF) analysis, and electroneuromyography (EMNG) findings. Despite partial neurological improvement after intravenous immunoglobulin therapy, the patient later developed cervical pain, brisk reflexes, and a positive Babinski sign. Cervical magnetic resonance imaging (MRI) revealed severe multilevel cervical spondylotic myelopathy (CSM) with spinal cord compression and intramedullary T2 hyperintensity. Surgical decompression was subsequently indicated. This case highlights the importance of reassessing patients with GBS who develop pyramidal signs or atypical neurological findings, as concomitant cervical myelopathy may be overlooked and delay appropriate management.

PMID 42763772
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PubMedEuropean radiology2026-09-20

Classification of histology and molecular subtypes of brain gliomas and glioneuronal and neuronal tumors using a deep learning approach.

Wu Minghao M, Sun Yuchen Y, Bao Dan D, Li Junjie J et al.

To develop a deep learning classification system for integrated histology and molecular subtyping of gliomas and glioneuronal/neuronal tumors (GNTs). Preoperative multi-parametric MRI data from 1,844 patients with gliomas or GNTs, encompassing T1WI, post-contrast T1WI (T1(+C)), T2Flair, T2WI, and DWI, were analyzed. Subjects were classified into six categories: (1) oligodendroglioma, IDH-mutant, and 1p/19q-codeleted; (2) astrocytoma, IDH-mutant; (3) glioblastoma, IDH-wildtype; (4) pilocytic astrocytoma (PA); (5) pleomorphic xanthoastrocytoma (PXA); and (6) GNTs. A three-level classification system (MRI-G/GNTs) using MobileNetV2 was trained and validated in internal and external datasets. Sequential forward feature selection (SFFS) was utilized to optimize multi-modal network combinations. Furthermore, the MRI-G/GNTs outputs were integrated into structured virtual pathology reports. The average Dice for the brain tumor segmentation model was 0.92. Using SFFS, we identified optimal MRI sequence combinations per classification step. The external tests AUCs reached 0.92 for distinguishing adult-type diffuse gliomas from circumscribed astrocytic gliomas/GNTs (T1(+C), Flair, and T2WI combination), 0.92 for distinguishing IDH status for adult-type diffuse glioma (T1(+C)/Flair/ADC), 0.83 for distinguishing 1p/19q status for IDH-mutant diffuse glioma (ADC/Flair), 0.84 for circumscribed astrocytic gliomas vs GNTs (ADC/T1(+C)), 0.95 for PA vs PXA (ADC/T1(+C)/T2WI). Based on the automated prediction pipeline, the integrated classification performance of the MRI-G/GNTs system achieved AUCs of 0.92, 0.81, 0.87, 0.82, 0.94, and 0.69, with accuracy of 0.88, 0.88, 0.89, 0.81, 0.91, and 0.95 across the above six tumor categories. The MRI-G/GNTs system demonstrates strong capability in distinguishing both histological and molecular subtypes of brain gliomas and GNTs. Question How about the deep learning model based on MRI for integrated histology and molecular classification of brain GNTs, and can it be improved? Findings The MRI-G/GNTs system achieved AUCs of 0.69-0.92 with accuracy of 0.81-0.95 for distinguishing six tumor categories of GNTs. Clinical relevance The three-level deep learning classification system (MRI-G/GNTs) based on optimized multimodal MRI integration firstly achieves comprehensive histology and molecular subtype classification of brain GNTs.

PMID 42763331
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PubMedCureus2026-09-20

GLT6D1 rs1537415 G Allele and Advanced Periodontitis: A Meta-Analysis.

Karaoulas Theofanis A TA, Xirouchakis Christoforos C, Neophytou Chariklia C, Fragkioudakis Ioannis I

This meta-analysis aimed to evaluate the association of the GLT6D1 rs1537415 G allele with susceptibility to periodontitis stage III/IV, grade B or C. Adhering to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, three eligible studies were identified through comprehensive searches of PubMed, Web of Science, and Scopus. Data from 2,185 participants (668 cases and 1,517 controls) were analyzed using random-effects models to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Heterogeneity was assessed using Chi² and I² statistics. Formal testing for publication bias was precluded by the small number of studies (n = 3). The meta-analysis demonstrated a significant association between the rs1537415 G allele and severe periodontitis, with a pooled OR of 1.58 (95% CI: 1.28-1.95). Subgroup analyses showed consistent associations in European and Sudanese populations, whereas no significant association was observed in the Brazilian cohort. Sensitivity analysis excluding the largest Genome-Wide Association Study (GWAS) attenuated the association to a non-significant level (OR = 1.37; 95% CI: 0.87 to 2.16), indicating that a single study largely drove the overall effect; the pooled estimate should therefore be interpreted with caution. The GLT6D1 rs1537415 G allele may represent a genetic risk factor for severe periodontal diseases, particularly stage III/IV and grade B/C, suggesting a possible role in immune modulation. Further research involving larger, multi-ethnic cohorts is crucial to validate these associations and explore gene-environment interactions.

PMID 42763709
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PubMedJournal of sports sciences2026-09-20

Effects of an 8-week long-step start training programme intervention on relay performance in collegiate male swimmers: A single-arm study.

Shimojo Hirofumi H, Hoshikawa Shingo S, Yamashiro Shoichiro S, Nara Rio R et al.

We investigated the effects of an 8-week long-step (LS) relay start training programme on start kinematics, changeover time (COT), time to 5 m, lower-limb isokinetic strength, and perceived fear in 10 collegiate male swimmers. Following the training, COT significantly decreased from 0.31 ± 0.21 s to 0.05 ± 0.16 s (p = .034, g = -1.63). Time to 5 m also significantly improved from 1.17 ± 0.23 s to 0.94 ± 0.13 s (p = .031, g = -1.66). Vertical centre of mass displacement during the block phase decreased significantly from 0.34 ± 0.04 m to -0.03 ± 0.04 m (p < .001, g = -6.78). Specific isokinetic strength (front leg extension [1.16 to 1.58 Nm∙kg-1] and back leg flexion [0.55 to 1.05 Nm∙kg-1] at 300°∙s-1) increased significantly, and improvements correlated with back leg flexion strength. In conclusion, the training enabled swimmers to acquire the LS technique, resulting in elite-level COTs and faster 5 m times with a gliding technique through biomechanical and neuromuscular adaptations.     .

PMID 42763417
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PubMedThe Journal of psychology2026-09-20

Systematic Review and Meta-Analysis of Self-Determination Theory-Based Interventions in Mental Health.

P S Sarika S, Samantaray Narendra Nath NN, B Chethan C, Kumar Ajay A

Self-Determination Theory (SDT) proposes that satisfaction of the basic psychological needs for autonomy, competence, and relatedness promotes psychological growth and mental health. However, previous evidence syntheses have largely examined psychopathology or well-being separately. The present systematic review and meta-analysis evaluated the effects of SDT-based interventions on mental health while separately examining mental illness outcomes and positive mental health (psychological functioning) within Keyes' dual-continua framework. A systematic review and meta-analysis of 43 experimental and quasi-experimental studies was conducted. Random-effects meta-analyses estimated pooled intervention effects using study-level composite effect sizes for mental illness and positive mental health outcomes, while narrative synthesis summarized need-supportive intervention techniques. Moderator analyses examined participant, methodological, and intervention characteristics. SDT-based interventions demonstrated a large overall effect on mental health (g = 2.51). Separate analyses based on Keyes' dual-continua model indicated large effects for both mental illness reduction (g = 2.55) and positive mental health (psychological functioning; g = 2.48). Moderator analyses did not identify statistically significant differences according to participant, methodological, or intervention characteristics. Substantial between-study heterogeneity remained, warranting cautious interpretation of the pooled estimates. SDT-based interventions may promote holistic mental health by reducing mental illness outcomes while enhancing positive mental health (psychological functioning). Integrating these outcomes within Keyes' dual-continua model extends previous SDT evidence syntheses and highlights the potential of SDT as a theoretically grounded framework for promoting both recovery from psychological distress and positive psychological functioning.

PMID 42763427
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PubMedFood chemistry: X2026-09-20

Structural optimization and freeze-thaw stabilization of carnauba wax and beta-sitosterol bigels via peanut protein and sodium alginate complexation.

Hu Chun C, Li Chunyu C, Zhang Weinong W, He Junbo J et al.

This study investigated the influence of peanut protein/sodium alginate (PP/SA) complex and oleogel-to-hydrogel ratio on the structure, mechanical properties and stability of carnauba wax/β-sitosterol-based bigels. The results indicated adding SA increased PP mean particle size from 88.1 to 395.2 and 729.6 nm, and absolute zeta-potential from 38.5 to 53.0 and 60.5 mV, and improved its surface hydrophobicity. Additionally, at 40% and 50% oleogel, SA addition was shown to improve the performance of PP bigels in water holding capacity, elastic modulus (G'), viscous modulus (G″), textural properties (hardness, springiness, chewiness and gumminess), as well as physical and freeze-thaw stability. Notably, the bigels with 50% oleogel exhibited the most compact structure and optimal functional properties. However, at 60% oleogel, the PP bigels declined in texture parameters, rheological properties and stability, making the positive effects of SA negligible. These findings provide a theoretical foundation for utilizing PP/SA bigels as potential spreadable sauce substitutes.

PMID 42763530
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