Introduction

Alcohol use disorder (AUD) is a prevalent mental health condition characterized by compulsive, heavy drinking and the inability to control alcohol consumption [1]. A core feature of addiction involves the persistent memory of drug-associated “pleasure” and the high propensity for relapse triggered by drug-related cues, which are thought to be caused by maladaptive synaptic plasticity within critical reward circuits [2]. The ventral tegmental area (VTA), a crucial region for reward processing and motivation, plays a central role in the development and maintenance of AUD [3, 4]. Although it is well established that alcohol hijacks synaptic plasticity in the VTA, the precise cellular and molecular mechanisms underlying chronic ethanol-induced adaptations remain poorly understood.

Substantial evidence indicates that long-term changes in synaptic strength, such as long-term potentiation (LTP) and depression (LTD), are involved in the neurobiological basis for learning, memory, and addictive behaviors [5]. Acute ethanol exposure increases the firing rate of midbrain dopaminergic neurons and elevates dopamine levels [6]. Acute ethanol also disrupts various forms of LTP across multiple brain regions, including kainate receptor-dependent LTP in the basolateral amygdala [7], N-methyl-d-aspartate receptor (NMDAR)-dependent LTP in the prefrontal cortex (PFC) [8], and NMDAR-dependent LTP in the hippocampal CA1 region [9]. Acute ethanol likewise impairs metabotropic glutamate receptor-dependent LTP in the nucleus accumbens (NAc) core [10], while paradoxically inducing LTP via GluN2B NMDAR in the dorsal striatum [11]. Our previous studies demonstrated that acute ethanol exposure inhibits long-term potentiation of GABAergic synapses (LTPGABA) onto dopamine (DA) neurons in VTA [12], where LTPGABA normally acts as a “brake” on dopaminergic neuron activity [13, 14]. These findings collectively suggest that dysregulation of synaptic potentiation may contribute critically to AUD. However, while acute effects are increasingly documented, how chronic ethanol exposure alters GABAergic plasticity in the VTA remains largely unexplored.

Brain-derived neurotrophic factor (BDNF) is a widely studied neurotrophin, which plays a pivotal role in neuronal development, synaptic plasticity, and the pathophysiology of psychiatric disorders [15,16,17]. BDNF is known to mediate activity-dependent LTP in the hippocampus and other regions [18]. Both BDNF and its high-affinity receptor, tropomyosin receptor kinase B (TrkB), are abundantly expressed along the mesocorticolimbic dopamine pathway [19, 20] and are closely associated with addiction-related behaviors [21,22,23]. We newly report that chronic ethanol exposure decreases BDNF expression in the VTA, and that local administration of BDNF or a TrkB agonist decreases ethanol intake and alleviates symptoms of ethanol withdrawal [24, 25]. However, BDNF exerts region-specific, and sometimes opposing effects, on drug seeking: BDNF promotes cocaine-seeking when injected into the NAc [26], suppresses drug seeking when delivered into the PFC [27], and induces an opiate-like reward state in the VTA [28]. These divergent outcomes underscore the importance of defining circuit-specific roles of BDNF in drug addiction. Given the role of BDNF in regulating synaptic strength [29, 30] and its lower levels of expression in the VTA following chronic ethanol [25], we postulated that BDNF-TrkB signaling may serve as a critical link between ethanol exposure and GABAergic plasticity. Specifically, we hypothesized that the loss of BDNF signaling contributes to the impaired LTPGABA, thereby removing a key inhibitory constraint on VTA DA neurons and promoting maladaptive ethanol-related behaviors.

In this study, we first employed in vivo fiber photometry to characterize the dynamic trajectory of VTA DA neuron activity throughout chronic intermittent alcohol exposure. We then combined ex vivo electrophysiology, molecular biology, pharmacological methods, and region-specific genetic knockdown to test whether chronic ethanol disrupts LTPGABA via the BDNF-TrkB, and if restoring this molecular pathway can rescue the impaired synaptic plasticity and dynamics of DA neuron activity, and attenuate alcohol-seeking behavior at last.

Materials and methods

Animals

All experimental procedures were approved by the Institutional Animal Care and Use Committee of Mudanjiang Medical University. To minimize the effects of sex hormones like estrogen [31], oxytocin [32], and to limit the impact of ethanol on synaptic plasticity across developmental stages [33, 34], we employed 8-week-old adult male mice. Wild-type C57BL/6 J mice were obtained from the Center for Comparative Medicine of Mudanjiang Medical University (SYXK(Hei)2024-015). DAT-IRES-Cre mice (on a C57BL/6 J background) were provided by Changzhou Cavens Laboratory Animal Co., Ltd. (SCXK(Su)2021-0013). All mice were group-housed under standard specific-pathogen-free conditions with a 12-h light/dark cycle, ambient temperature of 22–25  °C, and humidity of 50 ± 10%. They had ad libitum access to standard laboratory chow (LAD 10000 M) and water. Sample sizes for animal experiments were determined based on established protocols from prior studies investigating similar behavioral paradigms.

Chemicals and reagents

The majority of chemical reagents were sourced from Sigma-Aldrich (St. Louis, USA) and Tocris Bioscience (Bristol, UK). Ethanol (95%) was obtained from Henan Hanyong Alcohol Co., Ltd. (Henan, China). Recombinant human BDNF was from Absin Biotechnology (Shanghai, China; catalog #abs04185). The pharmacological agents K252a (catalog #HY-N6732), Muscimol (catalog #HY-N2313), and Gabazine (catalog #HY-103533) were acquired from MedChemExpress (New Jersey, USA). All drugs for microinjection were freshly prepared on the day of the experiment using the vehicles specified in the methods.

Behavioral procedures

Intermittent access to ethanol via a 2-bottle choice (IA2BC)

Ethanol solutions (v/v) were prepared by diluting 95% ethanol with tap water. The IA2BC paradigm, adapted from our previous study [35], is illustrated in Fig. 1A. Specifically, adult male C57 mice were individually housed in cages, each equipped with 50-mL centrifuge tubes, which served as drinking vessels with steel ball sippers for water and ethanol. Following a minimum 3-day acclimatization period to the centrifuge tubes, the mice were offered a 3% ethanol solution and water on day 1. On day 2, the ethanol bottle was replaced with a second water bottle. On day 3, the initial water bottle was replaced with a 6% ethanol solution. This sequence was repeated, gradually increasing the ethanol concentration in increments of 3%, 6%, 10%, and finally 20%. To avoid side bias, bottle placement (left or right) alternated daily. The body weights of the mice were measured weekly, and average weekly “drip” was calculated to adjust for spillage or evaporation (loss of liquid in the cage with no animal present). Ethanol consumption was quantified as follows: Ethanol intake (g/kg/24 h) = [(ethanol intake in grams – “drip” loss in grams) × (ethanol concentration) × (density of ethanol in g/mL)] / (body weight in kg) / 24 h. Ethanol preference was expressed as the percentage of ethanol solution volume consumed relative to the total fluid (ethanol + water) volume intake, expressed as: Ethanol preference (%) = [(ethanol solution volume intake (mL)) / (total fluid intake (mL))] × 100%. Throughout IA2BC, mice had unrestricted access to food and fluids. Following 21 days of IA2BC, mice were randomly assigned to different withdrawal groups (0 hour, 3 days, 7 days) for subsequent ethanol withdrawal-related procedures.

Fig. 1: Chronic Ethanol Exposure Dynamically Reshapes VTA DA Neuron Activity in Vivo.
Fig. 1: Chronic Ethanol Exposure Dynamically Reshapes VTA DA Neuron Activity in Vivo.
Full size image

(A) Schematic of the intermittent access two-bottle choice (IA2BC) paradigm. (B) Escalating 24 h ethanol intake across 21 days of IA2BC. Ethanol intake increased from 3.66 ± 0.25 g/kg/24 h on day 1 to 19.78 ± 1.04 g/kg/24 h by day 21 (n = 24 mice). (C) Ethanol preference during IA2BC. The average preference over the 21-day period was 68.17 ± 3.79% (n = 24 mice). (D) Total 24 h fluid intake (mL) of IA2BC and water-only control mice. There was no significant difference between groups (Two-way ANOVA, F(1, 28) = 0.002, p > 0.05; n = 10 control mice, n = 24 IA2BC mice). (E) Body weight of IA2BC and water-only control mice. There was no significant difference between groups (Two-way ANOVA, F(1, 28) = 0.28, p > 0.05; n = 10 control mice, n = 24 IA2BC mice). (F) Schematic of AAV injection for GCaMP7f expression in VTA DA neurons (left). Coronal VTA section showing immunofluorescence for TH (red, DA neurons), expressed GCaMP7f reporter (dTomato, gray), and DAPI (blue). Scale bar, 100 µm. (G) Schematic of in vivo fiber photometry recording in homecage. Licking events for water or ethanol were detected by lickometers. (H-K) Representative average calcium transients (ΔF/F) aligned to licking onset (dashed line at 0 s) for ethanol (red) and water (blue) from a single mouse on Day 1 (H), Day 3 (I), Day 7 (J), and Day 21 (K). Traces represent mean ± SEM of all trials from one representative animal per time point. (L) Population heatmaps of ΔF/F responses (aligned to lick onset, dashed line) for all recorded mice. Left: Ethanol licking events. Right: Water licking events. Each row represents the average response of one mouse (n = 8 mice per time point). (M) Quantification of peak ΔF/F for ethanol (red) and water (blue) events across the four time points. Two-way ANOVA revealed significant main effects of Day (F (3, 42) = 15.62, p < 0.0001) and Fluid (Ethanol vs. Water) (F (1, 14) = 127.1, p < 0.0001), with a significant interaction (F (3, 42) = 12.90, p < 0.0001). Post hoc comparisons (Tukey’s test for across-day ethanol; Bonferroni’s test for within-day fluid): Ethanol: Day 1 (3.32 ± 0.23%) vs. Day 3 (4.82 ± 0.22%), p < 0.0001; Day 1 vs. Day 7 (4.36 ± 0.23%), p = 0.0027; Day 1 vs. Day 21 (5.80 ± 0.27%), p < 0.0001; Day 3 vs. Day 21, p = 0.0047; Day 7 vs. Day 21, p < 0.0001. Within-day Ethanol vs. Water: Day 1 (Water: 2.56 ± 0.18%), p = 0.0426; Day 3 (Water: 2.72 ± 0.19%), p < 0.0001; Day 7 (Water: 2.76 ± 0.15%), p < 0.0001; Day 21 (Water: 2.69 ± 0.15%), p < 0.0001. Water responses did not differ across days. (N) Quantification of area under the curve (AUC, %·s) for ethanol (red) and water (blue) events. Two-way ANOVA revealed significant main effects of Day (F (2.80, 39.16) = 16.70, p < 0.0001) and Fluid (F (1, 14) = 172.0, p < 0.0001), with a significant interaction (F (3, 42) = 14.21, p < 0.0001). Post hoc comparisons (Tukey’s test for across-day ethanol; Bonferroni’s test for within-day fluid): Ethanol: Day 1 (6.78 ± 0.53%·s) vs. Day 3 (10.42 ± 0.58%·s), p = 0.0058; Day 1 vs. Day 7 (9.86 ± 0.64%·s), p = 0.0168; Day 1 vs. Day 21 (13.26 ± 0.68%·s), p = 0.0002; Day 7 vs. Day 21, p = 0.0187. Within-day Ethanol vs. Water: Day 1 (Water: 4.35 ± 0.41%·s), p = 0.0122; Day 3 (Water: 4.47 ± 0.42%·s), p < 0.0001; Day 7 (Water: 4.79 ± 0.33%·s), p = 0.0001; Day 21 (Water: 4.64 ± 0.37%·s), p < 0.0001. Water responses did not differ across days. All bar/box plots in (M, N) show data from n = 8 mice per time point. Data are presented as mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.

Operant ethanol self-administration

The protocol was adapted from previous studies [36,37,38,39]. Overnight training and subsequent experiments were conducted in operant chambers (Skinner box XR-XS109, Shanghai Xinruan Information Technology Co., Ltd., China). Each chamber, with a stainless-steel grid floor and modular test area (22×22×20 cm), was situated within a ventilated, sound-attenuated compartment. The chambers were equipped with 2 pressable stainless-steel levers, each topped with a white cue light. Correct responses triggered liquid reward delivery from a sipper tube via pump. Specifically, pressing the active lever illuminated the cue light for 2000 ms, dispensing approximately 10 μL of liquid over 50 ms, followed by a 5-s timeout during which no responses were required. The VisuTrack software (Shanghai Xinruan Information Technology Co., Ltd., China) was used to log data on session durations, lever presses, reward collections, and cue light activations, among other parameters.

Habituation: overnight training

Mice underwent overnight training (approximately 16 h) in the operant chamber to acclimate to the environment. During this period, the mice could freely explore the chamber and learn to obtain a 10% sucrose solution by pressing the active lever. By contrast, pressing the inactive lever resulted in no programmed consequences. Reward acquisition via lever pressing followed a fixed ratio 1 (FR1) schedule. To ensure adequate energy, food pellets were provided in the chamber throughout the overnight session.

Sucrose fade training

Similar to overnight training, sucrose was gradually replaced to a 10% ethanol solution over 45-min daily sessions of sucrose fading training. The “sucrose fading” protocol was as follows: on days 1–5, 5% sucrose and 5% ethanol; on days 6–8, 2.5% sucrose and 10% ethanol. After complete sucrose phased-out, all sessions used 10% ethanol.

Fixed ratio training

During the daily 45-min fixed ratio (FR) training sessions, the mice initially completed 7 days of training at FR1. Upon achieving stable lever-pressing performance at this ratio, the regimen progressed to 4 days each at FR2, FR3, and FR5. The lever-pressing behavior ultimately stabilized at a baseline response, maintaining an accuracy of at least 0.63.

Progressive ratio training

Following stable FR baseline performance, mice underwent progressive ratio (PR) training to assess the motivation to work for ethanol. The response requirement for each subsequent reward based on the formula: PR= [5e(0.2*R)]- 5, with “R” representing the sequential number of lever presses required to obtain each reward, starting with R = 1 [40]. This generates an increasing series of response requirements (e.g., 1, 2, 4, 6, 9, 12, 15…). The session continued until the mouse failed to complete a ratio within 45 minutes. The breakpoint (BP), defined as the last successfully completed ratio, was used as the primary measure of the animal’s maximal effort or motivation to seek the ethanol reward [41].

Extinction

During the extinction phase, the protocol closely mirrored that of the FR training period; however, it differed in that cues (lights) and the delivery of rewards (ethanol) following correct lever presses were omitted.

Acute slice preparation

Acute brain slices were prepared following methods adapted from previous studies [42, 43]. Briefly, mice were deeply anesthetized with isoflurane and underwent cardiac perfusion with ice-cold, oxygenated choline-based artificial cerebrospinal fluid (ACSF) containing 120 mM choline chloride, 2.5 mM potassium chloride (KCl), 0.5 mM calcium chloride (CaCl2), 7 mM magnesium sulfate (MgSO4), 1.25 mM monosodium phosphate (NaH2PO4), 5 mM sodium ascorbate, 3 mM sodium pyruvate, 26 mM sodium bicarbonate (NaHCO3), and 25 mM glucose. Following perfusion, the brains were rapidly dissected post-decapitation and submerged in ice-cold oxygenated choline-based ACSF. Horizontal slices containing the VTA were accurately cut to a thickness of 220 μm using a vibratome (VT 1000S, Leica), then incubated in the same oxygenated cutting ACSF at 34 °C °C for 15 min. Finally, the slices were allowed to recover at room temperature for at least 1 h in standard ACSF (in mM, 124 sodium chloride (NaCl), 2.5 KCl, 2.5 CaCl2, 2 MgSO4, 1.25 NaH2PO4, 22 NaHCO3, and 10 glucose, pH 7.2–7.3).

Ex vivo electrophysiological recording

Electrophysiological signals were recorded using the MultiClamp 700B amplifier (Molecular Device, San Jose, CA, United States), Digidata 1440 A A/D converter (Molecular Device), and pCLAMP 10.4 software (Molecular Device). Slices were transferred to a recording chamber where ACSF perfusion (2 mL/min)and the temperature (32–34 °C) was maintained using a temperature controller (TC-324B, Warner Instruments, Hamden, CT, United States). The medial terminal nucleus of the accessory optic tract served as a distinctive landmark to identify the VTA [44]. Whole-cell recordings were conducted using glass electrodes (2-3 MΩ) filled with internal solution containing (in mM) 130 KCl, 5 NaCl, 1 magnesium chloride, 2 ATP-Na, 0.1 GTP-Na, 0.2 EGTA, and 10 HEPES. Throughout the experiments, series resistance was continuously online monitored, and the cells were excluded from analysis for deviations >20%.

Putative DA neurons within the VTA were characterized by soma size (>20 μm) and a large Ih current (>100 pA) [45, 46]. Specifically, the steady-state h-current was greater than 100 pA during a voltage step protocol (-70 to -120 mV in 10 mV steps, 1.5 s duration). Furthermore, GABAA receptor-mediated currents were isolated using 20 μM CNQX to block synaptic currents mediated by AMPA receptors and 1 μM strychnine to block synaptic currents mediated by glycine receptors. These currents were then confirmed using 100 μM PTX, which blocks the GABAA receptor. VTA DA neurons were voltage-clamped at -70 mV except during high-frequency stimulation (HFS), when neurons were in current-clamp mode so that the HFS trains were delivered with the membrane potential free to vary. Evoked inhibitory postsynaptics current (eIPSCs) was elicited using bipolar stainless steel stimulating electrode, placed approximately 200–500 μm rostrally to the VTA from the recorded neuron [42]. Stimulus intensities for eIPSC were calibrated to 50–70% of the maximum evoked current to avoid postsynaptic receptor saturation. GABAA receptor-mediated eIPSCs were elicited at 0.1 Hz for 10 min to establish a baseline prior to HFS. For each neuron, once the stimulus intensity was established, it was maintained constant throughout the recording session. Induction of LTPGABA involved stimulating afferents at 100 Hz for 1 s (HFS); the train was repeated twice, with a 20-s interval between trains. Following HFS, eIPSC recording continued for an additional 30–50 min. Pharmacological treatments including: (1) 200 nM K252a [47], a TrkB antagonist, was added to the incubation solution before HFS, and following 10 min of baseline recording, the perfusion was switched to ACSF without K252a; (2) 200 nM K252a was added after HFS and continued until the end of the recording; (3) 20 ng/mL BDNF [47] was added after baseline recording and continued until the end of the recording; (4) under continuous incubation with K252a, 20 ng/mL BDNF was added after 10 min of baseline recording before HFS.

Data were low-pass filtered at 3 kHz, digitized at 10 kHz, and stored on a computer for subsequent offline analysis using the pCLAMP 10.4 software.

Stereotaxic surgeries and microinjections

Mice were anesthetized with a mixture of xylazine (10 mg/kg) and ketamine (80 mg/kg), and secured in a stereotaxic frame (RWD Life Sciences, China). Body temperature was maintained at 37–38  °C°C using a heating pad throughout surgery. All coordinates are relative to bregma according to the Franklin and Paxinos mouse brain atlas [48].

Surgeries for viral-mediated gene knockdown (for ex vivo electrophysiology)

For in vivo knockdown of BDNF or TrkB, wild-type mice received bilateral injections of AAV9-CAG-GFP-mir30shRNA (targeting BDNF, Ntrk2, or a scrambled control; 1×10¹³ vg/mL, WZ Biosciences, China) into the VTA (AP: -3.2 mm, ML: ±0.5 mm, DV: -4.5 mm). A volume of 0.4 µL per side was delivered via a 33-gauge Hamilton syringe at a rate of 0.1 µL/min. The needle was left in place for 5 min post-injection before withdrawal. Mice were allowed at least 3 weeks for viral expression prior to western blot or slice electrophysiology.

The vectors encoded shRNA targeting mouse Bdnf (NCBI RefSeq: NM_007540.4), Ntrk2 (TrkB; NCBI RefSeq: NM_001025074.1), or a non-targeting scrambled control sequence (AAV9-CAG-GFP-mir30shRNA; WZ Biosciences, Jinan, China). The proprietary shRNA sequences were designed and validated by the manufacturer. Prior to packaging, candidate shRNAs were screened in HEK293 cells using quantitative RT-PCR, confirming efficient knockdown of target mRNA levels (e.g., reduction to 24-36% of control for Bdnf and 29-36% for Ntrk2 by the most effective constructs). The final selected shRNA sequences are not disclosed as they are part of the company’s proprietary RNAi platform. For in vivo validation of knockdown at the protein level in the VTA, please refer to Figs. 5B and 5F. Note on Genotyping: The following primer sequences were used for genotyping and molecular validation of the target genes:

Bdnf: Forward 5’-CATGTACGTTGCTATCCAGGC-3’, Reverse 5’-CTCCTTAATGTCACGCACGAT-3’.

Ntrk2: Forward 5’-TGCAGTTCCGCTAGGATTTGG-3’, Reverse 5’-GGGTCAACGCTGTTAGGTTC-3’.

Surgeries for in vivo fiber photometry

DAT-Cre mice were used for calcium imaging. They received a unilateral injection of AAV9-EF1a-DIO-jGCaMP7f-P2A-nls-dTomato (1×10¹³ vg/mL, WZ Biosciences, China) into the left VTA (coordinates as above). Immediately following the viral injection (0.4 µL, 0.1 µL/min, 5-min delay), a custom combined guide cannula (Suzhou Taohuadao Biotechnology, China), designed for sequential drug infusion and optical fiber insertion, was implanted at the same coordinates and secured with dental cement. A dummy cannula was inserted for sealing between experiments. Mice recovered for 3 weeks to allow for sufficient viral expression and protein maturation before fiber photometry recordings.

Surgeries and drug microinjection for operant ethanol-seeking behavior

A separate cohort of mice was implanted with bilateral guide cannulas (26 gauge; Plastics One) targeted at the VTA (coordinates as above). These mice were used for the operant self-administration and progressive ratio tests. After a minimum 7-day recovery and subsequent re-establishment of stable lever-pressing performance, they were randomly assigned to receive bilateral intra-VTA drug microinjections. The treatment groups were: Vehicle, BDNF, K252a, and BDNF+K252a. Recombinant human BDNF (0.5 µg/µL, 0.5 µL/side) [49] was prepared in 0.1% BSA-ACSF. K252a (50 µM, 0.5 µL/side) [35] was prepared in 1% DMSO-ACSF. Drugs were infused at 0.1 µL/min via injection cannulas extending 0.5 mm beyond the guide tip. The cannulas were left in place for an additional 2-5 min post-infusion. PR testing began 30–60 min after microinjection.

Drug microinjection during in vivo fiber photometry recording

For pharmacological experiments during calcium imaging, mice prepared received a unilateral microinjection into the VTA through the combined guide cannula. The treatment groups were: Vehicle, BDNF, Muscimol, BDNF+Gabazine, and BDNF+K252a. BDNF and K252a were prepared as above. Muscimol (GABAA receptor agonist, 1 µg/µL, 0.5 µL) and Gabazine (GABAA receptor antagonist, 0.5 µg/µL, 0.5 µL) were dissolved in ACSF [50]. Fiber photometry recording commenced 10–15 min after the completion of microinjection.

After completing all operant behavioral tests, mice were microinjected bilaterally with an equal volume of Coomassie brilliant blue dye (0.5 µL/side) into the VTA. Brains were sectioned, and injection sites were verified by comparison with the stereotaxic atlas. Data from mice with injection sites located outside the VTA were excluded from analysis (4 out of 30 mice; see Supplementary Figure S1 for placement map). These excluded mice showed no significant behavioral response in PR tests, confirming the site-specificity of the drug effects. Injection sites for the photometry cohort were confirmed post-hoc by immunohistochemistry for the viral reporter (dTomato) and tyrosine hydroxylase.

In vivo fiber photometry recording

In vivo calcium signals from VTA DA neurons were recorded in the homecage during specified days (Days 1, 3, 7, 21) of the IA2BC paradigm. Recordings were conducted during the first hour of the drinking session to capture the core phase of ‘front-loading’ behavior, characterized by rapid, excessive ethanol consumption upon renewed availability [51]. For pharmacological experiments, recordings began 10–15 minutes after intra-VTA microinjection of Vehicle, BDNF, Muscimol, BDNF+Gabazine, or BDNF+K252a.

Licking behavior for ethanol and water was detected in real-time by capacitive touch sensors on custom-made lickometers. The onset of each lick was tagged by a TTL pulse, which was synchronously recorded with the photometry signal to ensure precise temporal alignment between behavior and neural activity. Photometry was performed using a three-color fiber photometry system (Thinker Tech Nanjing Bioscience Inc). Excitation light from 470 nm (for GCaMP7f) and 405 nm (isosbestic control) LEDs was delivered via a 400 μm core, 0.48 NA optical fiber. Emitted fluorescence was collected, filtered, and digitized at 40 Hz. Data acquisition and processing were performed using the FiberAnalysis system software (Thinker Tech Nanjing Bioscience Inc). Raw signals were smoothed with a Lowess filter, and ΔF/F was calculated as (F470- F405)/F405, using the 405 nm channel to correct for motion and bleaching artifacts. For analysis, data were segmented into trials aligned to the onset of individual licking events. The mean ΔF/F during the 2-second window preceding lick onset served as the baseline. From each event-aligned transient, the peak ΔF/F amplitude and the area under the curve (AUC) within a defined post-lick window were calculated for statistical comparison.

Western blot

After the final behavioral test, mice were anesthetized with isoflurane and decapitated for brain collection. The VTA was rapidly excised from the dissected brain slices in ice-cold ACSF. The bilateral VTA samples were homogenized in ice-cold radioimmunoprecipitation assay lysis buffer (P0013B; Beyotime, China) and then centrifuged at 4 °C°C and 12000 g for 20 min. Protein concentration was determined using a bicinchoninic acid protein assay kit (P0012; Beyotime, China). Samples containing 20 μg of protein were electrophoresed on a 12% sodium dodecyl sulfate-polyacrylamide gel, transferred to a polyvinylidene difluoride (PVDF) membrane, and incubated overnight at 4  °C°C with primary antibodies (rabbit anti-BDNF 1:1000, Abcam, Cat# ab108319; rabbit anti-TrkB 1:1000, Cell Signaling Technology, Cat# 4603; rabbit anti-GAPDH 1:1000, Abcam, Cat# ab181602). The following day, the PVDF membrane was washed 3 times with TBST (10 min each) and then incubated at room temperature for 2 h with horseradish peroxidase-conjugated goat anti-rabbit IgG secondary antibody (1:1000, A0208, Beyotime, China). After 3 more washes with TBST (10 min each), protein detection was performed using the BeyoECL Plus chemiluminescence detection kit (P0018S, Beyotime, China) and visualized with a gel imaging system (AI600, GE, USA). Finally, protein grayscale values were analyzed using the ImageJ software. All results were normalized to 100% based on control group averages.

Immunohistochemistry and imaging

To confirm viral expression, immunohistochemistry was performed. Mice were deeply anesthetized and transcardially perfused with ice-cold phosphate-buffered saline (PBS) followed by 4% paraformaldehyde (PFA) in PBS. Brains were post-fixed in 4% PFA overnight at 4 °C°C and then transferred to a 30% sucrose solution for cryoprotection. Coronal sections (40 μm thick) containing the VTA were cut using a vibratome (VT 1000S, Leica). Free-floating sections were permeabilized with 0.3% Triton X-100 (Beyotime, P0096) in PBS for 30 minminutes at room temperature, followed by blocking with 5% normal goat serum (Beyotime, C0265) and 0.1% BSA for 2 hours at room temperature. Sections were then incubated with primary antibodies diluted in blocking solution on a shaker at 4 °C°C overnight (~16 hours). The following primary antibodies were used: rabbit anti-GFP (1:1000; Proteintech Group, Inc, pabg1), rabbit anti-pan-RFP (1:500 for dTomato detection; Proteintech Group, Inc, pabr1), and mouse anti-tyrosine hydroxylase (TH, 1:500; MedChemExpress, YA5393). After extensive washing with PBST, sections were incubated with corresponding secondary antibodies for 2 hours h at room temperature: Alexa Fluor 488-conjugated goat anti-rabbit IgG (1:1000; MedChemExpress, HY-P8002), Alexa Fluor 594-conjugated goat anti-rabbit IgG (1:1000; MedChemExpress, HY-P8003), and Alexa Fluor 647-conjugated goat anti-mouse IgG (1:1000; MedChemExpress, HY-P81013). Nuclei were counterstained with DAPI (1:1000; Beyotime, C1006). Finally, sections were mounted on slides and coverslipped with antifading mounting medium. Fluorescent images were captured using a laser scanning confocal microscope (Olympus FV10).

Statistical analysis

Experimenters were blinded to treatment conditions during data collection (e.g., electrophysiological recordings) and behavioral analysis to prevent observer bias. Data are expressed as means ± SEM. Two-tailed paired t-tests were used for electrophysiological data, one-way analysis of variance (ANOVA) for Western blot and drug microinjection data, and two-way ANOVA for the IA2BC model and Skinner box data, all with a significance level of p < 0.05. Tukey’s test was used for post-hoc analyses when the initial p-value was significant. All data were analyzed using GraphPad Prism (version 8.0.2, San Diego, California, USA). Sample sizes were determined based on previous studies investigating LTPGABA and BDNF effects, ensuring adequate power to detect significant effects. Normality tests and homogeneity test of variance were conducted prior to applying the unpaired t test, paired t test, one-way ANOVA and two-way ANOVA. The data were considered to conform to normal distribution and homogeneity of variance when the obtained p-values were no-significant.

LTP levels were determined by comparing average eIPSC amplitude 5 min before HFS to the average eIPSC amplitude during the 5 min from 20 to 25 min post-HFS. Paired-pulse ratio (PPR, 50 ms interval) and the coefficient of variation (CV) were measured from 30 eIPSCs during this 5-min period. PPR, a presynaptic parameter [52], represents the ratio of the average amplitude of 30 eIPSC2 to 30 eIPSC1 in this study. CV2 of the synaptic current amplitude is negatively correlated with the release probability [53], calculated as the square of the average amplitude of 30 eIPSCs divided by their variance.

Results

Chronic ethanol exposure dynamically reshapes VTA DA neuron activity in vivo

To investigate the neural basis of chronic alcohol use disorder (AUD), we first established stable chronic ethanol consumption in mice using the intermittent access two-bottle choice (IA2BC) paradigm (Fig. 1A). Over 21 days, mice exhibited escalating ethanol intake and sustained preference, while total fluid intake and body weight remained unchanged (Fig. 1B-E), confirming a valid model of chronic ethanol exposure without confounding metabolic effects.

To define the neural adaptations underlying this behavioral progression, we measured the activity of VTA DA neurons in vivo throughout the IA2BC timeline. We expressed the calcium indicator GCaMP7f specifically in VTA DA neurons of DAT-Cre mice and recorded population calcium signals via fiber photometry in freely behaving animals during 1-hour sessions on different days of ethanol exposure (days 1, 3, 7, and 21) (Fig. 1F, G).

Aligning signals to individual drinking events revealed a dramatic and specific characteristic of DA neurons responses to ethanol, but not to water (Fig. 1H-K). The population-level analysis, visualized in heatmaps sorted by magnitude, demonstrated a clear progressive action responding to ethanol exposure: initial modest activation (day 1, 3% ethanol), followed by a potentiated response (day 3, 6% ethanol), then an attenuated and unstable response phase upon first exposure to high concentration of ethanol (day 7, 20% ethanol), and finally stayed on a stabilized, hyper-reactive state after prolonged exposure (day 21, 20% ethanol) (Fig. 1L). In control group, these responses to water remained stable across all stages (Fig. 1L).

Quantitative analysis verified these dynamic changes. Both the peak amplitude (ΔF/F) and area under the curve (AUC) of calcium transients evoked by ethanol licking increased significantly across the four stages (Fig. 1M, N, red). Such changes were not observed for water-licking events (Fig. 1M, N, blue). These in vivo findings suggest a failure in the normal inhibitory regulation of DA neuron activity following chronic ethanol exposure.

Chronic ethanol exposure impairs LTPGABA in a presynaptic manner in VTA DA neurons

Given that synaptic plasticity, particularly long-term potentiation at GABAergic synapses (LTPGABA), serves as a “brake” on DA neuron excitability in the VTA, we hypothesized that impairment of LTPGABA might underlie the observed dysregulation. We applied ex vivo whole-cell recordings of eIPSCs (Fig. 2A-D) to examine the effects of chronic ethanol exposure on LTPGABA in VTA DA neurons. In brain slices from ethanol-naïve mice, high-frequency stimulation (HFS) reliably induced robust LTPGABA (Fig. 2E, G, H). However, HFS completely failed to induce LTPGABA in slices of chronic ethanol-exposed mice (Fig. 2F, G, I), demonstrating that chronic ethanol exposure impairs this form of inhibitory synaptic plasticity. To elucidate probability that this impairment acts on presynaptic or postsynaptic site, we analyzed paired-pulse ratio (PPR) and the coefficient of variation (1/CV2). In control group, HFS induced a significant decrease in PPR and an increase in 1/CV2, supporting a presynaptic expression mechanism of LTPGABA (Fig. 2J, K, M, N; see representative raw traces in Supplementary Fig. S2). However, in ethanol-exposed mice, HFS failed to elicit these presynaptic changes (Fig. 2J, L, M, O; see representative raw traces in Supplementary Fig. S2). These results indicate that chronic ethanol exposure disrupts LTPGABA by specifically reducing the presynaptic GABA release probability.

Fig. 2: Chronic Ethanol Exposure impairs LTPGABA in a Presynaptic manner in VTA DA Neurons.
Fig. 2: Chronic Ethanol Exposure impairs LTPGABA in a Presynaptic manner in VTA DA Neurons.
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(A) Schematic of the recording configuration in a VTA slice. The red dot indicates a recorded DA neuron, and the bipolar stimulating electrode (stim) was placed rostral to the VTA. MT, medial terminal nucleus of the accessory optic tract. (B) Representative images of the recording. Top: A VTA slice under a 10x objective. Bottom: A patched DA neuron (indicated by the pipette) under a 40x objective. (C) Identification of a putative DA neuron by a large hyperpolarization-activated current (Ih). A voltage at -110 mV elicited an Ih >100 pA. (D) Pharmacological isolation of GABAA receptor-mediated eIPSC. Bath application of 100 µM picrotoxin (PTX) blocked the evoked currents. (E) High-frequency stimulation (HFS, 100 Hz) induced LTPGABA in slices from ethanol-naïve (water control) mice. Insets show average eIPSC traces before (black) and 20-25 min after HFS (red). (F) HFS failed to induce LTPGABA in slices from chronic ethanol-exposed mice. (G) Time course of normalized eIPSC amplitude before and after HFS for control (black, n = 8 cells/6 mice) and chronic ethanol exposed group (red, n = 6 cells/6 mice). Data are mean ± SEM. (H) Summary of mean eIPSC amplitude before and after HFS in control mice (Before: 183.8 ± 24.01 pA; After: 331.7 ± 48.96 pA; paired t-test, p < 0.01). (I) Summary of mean eIPSC amplitude before and after HFS in chronic ethanol-exposed mice (Before: 331.8 ± 56.45 pA; After: 338.3 ± 53.25 pA; paired t-test, p > 0.05). (J) Time course of normalized paired-pulse ratio (PPR) before and after HFS (black for water group, n = 8 cells/6 mice; red for chronic ethanol exposed group, n = 6 cells/6 mice). (K) Summary of PPR before and after HFS in control mice (Before: 0.96 ± 0.05; After: 0.80 ± 0.03; paired t-test, p < 0.05). (L) Summary of PPR before and after HFS in chronic ethanol-exposed mice (Before: 0.79 ± 0.03; After: 0.75 ± 0.05; paired t-test, p > 0.05). (M) Time course of normalized 1/CV2 before and after HFS (black for water group, n = 8 cells/6 mice; red for chronic ethanol exposed group, n = 6 cells/6 mice). (N) Summary of 1/CV2 before and after HFS in control mice (Before: 13.02 ± 1.88; After: 28.17 ± 6.08; paired t-test, p < 0.05). (O) Summary of 1/CV2 before and after HFS in chronic ethanol-exposed mice (Before: 50.18 ± 34.11; After: 69.08 ± 41.85; paired t-test, p > 0.05). All summary bar graphs show mean ± SEM. *p < 0.05, **p < 0.01, n.s., not significant.

Notably, chronic ethanol exposure also altered basal GABAergic transmission, as evidenced by increased baseline eIPSC amplitude and decreased paired-pulse ratio (PPR) in ethanol exposure mice (Fig. 2H, I, K, L), suggesting an elevated presynaptic release probability in duce by chronic ethanol exposure. To ensure that these baseline changes did not confound the assessment of synaptic plasticity, we performed an analysis of covariance (ANCOVA). The lack of a significant group × baseline interaction (F (1,12) = 0.38, p = 0.55) and the absence of a correlation between baseline amplitude and the magnitude of LTP (F (1,12) = 0.63, p = 0.43) confirm that the blockade of HFS-induced LTPGABA reflects an impairment of synaptic plasticity surely, independent of pre-existing alterations in basal synaptic strength.

Impaired LTPGABA by chronic ethanol exposure recovers after 7 days of withdrawal

We next asked whether the impairment of LTPGABA induced by chronic ethanol exposure was reversible after cessation of drinking. Electrophysiological recordings on VTA DA neurons revealed that LTPGABA remained absent 3 days after withdrawal (Fig. 3A, C, D, F). However, 7 days post-withdrawal, HFS successfully induced LTPGABA with a magnitude comparable to that in ethanol-naïve mice (Fig. 3B, C, E, G), indicating a full recovery of this inhibitory synaptic plasticity. Given its closely involving action on synaptic plasticity, the temporal profile of this recovery prompted us to examine the expression levels of BDNF in VTA on different time points. We measured BDNF expression in the VTA across the above withdrawal time points. Western blot analysis showed that BDNF protein levels, significantly decreased after chronic exposure till 3 days after withdrawal, and returned to baseline level 7 days after withdrawal (Fig. 3H, I), indicating a close temporal correlation between the restoration of inhibitory synaptic plasticity and BDNF expression.

Fig. 3: Impaired LTPGABA by Chronic Ethanol Exposure Recovers after 7 Days of Withdrawal.
Fig. 3: Impaired LTPGABA by Chronic Ethanol Exposure Recovers after 7 Days of Withdrawal.
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(A) A representative experiment illustrating failed HFS-induced LTPGABA in a VTA DA neuron from a mouse 3 days after withdrawal from chronic ethanol exposure. Inset shows average eIPSC traces before (black) and 20-25 min after HFS (red). (B) A representative experiment showing successful HFS-induced LTPGABA in a VTA DA neuron from a mouse 7 days after withdrawal. Inset as in (A). (C) Time course of averaged normalized eIPSC amplitudes before and after HFS for the 3-day (blue, n = 7 cells/5 mice) and 7-day (orange, n = 6 cells/6 mice) withdrawal groups. Data are mean ± SEM. (D) Summary of mean eIPSC amplitude before and after HFS in the 3-day withdrawal group (Before: 285.2 ± 51.93 pA; After: 272.5 ± 40.31 pA; paired t-test, p > 0.05). (E) Summary of mean eIPSC amplitude before and after HFS in the 7-day withdrawal group (Before: 260.0 ± 46.73 pA; After: 394.1 ± 85.8 pA; paired t-test, p < 0.05). (F) Summary of normalized eIPSC amplitude change for the 3-day withdrawal group (99.02 ± 5.30%; p > 0.05 vs. baseline). (G) Summary of normalized eIPSC amplitude change for the 7-day withdrawal group (150.4 ± 12.01%; p < 0.01 vs. baseline). (H) Representative western blot images showing BDNF protein levels in the VTA from control (Con) and ethanol-exposed mice at 0 hours (W 0 h), 3 days (W 3 d), and 7 days (W 7 d) after withdrawal. GAPDH served as a loading control. (I) Quantification of BDNF protein levels normalized to GAPDH. One-way ANOVA revealed a significant effect (F (3,28) = 4.78, p < 0.01). Post hoc Tukey’s test: Con vs. W 0 h: p < 0.05; Con vs. W 3 d: p < 0.01. n = 8 mice per group. Data are mean ± SEM. *p < 0.05, **p < 0.01, n.s., not significant.

BDNF-TrkB signaling is necessary and sufficient for LTPGABA induction in VTA DA neurons

Having established the temporal correlation between BDNF expression and LTPGABA recovery, we next sought to determine whether BDNF-TrkB signaling is mechanistically required for LTPGABA. We first assessed the effect of blocking TrkB receptors using the selective antagonist K252a in VTA slices from ethanol-naïve mice. Bath application of K252a prior to HFS completely prevented the induction of LTPGABA (Fig. 4A-D). In contrast, when K252a was applied after HFS, it did not affect the maintenance of already established LTPGABA (Fig. 4E-H). These results indicate that TrkB activation is specifically required for the induction, but not the maintenance, of LTPGABA. We then tested whether BDNF itself is sufficient to induce LTPGABA. In the absence of HFS, bath application of exogenous BDNF robustly potentiated GABAergic synapses, effectively mimicking LTPGABA induced by HFS (Fig. 4I-L). This BDNF-induced potentiation was completely abolished when slices were co-incubated with K252a (Fig. 4M-P), a TrkB antagonist, implying that BDNF acts specifically through TrkB receptors.

Fig. 4: BDNF induces LTPGABA via TrkB activation in VTA DA neurons.
Fig. 4: BDNF induces LTPGABA via TrkB activation in VTA DA neurons.
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(A) A representative experiment showing that bath application of the TrkB antagonist K252a (200 nM) prior to HFS blocks LTPGABA induction. Inset shows average eIPSC traces before (black) and 20-25 min after HFS (red). (B) Time course of normalized eIPSC amplitude before and after K252a application and HFS (n = 7 cells/6 mice). (C) Summary of mean eIPSC amplitude before and after HFS in the presence of pre-application K252a (Before: 224.5 ± 68.11 pA; After: 214.9 ± 70.01 pA; paired t-test, p > 0.05). (D) Summary of normalized eIPSC amplitude change with pre-application K252a (93.27 ± 7.93%; p > 0.05 vs. baseline). (E) A representative experiment showing that bath application of K252a (200 nM) after HFS does not affect LTPGABA maintenance. (F) Time course of normalized eIPSC amplitude before and after HFS followed by K252a application (n = 6 cells/6 mice). (G) Summary of mean eIPSC amplitude before and after HFS followed by K252a application (Before: 241.3 ± 48.3 pA; After: 339.0 ± 52.96 pA; paired t-test, p < 0.01). (H) Summary of normalized eIPSC amplitude change with post-HFS K252a application (148.5 ± 11.0%; p < 0.01 vs. baseline). (I) A representative experiment showing that bath application of exogenous BDNF (20 ng/mL) induces LTPGABA in the absence of HFS. (J) Time course of normalized eIPSC amplitude before and after BDNF application (n = 9 cells/8 mice). (K) Summary of mean eIPSC amplitude before and after BDNF application (Before: 228.6 ± 21.22 pA; After: 486.0 ± 95.42 pA; paired t-test, p < 0.05). (L) Summary of normalized eIPSC amplitude change induced by BDNF (201.9 ± 24.79%; p < 0.01 vs. baseline). (M) A representative experiment showing that BDNF-induced LTPGABA is blocked when K252a (200 nM) is present throughout the recording. (N) Time course of normalized eIPSC amplitude before and after BDNF application in the continuous presence of K252a (n = 6 cells/6 mice). (O) Summary of mean eIPSC amplitude before and after BDNF + HFS in the presence of K252a (Before: 176.8 ± 27.93 pA; After: 166.0 ± 23.51 pA; paired t-test, p > 0.05). (P) Summary of normalized eIPSC amplitude change with BDNF + HFS in the presence of K252a (96.16 ± 4.49%; p > 0.05 vs. baseline). All summary data are presented as mean ± SEM. *p < 0.05, **p < 0.01, n.s., not significant.

To obtain direct genetic evidence for this requirement and to rule out potential off-target effects of pharmacological agents, we next performed genetic knockdown of BDNF or TrkB (Ntrk2) in the VTA in vivo. We bilaterally microinjected AAV9 vectors expressing specific mir30shRNAs into the VTA of wild-type mice, using a scrambled shRNA as control (Fig. 5A). After three weeks, western blot analysis confirmed the presence of efficient and specific knockdown of BDNF or TrkB protein in the VTA (Fig. 5B, F). Crucially, in brain slices from mice with VTA-specific BDNF or TrkB gene knockdown, HFS failed to induce LTPGABA (Fig. 5C-E, G-I). In contrast, robust LTPGABA was consistently induced in mice injected with the control virus (Fig. 5J-L). The time course of normalized eIPSC amplitudes across all groups clearly illustrates the specific loss of plasticity only in the knockdown groups (Fig. 5M).

Fig. 5: BDNF-TrkB Signaling is Indispensable for LTPGABA Induction.
Fig. 5: BDNF-TrkB Signaling is Indispensable for LTPGABA Induction.
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(A) Schematic of the experimental strategy (left). AAV9 vectors expressing mir30shRNA targeting BDNF, TrkB (Ntrk2), or a scrambled control sequence under the CAG promoter were bilaterally injected into the VTA of wild-type mice. Middle: Coronal VTA section showing GFP expression (green) and DAPI (blue) three weeks after AAV injection. Scale bar, 100 µm. Right: Schematic of the ex vivo recording configuration for measuring eIPSCs. (B) Validation of BDNF knockdown in the VTA by western blot. Left: Representative blot for BDNF and GAPDH. Right: Quantification shows BDNF protein was reduced to 20.35 ± 2.36% of the level in scramble-injected controls (n = 4 mice per group; unpaired t-test, p < 0.05). (C) A representative experiment showing that HFS fails to induce LTPGABA in a VTA DA neuron from a mouse with VTA-specific BDNF knockdown. (D) Summary of mean eIPSC amplitude before and after HFS in BDNF knockdown mice (Before: 301.7 ± 54.53 pA; After: 326.2 ± 75.78 pA; paired t-test, p > 0.05). (E) Summary of normalized eIPSC amplitude change in BDNF knockdown mice (107.8 ± 13.68%; p > 0.05 vs. baseline; n = 4 cells/4 mice). (F) Validation of TrkB knockdown by western blot. Left: Representative blot for TrkB and GAPDH. Right: Quantification shows TrkB protein was reduced to 28.54 ± 9.58% of control levels (n = 4 mice per group; unpaired t-test, p < 0.05). (G) A representative experiment showing that HFS fails to induce LTPGABA in a VTA DA neuron from a mouse with VTA-specific TrkB knockdown. (H) Summary of mean eIPSC amplitude before and after HFS in TrkB knockdown mice (Before: 308.2 ± 48.23 pA; After: 309.3 ± 40.77 pA; paired t-test, p > 0.05). (I) Summary of normalized eIPSC amplitude change in TrkB knockdown mice (103.1 ± 8.09%; p > 0.05 vs. baseline; n = 4 cells/4 mice). (J) A representative experiment showing that HFS successfully induces LTPGABA in a VTA DA neuron from a mouse injected with the control (scramble) AAV. (K) Summary of mean eIPSC amplitude before and after HFS in scramble control mice (Before: 311.3 ± 33.73 pA; After: 587.5 ± 116.4 pA; paired t-test, p < 0.05). (L) Summary of normalized eIPSC amplitude change in scramble control mice (186.7 ± 25.06%; p < 0.05 vs. baseline; n = 5 cells/4 mice). (M) Time course of averaged normalized eIPSC amplitudes for all three groups before and after HFS, illustrating the specific blockade of LTPGABA induction in BDNF (red) and TrkB (green) knockdown groups compared to the scramble control (gray). Data are mean ± SEM. *p < 0.05.

Thus, combining pharmacological blockade and region-specific genetic knockdown, we conclusively demonstrate that BDNF signaling through its receptor TrkB in the VTA is indispensable for the induction of LTPGABA at GABAergic synapses on DA neurons.

BDNF attenuates ethanol-seeking behavior by restoring LTPGABA and dynamics of DA neuron activity

Having established the necessity of BDNF-TrkB signaling for LTPGABA, we next investigated its functional relevance in ethanol-related behaviors and the underlying neural dynamics in vivo. We first trained mice to self-administer 10% ethanol in an operant conditioning chamber, where active lever pressing was paired with a discrete cue light (Fig. 6A). After 19 days of fixed-ratio training, mice developed stable cue-induced ethanol seeking, with significantly more presses on the active lever than the inactive lever (Fig. 6B and Supplementary Fig. S3A). In subsequent extinction training mice, active lever presses without delivering ethanol or cues, significantly decreased (Supplementary Fig. S3B).

Fig. 6: BDNF Attenuates Ethanol-Seeking Behavior by Restoring GABAergic Inhibition and dynamics of DA Neuron Activity.
Fig. 6: BDNF Attenuates Ethanol-Seeking Behavior by Restoring GABAergic Inhibition and dynamics of DA Neuron Activity.
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(A) Timeline of the operant ethanol self-administration (SA) experiment and drug testing. Mice were trained to self-administer 10% ethanol, underwent extinction, and were then tested following intra-VTA drug microinjection. (B) The number of active and inactive lever presses per session across fixed-ratio (FR) training days, showing stable acquisition of operant responding (n = 12 mice). See Supplementary Fig. S3A for a representative raster plot. (C) Schematic of intra-VTA drug microinjection via a guide cannula. (D) The breakpoint in a progressive ratio (PR) test for mice treated with Vehicle, BDNF, K252a, or BDNF+K252a. One-way ANOVA: F (4, 15) = 7.403, p < 0.01. Post hoc Tukey’s test: EtOH SA vs. BDNF: 12.50 ± 0.9220 vs. 5.00 ± 0.4472, p < 0.0001; Vehicle vs. BDNF: 10.50 ± 1.285 vs. 5.00 ± 0.4472, p < 0.01; BDNF vs. K252a: 5.00 ± 0.4472 vs. 10.00 ± 1.265, p < 0.05; BDNF vs. BDNF+K252a: 5.00 ± 0.4472 vs. 9.50 ± 0.922, p < 0.05. n = 6 mice per group. (E) In vivo recording strategy. Top left: Schematic for jGCaMP7f expression. Bottom left: Coronal VTA section showing TH+ neurons (red), jGCaMP7f reporter (gray), and DAPI (blue). Scale bar, 100 µm. Top right: Timeline of the IA2BC and photometry recording experiment. Bottom right: Design of the custom combined cannula for guide sealing, drug microinjection, and fiber coupling. (F-J) Representative average calcium transients (ΔF/F) aligned to licking onset (dashed line at 0 s) for ethanol (red) and water (blue) from a single mouse per group following intra-VTA treatment with Vehicle (F), BDNF (G), Muscimol (H), BDNF+Gabazine (I), or BDNF+K252a (J). Traces are mean ± SEM of all trials from one representative animal. (K) Population heatmaps of ΔF/F responses (aligned to lick onset, dashed line). Left: Ethanol licking events. Right: Water licking events. Each row represents the average response of one mouse (n = 6 mice per group). (L) Quantification of peak ΔF/F for ethanol (red) and water (blue) events across drug treatment groups. Two-way ANOVA revealed significant main effects of Drug (F (4, 40) = 25.95, p < 0.0001) and Fluid (Ethanol vs. Water) (F (1, 10) = 227.1, p < 0.0001), with a significant interaction (F (4, 40) = 27.61, p < 0.0001). Post hoc comparisons for ethanol responses (Tukey’s test): Vehicle (5.89 ± 0.22%) vs. BDNF (3.50 ± 0.14%), p = 0.0013; Vehicle vs. Muscimol (3.20 ± 0.13%), p = 0.0009; BDNF vs. BDNF+Gabazine (5.57 ± 0.23%), p = 0.0057; BDNF vs. BDNF+K252a (5.57 ± 0.17%), p = 0.0004; Muscimol vs. BDNF+Gabazine, p = 0.0040; Muscimol vs. BDNF+K252a, p = 0.0002. Water responses did not differ between groups. Within-group comparisons (Bonferroni’s test): Vehicle (Water: 2.72 ± 0.09%), p < 0.0001; BDNF (Water: 2.83 ± 0.13%), p = 0.0279; BDNF+Gabazine (Water: 2.91 ± 0.27%), p = 0.0001; BDNF+K252a (Water: 2.79 ± 0.12%), p < 0.0001. (M) Quantification of area under the curve (AUC, %·s) for ethanol (red) and water (blue) events. Two-way ANOVA revealed significant main effects of Drug (F (4, 40) = 25.63, p < 0.0001) and Fluid (F (1, 10) = 302.1, p < 0.0001), with a significant interaction (F (4, 40) = 28.49, p < 0.0001). Post hoc comparisons for ethanol responses (Tukey’s test): Vehicle (13.33 ± 0.56%·s) vs. BDNF (6.99 ± 0.57%·s), p = 0.0049; Vehicle vs. Muscimol (5.88 ± 0.27%·s), p = 0.0010; BDNF vs. BDNF+Gabazine (12.45 ± 0.78%·s), p = 0.0177; BDNF vs. BDNF+K252a (12.84 ± 0.52%·s), p = 0.0004; Muscimol vs. BDNF+Gabazine, p = 0.0063; Muscimol vs. BDNF+K252a, p = 0.0001. Water responses did not differ between groups. Within-group comparisons (Bonferroni’s test): Vehicle (Water: 4.60 ± 0.20%·s), p < 0.0001; Muscimol (Water: 4.11 ± 0.41%·s), p = 0.0296; BDNF+Gabazine (Water: 4.79 ± 0.63%·s), p = 0.0001; BDNF+K252a (Water: 4.75 ± 0.28%·s), p < 0.0001. (N) A representative experiment showing that bath application of BDNF (20 ng/mL) restores HFS-induced LTPGABA in a VTA slice from a chronic ethanol-exposed mouse. Insets show average eIPSC traces before (black) and 20-25 min after HFS (red). (O) Time course of normalized eIPSC amplitude before and after HFS with BDNF application (n = 6 cells/6 mice). (P) Summary of mean eIPSC amplitude before and after HFS with BDNF (Before: 227.1 ± 47.72 pA; After: 322.6 ± 74.64 pA; paired t-test, p < 0.05). (Q) Summary of normalized eIPSC amplitude change with BDNF (144.3 ± 10.43%; p < 0.01 vs. baseline). All summary data are mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.

To assess the effect of BDNF on the motivation of ethanol seeking, we microinjected BDNF or vehicle directly into the VTA of ethanol self-administering mice (Fig. 6C). BDNF infusion significantly reduced the breakpoint in a progressive ratio paradigm, indicating a lower motivation for ethanol (Fig. 6D). This effect was blocked by co-infusion of the TrkB antagonist K252a with BDNF, confirming effects of BDNF depending on TrkB activation. Consistent with this attenuated motivation, BDNF treatment also decreased the total amount of ethanol consumed during the test session, which effect was blocked by co-infusion of K252a (Supplementary Fig. S3C). Infusion of K252a into VTA alone had no effect on either measurement (Fig. 6D, Supplementary Fig. S3C).

We then sought to determine whether this reduction in operant seeking was associated with status of the hyperactive DA neuron activities characterized in chronic ethanol-exposed mice (Fig. 1), and whether this action involved enhanced GABAergic signaling. We performed in vivo fiber photometry recordings in VTA DA neurons of DAT-cre mice undergoing the IA2BC paradigm training under conditions of intra-VTA microinjection of vehicle, BDNF, the GABAA receptor agonist muscimol, BDNF+K252a, or BDNF+Gabazine (a GABAA receptor antagonist) respectively (Fig. 6E).

BDNF treatment significantly attenuated the peak of calcium transients evoked by ethanol licking (Fig. 6F, G, L). Crucially, muscimol mimicked the effect of BDNF, similarly reducing ethanol-evoked responses, suggesting that enhancing GABAA receptor activity is sufficient to restore dynamics DA neuron activity (Fig. 6H, L). Co-administration of K252a or gabazine completely blocked BDNF’s effect (Fig. 6I, J, L). In control group, none of the drug treatments altered DA neuron responses to water licking (Fig. 6F-J, L, M). Population heatmaps and analysis of the area under the curve (AUC) further illustrated the specific restoration against ethanol-evoked responses (Fig. 6K, M).

Finally, to test if this rapid restoration of dynamics DA neuron activity in vivo is related to synaptic repairment, we returned to ex vivo slice physiology. In VTA slices from chronic ethanol-exposed mice that had undergone the IA2BC paradigm, bath application of BDNF successfully rescued HFS-induced LTPGABA, which was absent otherwise (Fig. 6N-Q).

Together, these results demonstrate that enhancing BDNF signaling in the VTA attenuates the ethanol motivation by restoring GABAergic inhibitory regulation. This restoration may occur at two levels: BDNF restores the hyperactive in vivo acting patterns of DA neurons during consumption (an effect mimicked by GABAA receptor activation and blocked by GABAA or TrkB antagonist), and concurrently repairs the impaired LTPGABA that is essential for maintaining inhibitory tone.

Discussion

In this study, we found that chronic ethanol exposure impaired HFS-induced LTPGABA in the VTA via reducing presynaptic GABA release. This plasticity deficit recovers after 7 days of withdrawal, paralleling the restoration of BDNF protein levels in the VTA. Using both pharmacological and region-specific genetic knockdown, we found that BDNF signaling through TrkB is necessary and sufficient for LTPGABA induction. Crucially, exogenous BDNF application rescues the impaired LTPGABA in slices from ethanol-exposed mice. In vivo, intra-VTA BDNF microinjection rapidly restores the hyperactive calcium responses in DA neurons during ethanol consumption, a key finding revealed by our fiber photometry recordings, and significantly attenuates cue-driven ethanol-seeking behavior. These behavioral and in vivo neural dynamics depend on TrkB activation, and were mimicked by enhancing GABAA receptor signaling.

Drug addiction is widely viewed as a maladaptive learned behavior [54], in which dopamine dysregulation contributes to disrupted motivation and habitual drug pursuit [55]. Changes in synaptic efficacy, such as LTD and LTP, are likely fundamental mechanisms underlying learning, memory, and addiction [2, 5]. LTP at inhibitory synapses onto VTA DA neurons has been proposed to act as a “brake” on dopaminergic excitability [13, 14]. Our findings reveal that chronic ethanol exposure inhibits LTPGABA by reducing presynaptic GABA release, extending our earlier findings regarding acute ethanol exposure [12]. Interestingly, we also observed that chronic ethanol exposure altered basal GABAergic transmission, increasing the baseline eIPSC amplitude and decreasing the paired-pulse ratio indicating an elevated presynaptic release probability in chronic ethanol exposure mice. To confirm that these baseline differences did not artifactually influence our assessment of plasticity, we performed an analysis of covariance (ANCOVA). The non-significant group × baseline interaction and the absence of a correlation between baseline amplitude and LTP magnitude collectively demonstrate that the ethanol-induced suppression of LTPGABA represents a genuine deficit in synaptic plasticity, rather than a confusing measurement.

It is important to note that mechanisms of HFS-induced inhibitory synaptic LTP vary significantly across brain regions. In visual cortex, LTPGABA induction relies on the activation of postsynaptic GABAB receptors that enhance IP3 synthesis triggered by monoamines, leading to the release of intracellular Ca2+ [56]; whereas in the VTA, it involves a retrograde signaling pathway dependent on nitric oxide-cyclic guanosine monophosphate-protein kinase G (NO-cGMP-PKG pathway) [13, 57]. We propose three non-mutually exclusive mechanisms through which chronic ethanol may impair this plasticity: (1) Epigenetic modifications of μ-opioid receptor (MOR) mRNA via m6A methylation, as reported after chronic intermittent ethanol [58], could disrupt NO-cGMP-PKG signaling downstream of opioid receptors; (2) Bidirectional crosstalk between BDNF-TrkB signaling and NO pathways: where BDNF-TrkB signaling enhances neuronal nitric oxide synthase (nNOS)-dependent NO synthesis [59] and NO-mediated nitration reciprocally modulates TrkB function [60] may be disrupted under low levels of BDNF conditions, impairing postsynaptic NMDAR (GluN2A/2B-containing)-dependent LTPGABA induction; (3) Chronic ethanol exposure reduces synaptic proteins (e.g., PSD-95) and dendritic spine density [61], which could compromise GABAergic synaptic integrity.

Intriguingly, the presynaptic impairment of LTPGABA points to a potential role of BDNF in directly modulating vesicular release machinery. Beyond its classic postsynaptic actions, BDNF-TrkB activation can lead to the opening of transient receptor potential canonical 3 (TRPC3) channels on presynaptic terminals, triggering Ca2+ influx that facilitates neurotransmitter release [62]. We hypothesize that the loss of this BDNF-dependent presynaptic Ca2+ signaling may contribute to the failure to enhance GABA release following HFS in the ethanol-exposed VTA. Future studies employing presynaptic Ca2+ imaging and TRPC3 manipulation may test this model directly, such as synaptophysin-pHluorin (e.g., sypHy) for monitoring vesicle fusion and genetically encoded calcium indicators for presynaptic Ca2+ dynamics, to dissect the precise sequence of events at the presynaptic terminal [63]. While the pharmacological TrkB antagonist K252a is a valuable tool, its potential off-target effects on other kinases necessitate cautious interpretation. Our findings are strengthened by the congruent results from VTA-specific genetic knockdown of BDNF or TrkB (Ntrk2), which recapitulated the blockade of LTPGABA without affecting baseline transmission. This genetic approach provides compelling causal evidence for the specific requirement of BDNF-TrkB signaling in this form of plasticity.

Many neuroadaptations induced by chronic ethanol are reversible after withdrawal. For instance, somatic withdrawal symptoms and intracranial self-stimulation thresholds peak within hours and return to baseline within days [25, 64]. Synaptic plasticity also shows recovery; paired-pulse facilitation and LTP in the hippocampus are restored several days after ethanol withdrawal [65]. Our data demonstrated that both LTPGABA and BDNF levels in the VTA recover after 7 days of abstinence. The mechanisms underlying BDNF recovery may involve the reversal of ethanol-induced epigenetic silencing at BDNF promoters [66, 67] and the resolution of neuroinflammation, allowing glial cells to resume normal BDNF secretion [68,69,70]. Notably, astrocyte-derived BDNF has been shown to regulate late-phase synaptic plasticity [70], suggesting that glial contributions may be particularly important for the slow, restorative phase of inhibitory tone during prolonged withdrawal.

The role of BDNF in drug-seeking behavior is complex and region-specific. While intra-NAc BDNF enhances cocaine-seeking [26] and intra-PFC BDNF suppresses it [27], our results demonstrate that intra-VTA BDNF attenuates ethanol-seeking. This discrepancy likely reflects the distinct primary synaptic targets of different drugs; cocaine predominantly affects glutamatergic transmission [71], whereas chronic ethanol, as shown here, robustly impairs GABAergic plasticity in the VTA. The reduction in ethanol-seeking motivation after treatment of BDNF is likely mediated through its role in restoration of LTPGABA, thereby inhibits activities of hyperactive DA neurons. This is consistent with studies showing that chemogenetic inhibition of VTA DA neurons reduces cue-induced alcohol-seeking [72]. Conversely, the induction of LTP at excitatory synapses within other reward-related circuits, such as the corticostriatal pathway, has been shown to enhance alcohol-seeking behavior [73].

From a translational perspective, our findings highlight BDNF-TrkB signaling in the VTA as a promising target for AUD intervention. 7,8-dihydroxyflavone (7,8-DHF), a small-molecule TrkB agonists, offers a particularly viable pharmacologic strategy. 7,8-DHF crosses the blood-brain barrier, mimics the neurotrophic effects of BDNF in brain, and our prior work has demonstrated its efficacy in reducing ethanol intake and withdrawal symptoms in rodent models [25]. Beyond pharmacological approaches, our results suggest that interventions capable of enhancing inhibitory tone within the VTA may hold therapeutic value. In this regard, non-invasive brain stimulation techniques, such as transcranial magnetic stimulation (TMS), which can modulate cortical excitability and influence subcortical circuits including the mesolimbic pathway, represent a clinically established tool worthy of future investigation. Such strategies, which aim to rebalance reward circuit activity, may be strategically deployed during the high-risk period of early abstinence. Together, these avenues, from readily testable pharmacotherapies to neuromodulation, translate our mechanistic insight into tangible therapeutic possibilities.

Therefore, we propose a unified model in which the loss and restoration of BDNF-TrkB signaling in the VTA constitute a pivotal switch governing GABAergic synaptic plasticity, DA neuron activity dynamics, and maladaptive ethanol-seeking behavior (Fig. 7). This schematic integrates our key experimental findings across scales, depicting the pathological state induced by chronic ethanol exposure (left panel) and the restorative effects of exogenous BDNF (right panel), alongside a detailed hypothesis of the underlying pre- and postsynaptic molecular interactions (central panel). Future studies may validate the specific molecular pathways proposed in this model and to explore their translational potential.

Fig. 7: BDNF Restores Ethanol-Impaired GABAergic Synaptic Plasticity and Reduces Effortful Reward-Seeking Behavior.
Fig. 7: BDNF Restores Ethanol-Impaired GABAergic Synaptic Plasticity and Reduces Effortful Reward-Seeking Behavior.
Full size image

Schematic summary of the study’s key findings and proposed mechanism. (Left panel, Chronic Ethanol Exposure) In the intermittent access two-bottle choice (IA2BC) paradigm, chronic ethanol consumption decreases BDNF levels (red downward arrow) in the ventral tegmental area (VTA). This leads to impaired long-term potentiation of GABAergic synapses onto VTA DA neurons (LTPGABA; represented by unchanged eIPSC traces), which fails to provide a functional “brake” (red X over brake icon) on DA neuron activity. Consequently, DA neurons become hyperactive, contributing to increased motivation for ethanol, as evidenced by a higher breakpoint in an operant progressive ratio task (red upward arrow). The inset shows a coronal mouse brain section highlighting the VTA (red dashed box). (Right panel, Exogenous BDNF Intervention) Microinjection of exogenous BDNF into the VTA restores BDNF-TrkB signaling. This normalizes DA neuron hyperactivity and rescues LTPGABA (represented by potentiated eIPSC traces), thereby re-engaging the inhibitory “brake”. At the behavioral level, this synaptic repair translates to a significant reduction in the motivation to work for ethanol, indicated by a lower breakpoint (blue downward arrow). (Central panel, Proposed Synaptic Mechanism) A detailed view of a GABAergic synapse in the VTA illustrates the proposed molecular pathways. BDNF binding to postsynaptic TrkB receptors may enhance NMDAR function within the PSD-95 scaffold, leading to calcium influx, activation of neuronal nitric oxide synthase (nNOS), and production of nitric oxide (NO). NO acts as a retrograde messenger, diffusing to the presynaptic terminal to activate the sGC-cGMP-PKG pathway, ultimately promoting GABA release. Additionally, BDNF binding to presynaptic TrkB receptors may activate phospholipase CY (PLCY), leading to diacylglycerol (DAG)-mediated activation of transient receptor potential canonical 3 (TRPC3) channels, causing calcium influx that facilitates GABA vesicle release. Together, these actions converge to restore synaptic strength at inhibitory synapses.

Several limitations of this study warrant consideration. While we identified DA neurons using established electrophysiological criteria (large Ih >100 pA and soma size), morphological and Ih-based identification alone is not infallible. We focused recordings in the lateral VTA where the correlation between Ih and tyrosine hydroxylase expression is high to maximize accuracy [45, 74]. The exclusive use of male mice, while reducing hormonal variability, precludes understanding of sex differences in BDNF-TrkB modulation of LTPGABA and ethanol seeking, a direction for future research because of interactions between estrogen, BDNF, and addiction vulnerability [31, 32, 75, 76]. Future studies should include females to assess sex differences in BDNF-TrkB modulation of LTPGABA and ethanol-seeking behavior. Finally, GABAergic inputs to the VTA are heterogeneous, originating from local interneurons, the nucleus accumbens, and brainstem nuclei, each with potentially distinct plasticity mechanisms [42, 44, 77]. Our stimulation electrode placement may activate a mix of these afferents. Future studies using pathway-specific optogenetic stimulation, combined with in vivo LTPGABA induction, will be essential to determine whether specific GABAergic circuits are preferentially impaired by ethanol and/or rescued by BDNF, and whether their rescue is sufficient to modulate the VTA-NAc DA projection during reward-seeking behaviors [78,79,80].

In conclusion, our results suggest that chronic ethanol exposure disrupts inhibitory synaptic plasticity in the VTA by suppressing BDNF-TrkB signaling, leading to hyperactive DA neuron activities and enhanced alcohol motivation. Restoring this pathway, either pharmacologically or genetically, rescues GABAergic potentiation, restores DA neuron dynamics, and reduces ethanol-seeking behavior. These findings establish BDNF-TrkB signaling as a critical mediator of synaptic and behavioral adaptations in AUD and reveal promising therapeutic means for AUD.