İnsan ve Toplum Bilimleri Fakültesi / Faculty of Humanities and Social Sciencesİnsan ve Toplum Bilimleri Fakültesi'ndeki bölümlerine ait yayınları içerir.https://hdl.handle.net/11352/252024-03-29T12:43:11Z2024-03-29T12:43:11ZEffectiveness of An Online Dialectical Behavior Therapy Skills Training in Adults with Attention-deficit/hyperactivity Disorder: A Randomized Controlled TrialUlusoy, VahideBilican, IşılGörmez, Aynurhttps://hdl.handle.net/11352/47242024-03-01T07:57:14Z2024-01-01T00:00:00ZEffectiveness of An Online Dialectical Behavior Therapy Skills Training in Adults with Attention-deficit/hyperactivity Disorder: A Randomized Controlled Trial
Ulusoy, Vahide; Bilican, Işıl; Görmez, Aynur
Objective The current study aims to examine the efficacy of an add-on dialectical behavior therapy skills training (DBT-ST)
on adult attention-deficit/hyperactivity disorder (ADHD). The DBT-ST was applied online under the pandemic conditions
that occurred after the study had started.
Methods The current randomized controlled trial consists of an intervention group to whom the DBT-ST was applied in
online setting and a waitlist control group who received treatment as usual (TAU). Data were collected pre-, post-, and
mid-treatment. ADHD symptoms (with the sub-dimensions of inattention and hyperactivity), impulsivity, mindfulness,
difficulty with emotion regulation, interpersonal effectiveness, distress tolerance, life satisfaction, functionality in daily
life, and general psychological symptom levels were measured with self-report scales. The data were analyzed using
mixed-design ANOVA.
Results The global ADHD, inattention, and hyperactivity symptoms of the DBT-ST group significantly decreased more
than those in the TAU control group. The DBT-ST group also showed a significant decrease regarding difficulty with
emotion regulation and increases in life satisfaction and functionality, though the group × time effect was not significant.
Conclusion DBT-ST was found effective against the participants’ ADHDsymptoms. The treatment was additionally found to
improve their emotion regulation and quality of life. Further investigation is needed to investigate DBT-ST in an online setting.
2024-01-01T00:00:00ZParkinson Hastalığı Demansı ile Bağırsak Mikrobiyotasındaki Akkermansia Genomik Çeşitliliği Arasındaki İlişkinin İncelenmesiArıkan, MuzafferDemir, Tuğçe KahramanYıldız, ZeynepYılmaz, Nesrin HelvacıŞen, AysuHanoğlu, LütfüYıldırım, Süleymanhttps://hdl.handle.net/11352/47202024-02-12T08:56:24Z2024-01-01T00:00:00ZParkinson Hastalığı Demansı ile Bağırsak Mikrobiyotasındaki Akkermansia Genomik Çeşitliliği Arasındaki İlişkinin İncelenmesi
Arıkan, Muzaffer; Demir, Tuğçe Kahraman; Yıldız, Zeynep; Yılmaz, Nesrin Helvacı; Şen, Aysu; Hanoğlu, Lütfü; Yıldırım, Süleyman
Parkinson hastalığında (PH), genellikle sağlıkla ilişkilendirilen bir bakteri cinsi olan Akkermansia’nın
bağırsak mikrobiyotasında artış gösterdiği bilinse de bu artışın nedeni tam olarak anlaşılamamıştır. Bu
çalışmada Türkiye’deki PH hastalarında, bağırsak mikrobiyotasındaki muhtemel Akkermansia değişimlerinin
belirlenmesi amaçlanmıştır. Bu amaçla, ilk kez shotgun metagenomik ve Akkermansia cinsine özgül
bir yeni nesil dizileme (NGS) tekniği kullanılarak PH’de bilişsel bozukluk evreleriyle ilişkili olabilecek belirli
Akkermansia suşlarının varlığı ve bu suşlarda bulunan potansiyel genler incelenmiştir. Bu kapsamda
Türkiye’de toplanmış dört bağırsak mikrobiyotası örneği -üç demanslı PH (PHD) ve bir bilişsel bozukluğu
olmayan sağlıklı kontrol (SK)- shotgun metagenomik dizileme yoluyla analiz edilmiş ve örneklerdeki Akkermansia cinsine ait genomlar yeniden inşa edilmiştir. Bu genomlar, veri tabanlarındaki Akkermansia
cinsine ait genomlarla bir araya getirilerek özel bir veri tabanı oluşturulmuş ve Akkermansia cinsine özgül
NGS uyumlu primerler bu veri tabanı kullanılarak tasarlanmıştır. Hedef gen bölgesinin çoğaltılması ve cins
özgül yeni nesil dizileme için kütüphane hazırlama basamaklarının optimize edilmesinden sonra, 64 PH
hastası [32 PHD ve 32 hafif bilişsel bozukluk gösteren PH (PH-MCI)] ile 26 SK’ye ait bağırsak mikrobiyotası
örnekleri cins özgül amplikon dizileme ile analiz edilmiştir. Analizler sonucunda, bağırsak mikrobiyotası
örneklerinde Akkermansia muciniphila türüne ait oldukları belirlenen yedi suşun varlığı tespit edilmiş ve iki
suşun demanslı (PHD) ve demansı olmayan (PH-MCI, HC) gruplar arasındaki dağılımının anlamlı farklılık
gösterdiği (p< 0.05) belirlenmiştir. Tespit edilen suşlara ait genomların gen içerikleri, karşılaştırmalı genomik
analizler yoluyla incelediğinde yalnızca dağılımı demanslı ve demansı olmayan gruplar arasında
anlamlı farklılık gösteren iki suşta bulunan 12 genin varlığı tahmin edilmiştir. Bu genlerin annotasyonları
yapıldığında ise daha önce rapor edilmemiş ve işlevi bilinmeyen genler oldukları görülmüştür. Bu
çalışmada, ilk kez Türkiye’de toplanmış PH hastalarına ait bağırsak mikrobiyotası örneklerinin shotgun
metagenomik analizleri gerçekleştirilmiş, özel olarak Akkermansia cinsinin analizi için cins-özgül bir amplikon
dizileme yöntemi geliştirilmiş ve bu yöntem kullanılarak PH’de bilişsel bozukluk evreleriyle ile ilişkili
olabilecek Akkermansia suşları ve genleri tespit edilmiştir. Elde edilen sonuçlar, tür ya da suş düzeyindeki
farklılıkların araştırılmasının, bağırsak mikrobiyotasındaki PH ile ilişkili değişimlerin daha iyi anlaşılmasına
yardımcı olabileceğine işaret etmektedir.; Although it is known that the relative abundance of Akkermansia, a bacterial genus commonly associated
with health, increases in the gut microbiota of Parkinson’s disease (PD) patients, the exact reason
for this increase remains unclear. This study was aimed to identify potential changes in Akkermansia
within the gut microbiota of PD patients in Türkiye. For this purpose, shotgun metagenomics and a
novel Akkermansia genus-specific amplicon sequencing technique was used to investigate the presence
of specific Akkermansia strains associated with cognitive impairment (CI) stages in PD and to examine
potential genes within these strains. In this context, four gut microbiota samples from Türkiye -three PD
with dementia (PDD) and one healthy control without CI (HC)- were analyzed by shotgun metagenomics
and metagenome-assembled genomes assigned to Akkermansia genus were reconstructed. Then, a
custom database was created by combining these genomes with the Akkermansia genomes in public
databases and next generation sequencing (NGS) compatible primers specific to the genus Akkermansia
were designed using this database. After optimization of amplification and library preparation steps for
genus-specific next generation sequencing, gut microbiota samples from 64 PD patients [32 PDD and
32 PD with mild CI (PD-MCI)] and 26 HCs were analyzed by genus-specific amplicon sequencing. The
results revealed the presence of seven strains assigned to Akkermansia muciniphila in gut microbiota
samples, two of which showed significant distribution differences (p< 0.05) between demented (PDD)
and non-demented groups (PD-MCI, HC). When gene contents of the detected Akkermansia genomes
were examined through comparative genomic analysis, the presence of 12 genes only in Akkermansia
genomes specific to non-demented groups were predicted. The annotations of these genes showed that
they were not reported before with unknown functions. In this study, for the first time, gut microbiota
samples from PD patients in Türkiye were analyzed using shotgun metagenomics, a novel genus-specific
amplicon sequencing method was developed specifically for the analysis of Akkermansia genus, and
then Akkermansia strains and genes potentially associated with CI stages in PD were identified using this
method. The results underscore that investigating the species or strain level differences could help better
understanding of the changes associated with PD in the human gut microbiota.
2024-01-01T00:00:00ZFunctional Neural Networks Stratify Parkinson’s Disease Patients Across the Spectrum of Cognitive ImpairmentHajebrahimi, FarzinBudak, MiraySaricaoglu, MevhibeTemel, ZeynepDemir, Tugce KahramanHanoglu, LutfuYildirim, SuleymanBayraktaroglu, Zubeyirhttps://hdl.handle.net/11352/47172024-02-02T14:08:46Z2024-01-01T00:00:00ZFunctional Neural Networks Stratify Parkinson’s Disease Patients Across the Spectrum of Cognitive Impairment
Hajebrahimi, Farzin; Budak, Miray; Saricaoglu, Mevhibe; Temel, Zeynep; Demir, Tugce Kahraman; Hanoglu, Lutfu; Yildirim, Suleyman; Bayraktaroglu, Zubeyir
Introduction: Cognitive impairment (CI) is a significant non-motor symptoms inParkinson’s
disease (PD) that often precedes the emergence of motor symptoms by several
years. Patients with PD hypothetically progress from stages without CI (PD-normal
cognition [NC]) to stageswithMild CI (PD-MCI) and PDdementia (PDD). CI symptoms
in PD are linked to different brain regions and neural pathways, in addition to being the
result of dysfunctional subcortical regions. However, it is still unknown how functional
dysregulation correlates to progression during the CI. Neuroimaging techniques hold
promise in discriminating CI stages of PD and further contribute to the biomarker formation
of CI in PD. In this study, we explore disparities in the clinical assessments and
resting-state functional connectivity (FC) among three CI stages of PD.
Methods: We enrolled 88 patients with PD and 26 healthy controls (HC) for a
cross sectional clinical study and performed intra- and inter-network FC analysis in
conjunction with comprehensive clinical cognitive assessment.
Results: Our findings underscore the significance of several neural networks, namely,
the default mode network (DMN), frontoparietal network (FPN), dorsal attention network,
and visual network (VN) and their inter–intra-network FC in differentiating
between PD-MCI and PDD. Additionally, our results showed the importance of sensory
motor network, VN,DMN, and salience network (SN) in the discriminating PD-NC
from PDD. Finally, in comparison to HC, we found DMN, FPN, VN, and SN as pivotal
networks for further differential diagnosis of CI stages of PD.
Conclusion:We propose that resting-state networks (RSN) can be a discriminating factor
in distinguishing the CI stages of PD and progressing from PD-NC toMCI or PDD.
The integration of clinical and neuroimaging data may enhance the early detection
of PD in clinical settings and potentially prevent the disease from advancing to more
severe stages.
2024-01-01T00:00:00ZMetaproteogenomic Analysis of Saliva Samples From Parkinson’s Disease Patients With Cognitive ImpairmentArıkan, MuzafferDemir, Tuğçe KahramanYıldız, ZeynepNalbantoğlu, Özkan UfukKorkmaz, Nur DamlaYılmaz, Nesrin H.Şen, AysuÖzcan, MutluMuth, ThiloHanoğlu, LütfüYıldırım, Süleymanhttps://hdl.handle.net/11352/46892023-12-15T10:53:37Z2023-01-01T00:00:00ZMetaproteogenomic Analysis of Saliva Samples From Parkinson’s Disease Patients With Cognitive Impairment
Arıkan, Muzaffer; Demir, Tuğçe Kahraman; Yıldız, Zeynep; Nalbantoğlu, Özkan Ufuk; Korkmaz, Nur Damla; Yılmaz, Nesrin H.; Şen, Aysu; Özcan, Mutlu; Muth, Thilo; Hanoğlu, Lütfü; Yıldırım, Süleyman
Cognitive impairment (CI) is very common in patients with Parkinson’s Disease (PD) and progressively develops on a spectrum from
mild cognitive impairment (PD-MCI) to full dementia (PDD). Identification of PD patients at risk of developing cognitive decline,
therefore, is unmet need in the clinic to manage the disease. Previous studies reported that oral microbiota of PD patients was
altered even at early stages and poor oral hygiene is associated with dementia. However, data from single modalities are often
unable to explain complex chronic diseases in the brain and cannot reliably predict the risk of disease progression. Here, we
performed integrative metaproteogenomic characterization of salivary microbiota and tested the hypothesis that biological
molecules of saliva and saliva microbiota dynamically shift in association with the progression of cognitive decline and harbor
discriminatory key signatures across the spectrum of CI in PD. We recruited a cohort of 115 participants in a multi-center study and
employed multi-omics factor analysis (MOFA) to integrate amplicon sequencing and metaproteomic analysis to identify signature
taxa and proteins in saliva. Our baseline analyses revealed contrasting interplay between the genus Neisseria and Lactobacillus and
Ligilactobacillus genera across the spectrum of CI. The group specific signature profiles enabled us to identify bacterial genera and
protein groups associated with CI stages in PD. Our study describes compositional dynamics of saliva across the spectrum of CI in
PD and paves the way for developing non-invasive biomarker strategies to predict the risk of CI progression in PD.
2023-01-01T00:00:00Z