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| Name | Class |
|---|---|
| ETH Zurich | OTHER |
| University Hospital, Bonn | OTHER |
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Depression is a common mental health condition that affects millions of people worldwide and is a leading cause of disability. Although current treatments can be effective, many patients do not fully recover or experience long-term improvement. This study aims to better understand how lifestyle factors such as physical activity and diet-related processes may influence biological mechanisms that could be linked to depression.
The study focuses on a natural cellular process called autophagy, which helps cells remove damaged components and maintain healthy function. Autophagy is influenced by energy availability in the body and may be affected by behaviors such as physical exercise and caloric restriction. Early evidence suggests that changes in autophagy may also be linked to mood regulation and depression, but this relationship is not yet well understood in humans.
In this exploratory study, we will investigate how physical activity influences autophagy and related metabolic and molecular processes in healthy adults. We will also examine whether these effects differ between individuals with different body weight and fitness levels, and between women and men.
A total of approximately 120 healthy adults aged 18 to 40 years will participate. Participants will be divided into four groups based on sex and body weight (normal weight or overweight). Each participant will attend study visits at the University Hospital Zurich and perform a standardized cycling exercise test under medical supervision.
During the exercise test, participants will perform a graded cycling protocol that gradually increases in intensity until exhaustion. We will collect small blood samples from a vein and from a fingertip at several time points before, during, and after exercise. Saliva samples will also be collected to measure stress-related hormones. Additional measurements include heart rate, breathing parameters, oxygen consumption, and physical performance.
Blood and saliva samples will be analyzed using advanced laboratory techniques to study changes in metabolism, immune signaling, hormones, gene activity, and markers related to autophagy. These analyses will help identify biological pathways that are activated by exercise and may be relevant to brain health and depression.
Participants will undergo medical screening before inclusion to ensure safety. Individuals with certain medical conditions or factors that could interfere with the study results will not be included. Participation is voluntary, and participants may withdraw at any time without consequences.
The study involves minimal risks associated with blood sampling and intense physical exercise, which will be performed under close medical supervision. The expected benefit is improved scientific understanding of how lifestyle-related biological processes may be linked to mental health, which could support the development of new preventive or therapeutic strategies for depression in the future.
Background and Rationale Depressive disorders are among the leading causes of disability worldwide and represent a major public health burden. Despite the availability of pharmacological and psychotherapeutic treatments, a substantial proportion of patients do not achieve full remission or experience relapse. Current antidepressant strategies primarily target monoaminergic systems and are often insufficient in addressing the biological heterogeneity of depression.
Emerging evidence suggests that metabolic regulation and cellular stress response pathways may play an important role in the pathophysiology of depression. In particular, associations between metabolic disorders (such as obesity and insulin resistance) and depressive symptoms indicate shared biological mechanisms. This has led to increasing interest in lifestyle-based interventions, including physical activity, dietary modification, and caloric restriction, as potential modulators of both metabolic and neuropsychiatric outcomes.
A central candidate mechanism linking metabolism and brain function is autophagy, a conserved cellular process responsible for the degradation and recycling of damaged proteins and organelles. Autophagy is tightly regulated by nutrient availability and energy status, primarily via the AMPK-mTOR signaling axis. It is activated under energy deprivation and suppressed under nutrient excess. Proper autophagic flux is essential for neuronal homeostasis, immune regulation, and cellular stress adaptation.
Preclinical and emerging clinical evidence suggests that impaired autophagy may be involved in psychiatric disorders, including depression. Furthermore, interventions such as physical exercise, caloric restriction, and certain pharmacological agents have been shown to modulate autophagy-related pathways. However, the direct measurement of autophagic flux in humans under physiological conditions remains methodologically challenging, and its relationship to exercise-induced metabolic and neurobiological changes is not fully understood.
This study aims to address this gap by investigating autophagy-related biological responses to acute physical exercise in humans using a multi-omics approach.
Objectives Primary Objective To investigate whether acute physical exercise induces measurable changes in autophagy-related pathways and associated metabolic, proteomic, transcriptomic, and hormonal markers in humans.
Secondary Objectives To characterize exercise-induced changes in systemic metabolism, inflammatory markers, and stress hormones.
To explore associations between fitness level, body mass index (BMI), and molecular responses to exercise.
To identify potential biomarkers of autophagy activation in peripheral blood and saliva.
To generate mechanistic hypotheses linking metabolic regulation, autophagy, and pathways relevant to mood disorders.
Study Design This is a single-center, exploratory human research study conducted at the University Hospital Zurich in collaboration with exercise physiology facilities.
The study uses a cross-sectional experimental design involving standardized acute exercise stimulation (cardiopulmonary exercise testing, CPET) combined with repeated biological sampling and multi-omics profiling.
Participants will be stratified into four groups based on sex and BMI:
Normal-weight women Normal-weight men Overweight women Overweight men All participants will perform a standardized incremental cycling exercise test under controlled laboratory conditions.
Study Population Approximately 120 healthy adults aged 18-40 years will be included. Participants will be selected based on predefined inclusion and exclusion criteria to ensure medical safety and reduce confounding variables such as chronic disease, medication use, psychiatric disorders, and hormonal influences (e.g., hormonal contraception or pregnancy in women).
Women will be tested during early follicular phase (cycle days 1-5) to minimize hormonal variability.
Study Procedures
Each participant will undergo:
The protocol includes:
15-minute warm-up phase at submaximal intensity Incremental ramp protocol until voluntary exhaustion
Continuous monitoring of:
Oxygen uptake (VOâ‚‚) Carbon dioxide production (VCOâ‚‚) Heart rate and ECG Blood pressure Respiratory exchange ratio
Key physiological thresholds will be determined:
Aerobic threshold Anaerobic threshold Respiratory compensation point 4. Biological Sampling
Repeated biological sampling will be performed at defined time points:
Rest (baseline) End of warm-up (aerobic phase) Peak exercise (maximal exertion) 10 minutes recovery 30 minutes recovery
Samples include:
Venous blood (PBMC isolation and plasma) Capillary blood microsamples (fingertip sampling devices) Saliva (cortisol analysis) Urine (pregnancy test in women) Total blood volume per participant will be approximately 320 mL across all time points.
Laboratory Analyses
Collected samples will be used for multi-layered molecular profiling:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Healthy, normal weight women, regular menstrual cycle, no hormones, all fitness levels | Experimental |
| |
| Healthy normal weight men, recreational fitness level | Experimental |
| |
| Healthy, overweight women, regular menstrual cycle, no hormones, recreational fitness levels | Experimental |
| |
| Healthy, overweight men, regular menstrual cycle, no hormones, recreational fitness levels | Experimental |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Performance test | Procedure | Standardized CPET on a bicycle ergometer. Venous and capillary blood sampling at baseline (rest), end of aerobic warm-up phase (15 min), peak exercise (ramp-protocoll, 8-12 min), 10 minutes post-exercise, and 30 minutes post-exercise. |
| Measure | Description | Time Frame |
|---|---|---|
| Autophagic Flux in Peripheral Blood Mononuclear Cells (PBMCs) | Assessment of autophagic flux in PBMCs using ex vivo lysosomal inhibition and quantification of autophagy-related proteins (e.g., LC3B-II) to evaluate exercise-induced activation of autophagy pathways. | Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise (single study day). |
| Measure | Description | Time Frame |
|---|---|---|
| PBMC Transcriptome | Genome-wide transcriptomic profiling of PBMCs using RNA sequencing to identify exercise-induced changes in gene expression and cellular signaling pathways. | Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise. |
| PBMC Proteome |
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Inclusion Criteria:
Exclusion Criteria:
Eligibility is limited to participants whose gender identity corresponds to their biological sex (cisgender women and cisgender men). This restriction is necessary because the study investigates sex-specific physiological, hormonal, metabolic, and molecular responses to exercise, including analyses influenced by endogenous sex hormones and menstrual cycle characteristics. Restricting enrollment to cisgender participants reduces biological variability and allows for more accurate interpretation of sex-specific outcomes.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital Zurich | Zurich | Canton of Zurich | 8091 | Switzerland |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41174235 | Background | Takhaveev V, Pullen NJL, Singh NK, Lefevre L, Aghajani EA, Huber SM, Schauer S, Gahlon HL, Poetsch AR, Sturla SJ. Click-code-seq reveals strand biases of DNA oxidation and depurination in human genome. Nat Chem Biol. 2026 May;22(5):716-727. doi: 10.1038/s41589-025-02052-6. Epub 2025 Oct 31. | |
| 25386878 | Background |
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De-identified individual participant data (IPD) underlying the results reported in publications may be shared with qualified researchers for scientific research purposes. Shared data may include demographic, physiological, questionnaire, laboratory, and multi-omics datasets collected as part of the study. The study protocol, statistical analysis plan, informed consent form, and data dictionary may also be made available.
Data will be available beginning 12 months after publication of the primary study results and for up to 10 years thereafter. Access will be granted upon reasonable request, following review and approval of a scientifically sound research proposal by the study investigators and sponsoring institution. Any data sharing will be subject to approval by the responsible ethics committee, where required, and compliance with applicable data protection regulations. Data sharing will further require execution of an appropriate data sharing or transfer agreement to ensure partici
12 months after publication until 10 years after publication
Upon reasonable request and approval
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| ID | Term |
|---|---|
| D050177 | Overweight |
| D003863 | Depression |
| ID | Term |
|---|---|
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
| D001835 | Body Weight |
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Untargeted proteomic analysis of PBMCs to characterize exercise-induced changes in protein abundance and biological pathways. |
| Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise. |
| PBMC Phosphoproteome | Untargeted phosphoproteomic profiling of PBMCs to assess exercise-induced changes in intracellular signaling and protein phosphorylation. | Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise. |
| Plasma Proteome | Untargeted plasma proteomics to identify circulating proteins and pathways altered by acute physical exercise. | Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise. |
| Targeted Plasma Metabolomics | Quantification of metabolites involved in energy metabolism, autophagy regulation, oxidative stress, and exercise adaptation using targeted metabolomic approaches. | Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise. |
| Untargeted Metabolomic Profile | Comprehensive metabolomic profiling to identify exercise-induced changes in metabolic pathways associated with autophagy, energy homeostasis, and stress responses. | Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise. |
| Polyamine Concentrations | Quantification of circulating polyamines and related metabolites, including spermidine-associated pathways implicated in autophagy regulation. | Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise. |
| Steroid Hormone Profile | Measurement of circulating steroid hormones, including cortisol, cortisone, DHEA, DHEAS, progesterone, estradiol, testosterone, aldosterone, and related metabolites using mass spectrometry. | Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise. |
| Inflammatory Marker Profile | Quantification of circulating inflammatory cytokines and immune mediators, including IL-1α, IL-4, IL-6, IL-10, IL-13, and TNF-α. | Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise. |
| Genome-wide DNA Oxidation Profile | Genome-wide mapping of oxidative DNA lesions in PBMCs to assess exercise-induced oxidative stress and genomic responses. | Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise. |
| Genome-wide DNA Strand Break Profile | Genome-wide assessment of DNA strand breaks in PBMCs to characterize genomic stress responses induced by acute exercise. | Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise. |
| DNA Methylation Profile | Genome-wide DNA methylation analysis to investigate exercise-induced epigenetic regulation and associations with transcriptional responses. | Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise. |
| Extracellular Vesicle Profile | Characterization of circulating extracellular vesicles and their molecular cargo as potential mediators of exercise-induced intercellular communication. | Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise. |
| Cardiorespiratory Fitness (VOâ‚‚max) | Maximum oxygen uptake measured during cardiopulmonary exercise testing as an indicator of aerobic fitness and exercise capacity. | Measured during the exercise test on the study day. |
| Blood Lactate Concentration | Capillary blood lactate concentrations measured during exercise to assess metabolic responses and anaerobic metabolism. | Baseline (rest), end of aerobic warm-up phase, and peak exercise. |
| Body Composition | Assessment of body fat mass, lean mass, and bone mineral density using dual-energy X-ray absorptiometry (DXA). | Baseline assessment prior to exercise testing. |
| Depressive Symptoms (Beck Depression Inventory-II, BDI-II) | Assessment of depressive symptom severity using the Beck Depression Inventory-II (BDI-II), a validated self-report questionnaire. | Baseline (Visit 1, prior to exercise testin |
| Anxiety Symptoms (State-Trait Anxiety Inventory, STAI) | Assessment of state and trait anxiety using the State-Trait Anxiety Inventory (STAI). | Baseline (Visit 1, prior to exercise testing). |
| Physical Activity Level (International Physical Activity Questionnaire, IPAQ) | Assessment of habitual physical activity and exercise behavior using the International Physical Activity Questionnaire (IPAQ). | Baseline (Visit 1, prior to exercise testing). |
| Positive and Negative Affect (PANAS) | Assessment of positive and negative affective states using the Positive and Negative Affect Schedule (PANAS). | Immediately before exercise testing and 30 minutes after completion of exercise testing. |
| Mood States (Profile of Mood States, POMS) | Assessment of transient mood states, including tension, depression, anger, vigor, fatigue, and confusion, using the Profile of Mood States (POMS). | Immediately before exercise testing and 30 minutes after completion of exercise testing. |
| Subjective Well-Being (Befindlichkeitsskalen, BF) | Assessment of current subjective well-being and psychological state using the Befindlichkeitsskalen (BF). | Immediately before exercise testing and 30 minutes after completion of exercise testing. |
| Current Psychological State (Eigenzustandsskala, EZ) | Assessment of participants' current psychological state using the Eigenzustandsskala (EZ). | Immediately before exercise testing and 30 minutes after completion of exercise testing. |
| Premenstrual Symptoms (PMS Questionnaire) | Assessment of menstrual cycle-related symptoms in female participants using a standardized Premenstrual Syndrome (PMS) questionnaire. | Baseline (Visit 1, female participants only). |
| Capillary Blood Microsampling | Evaluation of two certified capillary blood microsampling systems (Mitra® device and Whatman® 903 Protein Saver cards) for the collection of capillary blood samples. Comparisons will assess sample quality, analytical performance, feasibility, and concordance of omics-based measurements obtained from microsamples across repeated exercise-associated sampling time points. | Baseline (rest), end of aerobic warm-up phase, peak exercise, 10 minutes post-exercise, and 30 minutes post-exercise. |
| Gassen NC, Hartmann J, Zschocke J, Stepan J, Hafner K, Zellner A, Kirmeier T, Kollmannsberger L, Wagner KV, Dedic N, Balsevich G, Deussing JM, Kloiber S, Lucae S, Holsboer F, Eder M, Uhr M, Ising M, Schmidt MV, Rein T. Association of FKBP51 with priming of autophagy pathways and mediation of antidepressant treatment response: evidence in cells, mice, and humans. PLoS Med. 2014 Nov 11;11(11):e1001755. doi: 10.1371/journal.pmed.1001755. eCollection 2014 Nov. |
| 32470399 | Background | Contrepois K, Wu S, Moneghetti KJ, Hornburg D, Ahadi S, Tsai MS, Metwally AA, Wei E, Lee-McMullen B, Quijada JV, Chen S, Christle JW, Ellenberger M, Balliu B, Taylor S, Durrant MG, Knowles DA, Choudhry H, Ashland M, Bahmani A, Enslen B, Amsallem M, Kobayashi Y, Avina M, Perelman D, Schussler-Fiorenza Rose SM, Zhou W, Ashley EA, Montgomery SB, Chaib H, Haddad F, Snyder MP. Molecular Choreography of Acute Exercise. Cell. 2020 May 28;181(5):1112-1130.e16. doi: 10.1016/j.cell.2020.04.043. |
| 33634751 | Background | Klionsky DJ, Abdel-Aziz AK, Abdelfatah S, Abdellatif M, Abdoli A, Abel S, Abeliovich H, Abildgaard MH, Abudu YP, Acevedo-Arozena A, Adamopoulos IE, Adeli K, Adolph TE, Adornetto A, Aflaki E, Agam G, Agarwal A, Aggarwal BB, Agnello M, Agostinis P, Agrewala JN, Agrotis A, Aguilar PV, Ahmad ST, Ahmed ZM, Ahumada-Castro U, Aits S, Aizawa S, Akkoc Y, Akoumianaki T, Akpinar HA, Al-Abd AM, Al-Akra L, Al-Gharaibeh A, Alaoui-Jamali MA, Alberti S, Alcocer-Gomez E, Alessandri C, Ali M, Alim Al-Bari MA, Aliwaini S, Alizadeh J, Almacellas E, Almasan A, Alonso A, Alonso GD, Altan-Bonnet N, Altieri DC, Alvarez EMC, Alves S, Alves da Costa C, Alzaharna MM, Amadio M, Amantini C, Amaral C, Ambrosio S, Amer AO, Ammanathan V, An Z, Andersen SU, Andrabi SA, Andrade-Silva M, Andres AM, Angelini S, Ann D, Anozie UC, Ansari MY, Antas P, Antebi A, Anton Z, Anwar T, Apetoh L, Apostolova N, Araki T, Araki Y, Arasaki K, Araujo WL, Araya J, Arden C, Arevalo MA, Arguelles S, Arias E, Arikkath J, Arimoto H, Ariosa AR, Armstrong-James D, Arnaune-Pelloquin L, Aroca A, Arroyo DS, Arsov I, Artero R, Asaro DML, Aschner M, Ashrafizadeh M, Ashur-Fabian O, Atanasov AG, Au AK, Auberger P, Auner HW, Aurelian L, Autelli R, Avagliano L, Avalos Y, Aveic S, Aveleira CA, Avin-Wittenberg T, Aydin Y, Ayton S, Ayyadevara S, Azzopardi M, Baba M, Backer JM, Backues SK, Bae DH, Bae ON, Bae SH, Baehrecke EH, Baek A, Baek SH, Baek SH, Bagetta G, Bagniewska-Zadworna A, Bai H, Bai J, Bai X, Bai Y, Bairagi N, Baksi S, Balbi T, Baldari CT, Balduini W, Ballabio A, Ballester M, Balazadeh S, Balzan R, Bandopadhyay R, Banerjee S, Banerjee S, Banreti A, Bao Y, Baptista MS, Baracca A, Barbati C, Bargiela A, Barila D, Barlow PG, Barmada SJ, Barreiro E, Barreto GE, Bartek J, Bartel B, Bartolome A, Barve GR, Basagoudanavar SH, Bassham DC, Bast RC Jr, Basu A, Batoko H, Batten I, Baulieu EE, Baumgarner BL, Bayry J, Beale R, Beau I, Beaumatin F, Bechara LRG, Beck GR Jr, Beers MF, Begun J, Behrends C, Behrens GMN, Bei R, Bejarano E, Bel S, Behl C, Belaid A, Belgareh-Touze N, Bellarosa C, Belleudi F, Bello Perez M, Bello-Morales R, Beltran JSO, Beltran S, Benbrook DM, Bendorius M, Benitez BA, Benito-Cuesta I, Bensalem J, Berchtold MW, Berezowska S, Bergamaschi D, Bergami M, Bergmann A, Berliocchi L, Berlioz-Torrent C, Bernard A, Berthoux L, Besirli CG, Besteiro S, Betin VM, Beyaert R, Bezbradica JS, Bhaskar K, Bhatia-Kissova I, Bhattacharya R, Bhattacharya S, Bhattacharyya S, Bhuiyan MS, Bhutia SK, Bi L, Bi X, Biden TJ, Bijian K, Billes VA, Binart N, Bincoletto C, Birgisdottir AB, Bjorkoy G, Blanco G, Blas-Garcia A, Blasiak J, Blomgran R, Blomgren K, Blum JS, Boada-Romero E, Boban M, Boesze-Battaglia K, Boeuf P, Boland B, Bomont P, Bonaldo P, Bonam SR, Bonfili L, Bonifacino JS, Boone BA, Bootman MD, Bordi M, Borner C, Bornhauser BC, Borthakur G, Bosch J, Bose S, Botana LM, Botas J, Boulanger CM, Boulton ME, Bourdenx M, Bourgeois B, Bourke NM, Bousquet G, Boya P, Bozhkov PV, Bozi LHM, Bozkurt TO, Brackney DE, Brandts CH, Braun RJ, Braus GH, Bravo-Sagua R, Bravo-San Pedro JM, Brest P, Bringer MA, Briones-Herrera A, Broaddus VC, Brodersen P, Brodsky JL, Brody SL, Bronson PG, Bronstein JM, Brown CN, Brown RE, Brum PC, Brumell JH, Brunetti-Pierri N, Bruno D, Bryson-Richardson RJ, Bucci C, Buchrieser C, Bueno M, Buitrago-Molina LE, Buraschi S, Buch S, Buchan JR, Buckingham EM, Budak H, Budini M, Bultynck G, Burada F, Burgoyne JR, Buron MI, Bustos V, Buttner S, Butturini E, Byrd A, Cabas I, Cabrera-Benitez S, Cadwell K, Cai J, Cai L, Cai Q, Cairo M, Calbet JA, Caldwell GA, Caldwell KA, Call JA, Calvani R, Calvo AC, Calvo-Rubio Barrera M, Camara NO, Camonis JH, Camougrand N, Campanella M, Campbell EM, Campbell-Valois FX, Campello S, Campesi I, Campos JC, Camuzard O, Cancino J, Candido de Almeida D, Canesi L, Caniggia I, Canonico B, Canti C, Cao B, Caraglia M, Carames B, Carchman EH, Cardenal-Munoz E, Cardenas C, Cardenas L, Cardoso SM, Carew JS, Carle GF, Carleton G, Carloni S, Carmona-Gutierrez D, Carneiro LA, Carnevali O, Carosi JM, Carra S, Carrier A, Carrier L, Carroll B, Carter AB, Carvalho AN, Casanova M, Casas C, Casas J, Cassioli C, Castillo EF, Castillo K, Castillo-Lluva S, Castoldi F, Castori M, Castro AF, Castro-Caldas M, Castro-Hernandez J, Castro-Obregon S, Catz SD, Cavadas C, Cavaliere F, Cavallini G, Cavinato M, Cayuela ML, Cebollada Rica P, Cecarini V, Cecconi F, Cechowska-Pasko M, Cenci S, Ceperuelo-Mallafre V, Cerqueira JJ, Cerutti JM, Cervia D, Cetintas VB, Cetrullo S, Chae HJ, Chagin AS, Chai CY, Chakrabarti G, Chakrabarti O, Chakraborty T, Chakraborty T, Chami M, Chamilos G, Chan DW, Chan EYW, Chan ED, Chan HYE, Chan HH, Chan H, Chan MTV, Chan YS, Chandra PK, Chang CP, Chang C, Chang HC, Chang K, Chao J, Chapman T, Charlet-Berguerand N, Chatterjee S, Chaube SK, Chaudhary A, Chauhan S, Chaum E, Checler F, Cheetham ME, Chen CS, Chen GC, Chen JF, Chen LL, Chen L, Chen L, Chen M, Chen MK, Chen N, Chen Q, Chen RH, Chen S, Chen W, Chen W, Chen XM, Chen XW, Chen X, Chen Y, Chen YG, Chen Y, Chen Y, Chen YJ, Chen YQ, Chen ZS, Chen Z, Chen ZH, Chen ZJ, Chen Z, Cheng H, Cheng J, Cheng SY, Cheng W, Cheng X, Cheng XT, Cheng Y, Cheng Z, Chen Z, Cheong H, Cheong JK, Chernyak BV, Cherry S, Cheung CFR, Cheung CHA, Cheung KH, Chevet E, Chi RJ, Chiang AKS, Chiaradonna F, Chiarelli R, Chiariello M, Chica N, Chiocca S, Chiong M, Chiou SH, Chiramel AI, Chiurchiu V, Cho DH, Choe SK, Choi AMK, Choi ME, Choudhury KR, Chow NS, Chu CT, Chua JP, Chua JJE, Chung H, Chung KP, Chung S, Chung SH, Chung YL, Cianfanelli V, Ciechomska IA, Cifuentes M, Cinque L, Cirak S, Cirone M, Clague MJ, Clarke R, Clementi E, Coccia EM, Codogno P, Cohen E, Cohen MM, Colasanti T, Colasuonno F, Colbert RA, Colell A, Colic M, Coll NS, Collins MO, Colombo MI, Colon-Ramos DA, Combaret L, Comincini S, Cominetti MR, Consiglio A, Conte A, Conti F, Contu VR, Cookson MR, Coombs KM, Coppens I, Corasaniti MT, Corkery DP, Cordes N, Cortese K, Costa MDC, Costantino S, Costelli P, Coto-Montes A, Crack PJ, Crespo JL, Criollo A, Crippa V, Cristofani R, Csizmadia T, Cuadrado A, Cui B, Cui J, Cui Y, Cui Y, Culetto E, Cumino AC, Cybulsky AV, Czaja MJ, Czuczwar SJ, D'Adamo S, D'Amelio M, D'Arcangelo D, D'Lugos AC, D'Orazi G, da Silva JA, Dafsari HS, Dagda RK, Dagdas Y, Daglia M, Dai X, Dai Y, Dai Y, Dal Col J, Dalhaimer P, Dalla Valle L, Dallenga T, Dalmasso G, Damme M, Dando I, Dantuma NP, Darling AL, Das H, Dasarathy S, Dasari SK, Dash S, Daumke O, Dauphinee AN, Davies JS, Davila VA, Davis RJ, Davis T, Dayalan Naidu S, De Amicis F, De Bosscher K, De Felice F, De Franceschi L, De Leonibus C, de Mattos Barbosa MG, De Meyer GRY, De Milito A, De Nunzio C, De Palma C, De Santi M, De Virgilio C, De Zio D, Debnath J, DeBosch BJ, Decuypere JP, Deehan MA, Deflorian G, DeGregori J, Dehay B, Del Rio G, Delaney JR, Delbridge LMD, Delorme-Axford E, Delpino MV, Demarchi F, Dembitz V, Demers ND, Deng H, Deng Z, Dengjel J, Dent P, Denton D, DePamphilis ML, Der CJ, 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| D001519 | Behavior |